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Linear Stability Analysis of Oblique Couette-Poiseuille flows

Muhammad Abdullah\aff1    George I. Park\aff1 \corresp [email protected] \aff1 Department of Mechanical Engineering, University of Pennsylvania, PA, 19104, US
Abstract

We perform a detailed numerical study of modal and non-modal stability in oblique Couette-Poiseuille profiles, which are among the simplest examples of three-dimensional boundary layers. Through a comparison with the Orr-Sommerfeld operator for the aligned case, we show how an effective wall speed succinctly characterizes modal stability. Large-scale parameter sweeps reveal that the misalignment between the pressure gradient and wall motion is, in general, destabilizing. For flows that are sufficiently oblique, the instability is found to depend exclusively on the direction of wall motion and not on its speed, a conclusion supported, in part, by the perturbation energy budget and the evolution of the critical layers. Closed forms for the critical parameters in this regime are derived using a simple analysis. Finally, a modified long-wavelength approximation is developed, and the resulting asymptotic eigenvalue problem is used to show that there is no cutoff wall speed for unconditional stability whenever the angle of wall motion is non-zero, in stark contrast to the aligned case. From a non-modal perspective, pseudo-resonance is examined through the resolvent and the ϵ\epsilon-pseudospectra. An analysis of the unforced initial value problem shows that the maximum energy gain is highly dependent on both the magnitude and direction of the wall velocity. However, the strongest amplification is always achieved for configurations that are only weakly skewed. Finally, the optimal perturbations appear to develop via a lift-up effect induced by an Orr-like mechanism.

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1 Introduction

Shear flows demonstrate rich dynamical behavior and underpin a variety of technological applications, ranging from microfluidics and turbo-machinery to large-scale aerodynamics and meteorology. Quantifying the transition to turbulence in these flows is a multi-faceted problem, and despite much concentrated effort in the past few decades, a unified description is yet to be agreed upon. The state-of-the-art on the topic can be found in references such as Kerswell (2005); Manneville (2015); Barkley (2016); Eckhardt (2018); Avila et al. (2023). Unfortunately, the insight afforded by prevailing theories is rather limited since a vast majority, primarily for the sake of simplification, focus on flows that are statistically two-dimensional, with a mean flow direction independent of the wall-normal coordinate. In contrast, most practical flow scenarios suffer from non-equilibrium effects that introduce anisotropy and symmetry-breaking, inducing a three-dimensional boundary layer described by a skewing of the mean velocity vectors and a flow direction that varies as a non-constant function along the wall-normal axis (Johnston & Flack, 1996). In this work, we systematically examine the stability of a relatively underexplored class of three-dimensional internal flows that are both simple in their description and physically representative in their context.

Usually, the investigation of instability in a fluid system derives from the Navier-Stokes equations (NSEs), appropriately linearized around some time-invariant state of interest. The classical (modal) approach focuses on the eigenvalues of the associated linear operator, and the flow is considered unstable with respect to some dimensionless quantity – usually a Reynolds number ReRe – if there exists a mode with a positive growth rate. These disturbances are capable of achieving exponential-in-time amplification, a type of so-called primary instability, before saturating due to non-linear phenomena. The result is either transition or the development of a steady, modified, base flow susceptible to secondary instabilities. To varying degrees of success, this framework has been applied to numerous laminar profiles, such as rectilinear pressure-driven flow (Thomas, 1953; Gage & Reid, 1968; Orszag, 1971; Zhang et al., 2013), plane-Couette flow (Drazin & Reid, 2004; Zou et al., 2023), classic Rayleigh-Bénard convection (Rayleigh, 1916; Chandrasekhar, 1961), Hagen-Poiseuille flow (Salwen et al., 1980; Schmid & Henningson, 2001), and the asymptotic suction boundary layer (Hughes & Reid, 1965; Fransson & Alfredsson, 2003). Contextualizing these calculations against experimental observations, however, is not always straightforward, particularly because the most unstable disturbance, as predicted by modal theory, can only be realized in asymptotic time. On the other hand, significant non-modal energy growth can occur on much shorter timescales and is, therefore, not captured (Trefethen et al., 1993; Trefethen, 1997; Schmid & Henningson, 2001; Schmid, 2007). A potential model for this behavior lies in the non-normality of the linearized NSE operator and its, in general, non-orthogonal eigenfunctions. In particular, within a basis expansion, the contribution of these modes can grow or decay at different rates, allowing for a transient amplification of energy. In many canonical flows and their variants, this non-modal growth has been shown to be substantial, even in linearly stable parameter regimes (Farrell, 1988; Reddy et al., 1993; Schmid & Henningson, 1994; Hristova et al., 2002; Meseguer, 2002; Meseguer & Trefethen, 2003; Liu & Liu, 2012).

A flow that has arguably received limited attention in the general fluids literature is the plane Couette-Poiseuille (PCP) flow, generated by the interaction between a pressure gradient and the prescribed motion of one or both boundaries. PCP configurations are standard in geo-physical fluid mechanics (for example, in modeling asthenospheric counterflows; see Turcotte & Schubert (2002)), flow in ducts (Owolabi et al., 2019), and tribology. Comprehensive stability analyses for PCP flows are somewhat sparse in number, and the first few treatments can be found in Potter (1966); Reynolds & Potter (1967); Hains (1967). Described by a wall speed ξ\xi often made non-dimensional with the Poiseuille maximum, the superposition of a (parallel) Couette component with an otherwise pressure-driven flow is, in general, stabilizing, at least in terms of a critical Reynolds number RecRe_{c} below which modal instability is absent. Furthermore, beyond a threshold value for ξ\xi, the base flow is capable of achieving complete modal stability against infinitesimal perturbations, RecRe_{c}\to\infty. Cowley & Smith (1985), using a weakly non-linear analysis, determined this “cutoff” velocity to be ξ0.7\xi\approx 0.7. From a non-modal perspective, Bergström (2004) showed that the peak in transient energy amplification can depend heavily on the relative influence of the Poiseuille and Couette components. Modifications to the geometry and rheology of PCP flows have also been considered, and their linear response analyzed, for example, in Nouar & Frigaard (2009); Guha & Frigaard (2010); Chokshi et al. (2015); Samanta (2020). More recently, using a zero-mean advection velocity setup, Klotz et al. (2017) experimentally probed the sub-critical transition in PCP flows. Uniform turbulence originating from a natural transition was observed beyond Re780Re\approx 780 (with the Reynolds number based on the wall velocity), which stands in reasonable agreement with the results of Tsanis & Leutheusser (1988).

Despite their individual merits, we note that the previous literature on the transitional regime in PCP flows is somewhat restrictive in its applicability. For convenience in modeling or due to experimental limitations, the pressure gradient and wall velocity vectors are almost always assumed to be perfectly co-incident. Although this uni-directional assumption enables a fairly tractable analysis, it breaks down in more practical scenarios, e.g., wind-ocean interactions, where the direction of the pressure gradient in the bulk flow need not be aligned with that of the wind shear. In these cases, a crossflow must be taken into account, and the flow angle cannot be assumed to be constant, potentially affecting, among other aspects, the onset of instability. Therefore, the primary goal of this work is to contribute to this gap.

We note that linear instability in three-dimensional boundary layers has been the subject of extensive prior investigation, with excellent reviews published in Reed & Saric (1989) and Saric et al. (2003). In most flow situations, the introduction of mean three-dimensionality allows for multiple competing mechanisms for transition. For example, in flows over swept wings, local pressure gradients induce a near-wall crossflow component that is inflectional and, therefore, unstable to the inviscid amplification of the so-called crossflow modes (Gray, 1952; Gregory et al., 1955; Bippes, 1999). These modes are co-rotating and, following non-linear saturation, incite breakdown to turbulence via high-frequency secondary instabilities (White & Saric, 2005). Such crossflow instabilities are also common in, for example, the boundary layers that form on rotating disks (Fedorov et al., 1976; Kobayashi et al., 1980; Malik, 1986a). In particular, using von Kármán’s similarity solution for a swirling flow over an infinitely long rotating disk, Malik et al. (1981) determined the critical Reynolds number associated with these crossflow modes to be Rec170Re_{c}\approx 170. Taking into account the streamline curvature and Coriolis effects, the authors refined this estimate in the same work to Rec290Re_{c}\approx 290, which was in better agreement with their experimental results. Later, Malik (1986b) and Balakumar & Malik (1990) found a second minimum in the neutral stability curve at Re450Re\approx 450, which they associated with a viscous-type instability. Other classic studies on the transition of three-dimensional boundary layers include those of swept cylinders (Poll, 1985; Kohama et al., 1988; Itoh, 1996), rotating cones (Kobayashi, 1981; Kobayashi & Izumi, 1983; Kobayashi et al., 1983), and the Ekman layer (Lilly, 1966; Melander, 1983; Spall & Wood, 1984). On the topic of non-modal disturbances, Corbett & Bottaro (2001) found that swept boundary layers subjected to adverse or favorable pressure gradients were prone to larger transient growth than unswept cases. The authors also determined that, similar to two-dimensional flows, streamwise-elongated streaks comprised the most dangerous initial perturbation. More recently, Hack & Zaki (2014) probed the effects of time-harmonic spanwise wall motion on transitional boundary layers using direct numerical simulation. They observed that the wall motion could either suppress or accelerate transition. Using a frozen-in-phase as well as a Floquet approach, Hack & Zaki (2015) attributed this to the competition between the non-modal amplification of boundary layer streaks and the inviscid growth of inflectional modes introduced by the spanwise Stokes profile.

Interestingly, studies on skewed turbulent Couette-Poiseuille flows seem not to be uncommon, though almost every work so far has focused exclusively on wall motion that is purely orthogonal to the pressure gradient. In this community, such cases fall into the category of “shear-driven” or “viscous-induced” three-dimensional boundary layers. Coleman et al. (1996); Howard & Sandham (1997); Le et al. (2000), for example, explored the variation in turbulent statistics of a two-dimensional channel flow after the sudden imposition of a spanwise wall motion. Kannepalli & Piomelli (2000) displaced only a finite section of the wall, focusing on the contrast between the initial response to the perturbation and the subsequent relaxation to a two-dimensional equilibrium turbulence. More recently, Holstad et al. (2010) investigated near-wall coherent structures in a turbulent Couette flow skewed by a spanwise pressure gradient. A common topic of emphasis within these studies seems to be the counter-intuitive structural changes that occur between two-dimensional and three-dimensional (both equilibrium and non-equilibrium) boundary layers. For example, although the addition of mean shear in the two-dimensional case is known to enhance turbulence, it usually leads to a reduction in turbulent stresses in the three-dimensional setting. Furthermore, Townsend’s structure parameter is also often quoted to decrease, indicating a decline in the efficiency of turbulent kinetic energy production by the mean flow. For relevant reviews on the topic, we redirect the reader to Olcmen & Simpson (1993); Eaton (1995); Johnston & Flack (1996). Given the intricate nature of three-dimensional boundary layers and our limited understanding of their physics, it is hoped that this work will supplement and invigorate ongoing investigations in this area.

We structure the remainder of the paper as follows. Section 2 introduces our base flow and develops our analysis frameworks. Sections 3 and 4 explore, respectively, modal and non-modal perturbations. Section 5 offers conclusions and a discussion of relevant future work.

2 Problem Formulation

2.1 Governing Equations and Base Profiles

x~\widetilde{x}z~\widetilde{z}y~\widetilde{y}UwU_{w}θ\thetadp/dx-\mathrm{d}p/\mathrm{d}xy~=h\widetilde{y}=-hy~=h\widetilde{y}=h
Figure 1: A sketch of the three-dimensional flow geometry for oblique Couette-Poiseuille flows. The wall at y~=h\widetilde{y}=h translates with velocity UwU_{w} at an angle θ0\theta\neq 0 to the streamwise direction, inducing a three-dimensional shear flow.

We use the standard equations of motion for an incompressible Newtonian fluid. In the absence of body forces, these can be expressed in dimensional format as follows

ρ[𝒖~t~+(𝒖~~)𝒖~]=~p~+μ~2𝒖~,\rho\left[\dfrac{\partial\widetilde{\boldsymbol{u}}}{\partial\widetilde{t}}+(\widetilde{\boldsymbol{u}}\cdot\widetilde{\nabla})\widetilde{\boldsymbol{u}}\right]=-\widetilde{\nabla}\widetilde{p}+\mu\widetilde{\nabla}^{2}\widetilde{\boldsymbol{u}}, (1)

where 𝒖~=(u~v~w~)\widetilde{\boldsymbol{u}}=\begin{pmatrix}\widetilde{u}&\widetilde{v}&\widetilde{w}\end{pmatrix}^{\intercal} is the Eulerian velocity field, p~\widetilde{p} the hydrodynamic pressure, ρ\rho the fluid density, and μ\mu the dynamic viscosity. The flow of interest in this study is illustrated in the schematic presented in Figure 1. Two rigid surfaces, infinite in the wall-parallel directions and located at y~=±h\widetilde{y}=\pm h, confine an incompressible fluid subject to a fixed streamwise pressure gradient dp/dx>0-\mathrm{d}p/\mathrm{d}x>0. A crossflow is established by additionally translating the top wall with a constant velocity UwU_{w} at an angle θ\theta with respect to the positive x~\widetilde{x}-axis. The steady laminar velocities in the streamwise and spanwise directions, respectively, are given by

U~(y~)=h22μdpdx(1y~2h2)+Uw2(1+y~h)cosθ,W~(y~)=Uw2(1+y~h)sinθ.\widetilde{U}\left(\widetilde{y}\right)=\dfrac{h^{2}}{2\mu}\dfrac{\mathrm{d}p}{\mathrm{d}x}\left(1-\dfrac{\widetilde{y}^{2}}{h^{2}}\right)+\dfrac{U_{w}}{2}\left(1+\dfrac{\widetilde{y}}{h}\right)\cos\theta,\qquad\widetilde{W}\left(\widetilde{y}\right)=\dfrac{U_{w}}{2}\left(1+\dfrac{\widetilde{y}}{h}\right)\sin\theta. (2)

The resulting system is, therefore, a viscous-induced three-dimensional boundary layer, for which the flow angle, defined as ϕ(y)=tan1(W~/U~)\phi(y)=\tan^{-1}(\widetilde{W}/\widetilde{U}), changes with the wall-normal direction. These configurations are herein referred to as oblique Couette-Poiseuille flows (OCPfs) and, to our knowledge, have not received prior treatment in the stability literature, despite being among the simplest three-dimensional flows capable of retaining homogeneity in the streamwise and spanwise directions. Respectively, U~\widetilde{U} and W~\widetilde{W} are Couette-Poiseuille and Couette profiles, their relative strengths modulated by the direction of wall movement. In the limit Uw0U_{w}\to 0, standard Poiseuille flow is recovered. On the other hand, for θ0\theta\to 0 and Uw0U_{w}\neq 0, the crossflow vanishes and the system reduces to the well-known aligned Couette-Poiseuille flow (ACPf), in which the pressure gradient and wall motion coincide exactly.

The parameter space characterizing OCPfs is rather complex, and, as is the case for ACPf, there exist multiple routes to rendering the governing equations non-dimensional. An obvious candidate is UpU_{p}, the so-called Poiseuille velocity scale, which is the streamwise maximum computed in the absence of wall motion. The other option is UmaxU_{\max}, the “actual” streamwise maximum, and is preferred if non-equilibrium effects are expected to significantly distort the streamwise profile away from UpU_{p}. However, in all possible realizations of OCPf, the boundedness of cosθ\cos\theta and sinθ\sin\theta ensures that U~\widetilde{U} is O(Up)O\left(U_{p}\right). Therefore, to facilitate comparison with the previous literature, we choose to scale with UpU_{p}. More specifically, the following non-dimensionalization scheme is adopted

𝒙=𝒙~h,𝒖=𝒖~Up,t=t~h/Up,p=p~ρUp2,\boldsymbol{x}=\dfrac{\widetilde{\boldsymbol{x}}}{h},\qquad\boldsymbol{u}=\dfrac{\widetilde{\boldsymbol{u}}}{U_{p}},\qquad t=\dfrac{\widetilde{t}}{h/U_{p}},\qquad p=\dfrac{\widetilde{p}}{\rho U_{p}^{2}}, (3)

which yields the dimensionless form of the momentum equations

𝒖t+(𝒖)𝒖\displaystyle\dfrac{\partial\boldsymbol{u}}{\partial t}+\left(\boldsymbol{u}\cdot\nabla\right)\boldsymbol{u} =p+1Re2𝒖,\displaystyle=-\nabla p+\dfrac{1}{Re}\nabla^{2}\boldsymbol{u}, (4)
𝒖\displaystyle\nabla\cdot\boldsymbol{u} =0.\displaystyle=0. (5)

Here, Equation (5) represents the incompressibility constraint, and Re=ρUph/μ=Uph/νRe=\rho U_{p}h/\mu=U_{p}h/\nu is a Reynolds number, with ν\nu being the kinematic viscosity. The base velocity profiles become

U(y)=1y2+ξ2(1+y)cosθ,W(y)=ξ2(1+y)sinθ,U\left(y\right)=1-y^{2}+\dfrac{\xi}{2}\left(1+y\right)\cos\theta,\qquad W\left(y\right)=\dfrac{\xi}{2}\left(1+y\right)\sin\theta, (6)

where by defining Rew=Uwh/νRe_{w}=U_{w}h/\nu, we can interpret ξ=Rew/Re=Uw/Up\xi=Re_{w}/Re=U_{w}/U_{p} as the non-dimensional wall-speed. In this setting, the influence of the shear angle on the base profiles becomes more apparent. Suppose that ξ\xi is fixed and θ\theta is varied; while WW maintains its Couette nature, UU evolves continuously as a one-parameter homotopy between ACPf and the plane-Poiseuille flow (θ=n\upi/2\theta=n\upi/2 for odd nn). Therefore, it is reasonable to limit attention to pairs (ξ,θ)[0,1]×[0,2\upi]\left(\xi,\theta\right)\in\left[0,1\right]\times\left[0,2\upi\right], the former due to its physical relevance and the latter due to the periodicity of the base profiles that can be expected to permeate the forthcoming calculations. For select values of the flow parameters, the associated non-dimensional profiles are offered in Figure 2.

Refer to caption
Figure 2: From left to right, plots of the streamwise and spanwise velocities as well as the flow direction ϕ\phi (normalized by \upi\upi) against the wall-normal coordinate yy; (a(ac)c), θ=\upi/4\theta=\upi/4 and ξ{0.2,0.4,0.6,0.8,1}\xi\in\left\{0.2,0.4,0.6,0.8,1\right\}; (d(df)f), ξ=0.5\xi=0.5 and θ{\upi/8,\upi/4,3\upi/8,\upi/2}\theta\in\left\{\upi/8,\upi/4,3\upi/8,\upi/2\right\}. Formally, ϕ\phi is singular near the lower wall, where UU and WW both vanish due to the no-slip condition. However, from l’Hopital’s rule, the limit can be computed as ϕ(y1)=tan1(ξsinθ/(4+ξcosθ))\phi\left(y\to-1\right)=\tan^{-1}\left(\xi\sin\theta/\left(4+\xi\cos\theta\right)\right), evidently the angle between the wall shear stresses.

2.2 The Linearized System

This section follows standard monologues on hydrodynamic stability, and we refer the reader to the works of Schmid & Henningson (2001) or Drazin & Reid (2004), for example. In operator format, the Navier-Stokes equations can be rewritten as

𝒖t=𝒩(𝒖),\dfrac{\partial\boldsymbol{u}^{*}}{\partial t}=\mathcal{N}\left(\boldsymbol{u}^{*}\right), (7)

where 𝒩\mathcal{N} is a non-linear function of the state vector 𝒖=(𝒖p)\boldsymbol{u}^{*}=\begin{pmatrix}\boldsymbol{u}&p\end{pmatrix}^{\intercal}. We decompose 𝒖\boldsymbol{u}^{*} as 𝒖=𝑼+𝒖\boldsymbol{u}^{*}=\boldsymbol{U}^{*}+{\boldsymbol{u}^{\prime}}^{*}, where 𝑼\boldsymbol{U}^{*} is a time-independent base state superposed by a set of infinitesimal fluctuations 𝒖=(𝒖p){\boldsymbol{u}^{\prime}}^{*}=\begin{pmatrix}\boldsymbol{u}^{\prime}&p^{\prime}\end{pmatrix}^{\intercal}. In particular, we have

𝑼=(𝑼P),𝑼=(U(y)0W(y)),P=(2/Re00).\boldsymbol{U}^{*}=\begin{pmatrix}\boldsymbol{U}&P\end{pmatrix}^{\intercal},\qquad\boldsymbol{U}=\begin{pmatrix}U\left(y\right)&0&W\left(y\right)\end{pmatrix}^{\intercal},\qquad\nabla P=\begin{pmatrix}-2/Re&\phantom{-}0&\phantom{-}0\end{pmatrix}^{\intercal}. (8)

By Taylor expanding 𝒩\mathcal{N} around 𝑼\boldsymbol{U}^{*} and neglecting terms that are O(𝒖2)O(\left\lVert{\boldsymbol{u}^{\prime}}^{*}\right\rVert^{2}), we obtain a linearized system of evolution equations for the perturbation variables. To reduce computational complexity and the size of the matrices dealt with, the usual procedure here is to eliminate the pressure. This yields a rephrased system based only on fluctuations in the wall-normal velocity/vorticity 𝒒=(vη)\boldsymbol{q}=\begin{pmatrix}v^{\prime}&\eta^{\prime}\end{pmatrix}

[(t+Ux+Wz)2d2Udy2xd2Wdy2z1Re4]v\displaystyle\left[\left(\dfrac{\partial}{\partial t}+U\dfrac{\partial}{\partial x}+W\dfrac{\partial}{\partial z}\right)\nabla^{2}-\dfrac{\mathrm{d}^{2}U}{\mathrm{d}y^{2}}\dfrac{\partial}{\partial x}-\dfrac{\mathrm{d}^{2}W}{\mathrm{d}y^{2}}\dfrac{\partial}{\partial z}-\dfrac{1}{Re}\nabla^{4}\right]v^{\prime} =0,\displaystyle=0, (9)
[t+Ux+Wz1Re2]ηdWdyvx+dUdyvz\displaystyle\left[\dfrac{\partial}{\partial t}+U\dfrac{\partial}{\partial x}+W\dfrac{\partial}{\partial z}-\dfrac{1}{Re}\nabla^{2}\right]\eta^{\prime}-\dfrac{\mathrm{d}W}{\mathrm{d}y}\dfrac{\partial v^{\prime}}{\partial x}+\dfrac{\mathrm{d}U}{\mathrm{d}y}\dfrac{\partial v^{\prime}}{\partial z} =0,\displaystyle=0, (10)

where 2\nabla^{2} is the usual Laplacian in a Cartesian coordinate system and 42(2)\nabla^{4}\left\langle\cdot\right\rangle\equiv\nabla^{2}\left(\nabla^{2}\left\langle\cdot\right\rangle\right) is the bi-harmonic operator. Hereon, for notational brevity, we drop the prime notation. Note that, contrary to the case of a purely streamwise base flow for which W=0W=0, the so-called Squire equation, Equation (10), is now forced by mean shear from both the streamwise and spanwise profiles, which are, in general, non-zero. The spatial homogeneity can be exploited via a Fourier Transform

𝒒¯(y,t;α,β)=𝒒(x,y,z,t)ei(αx+βz)dxdz\overline{\boldsymbol{q}}\left(y,t;\alpha,\beta\right)=\iint_{-\infty}^{\infty}\boldsymbol{q}\left(x,y,z,t\right)e^{-i\left(\alpha x+\beta z\right)}\,\mathrm{d}x\,\mathrm{d}z (11)

to obtain the canonical form of the Orr-Sommerfeld-Squire (OSS) system. Here, α,β\alpha,\beta\in\mathbb{R} are the real-valued wavenumbers in the xx and zz directions and 𝒒¯=(v¯η¯)\overline{\boldsymbol{q}}=\begin{pmatrix}\overline{v}&\overline{\eta}\end{pmatrix} is a block vector of Fourier coefficients. The transformed equations can be compactly written as

\mathsfbiL𝒒¯=t\mathsfbiM𝒒¯,\mathsfbi{L}\,\overline{\boldsymbol{q}}=-\dfrac{\partial}{\partial t}\mathsfbi{M}\,\overline{\boldsymbol{q}}, (12)

where, by denoting 𝒟d/dy\mathcal{D}\equiv\mathrm{d}/\mathrm{d}y and k2=α2+β2k^{2}=\alpha^{2}+\beta^{2}, we have defined

\mathsfbiL=(OS0iβ𝒟Uiα𝒟WSQ),\mathsfbiM=(𝒟2k2001).\mathsfbi{L}=\begin{pmatrix}\mathcal{L}_{OS}&0\\ i\beta\mathcal{D}U-i\alpha\mathcal{D}W&\mathcal{L}_{SQ}\end{pmatrix},\qquad\mathsfbi{M}=\begin{pmatrix}\mathcal{D}^{2}-k^{2}&0\\ 0&1\end{pmatrix}. (13)

The Orr-Sommerfeld and Squire operators, OS\mathcal{L}_{OS} and SQ\mathcal{L}_{SQ} respectively, are given by

OS\displaystyle\mathcal{L}_{OS} =(iαU+iβW)(𝒟2k2)iα𝒟2Uiβ𝒟2W1Re(𝒟2k2)2,\displaystyle=\left(i\alpha U+i\beta W\right)\left(\mathcal{D}^{2}-k^{2}\right)-i\alpha\mathcal{D}^{2}U-i\beta\mathcal{D}^{2}W-\dfrac{1}{Re}\left(\mathcal{D}^{2}-k^{2}\right)^{2}, (14)
SQ\displaystyle\mathcal{L}_{SQ} =iαU+iβW1Re(𝒟2k2).\displaystyle=i\alpha U+i\beta W-\dfrac{1}{Re}\left(\mathcal{D}^{2}-k^{2}\right). (15)

Equation (12) forms an initial-value problem for the Fourier-Transformed state vector 𝒒¯\overline{\boldsymbol{q}} in wavenumber space, where the associated boundary conditions can be obtained by applying no-slip/impermeability at both walls. Whenever necessary, the velocity-vorticity formulation of the OSS problem can be recast into one for the primitive fluctuations using the transformation

(u¯v¯w¯)=1k2(iα𝒟iβk20iβ𝒟iα)(v¯η¯).\begin{pmatrix}\overline{u}\\ \overline{v}\\ \overline{w}\end{pmatrix}=\dfrac{1}{k^{2}}\begin{pmatrix}i\alpha\mathcal{D}&-i\beta\\ k^{2}&\phantom{-}0\\ i\beta\mathcal{D}&\phantom{-}i\alpha\end{pmatrix}\begin{pmatrix}\overline{v}\\ \overline{\eta}\end{pmatrix}. (16)

2.3 Modal Analysis

For a modal or eigenvalue analysis, an additional Fourier Transform is conducted in time

𝒒^(y;α,β,ω)=𝒒¯(y,t;α,β)eiωtdt\hat{\boldsymbol{q}}\left(y;\alpha,\beta,\omega\right)=\int_{-\infty}^{\infty}\overline{\boldsymbol{q}}\left(y,t;\alpha,\beta\right)e^{i\omega t}\,\mathrm{d}t (17)

where ω=ωr+iωi\omega=\omega_{r}+i\omega_{i}\in\mathbb{C} is the complex wave frequency. Equation (12) then reduces to a generalized eigenvalue problem described by the linear operator pencil (\mathsfbiL,\mathsfbiM)\left(\mathsfbi{L},\mathsfbi{M}\right)

\mathsfbiL𝒒^=iω\mathsfbiM𝒒^,\mathsfbi{L}\hat{\boldsymbol{q}}=i\omega\mathsfbi{M}\hat{\boldsymbol{q}}, (18)

with eigenvalues corresponding to iω=iωrωii\omega=i\omega_{r}-\omega_{i}. Note that this is equivalent to solving for the eigensystem of \mathsfbiS=\mathsfbiM1\mathsfbiL\mathsfbi{S}^{\prime}=\mathsfbi{M}^{-1}\mathsfbi{L}. In general, the spectrum is a function of {α,β,Re,ξ,θ}\left\{\alpha,\beta,Re,\xi,\theta\right\}, and exponential amplification occurs over time if ωi>0\omega_{i}>0. Consequently, we seek the manifold of marginal stability, designated by

ωi(α,β,Re,ξ,θ)=0.\omega_{i}\left(\alpha,\beta,Re,\xi,\theta\right)=0. (19)

We note that the presence of a non-zero spanwise velocity in OCPfs prevents an application of Squire’s Theorem in its usual form. Although a two-dimensional problem may well be constructed (see, for example, Mack (1984) and Schmid & Henningson (2001)), the “effective” base velocity depends on both spatial wavenumbers and there is no a priori indication of the appropriate search space. Therefore, for a given configuration (ξ,θ)\left(\xi,\theta\right), since a full stability portrait requires a sweep through the (α,β,Re)\left(\alpha,\beta,Re\right)-space, a numerical approach will inevitably be marred by a lack of resolution. While this is a valid criticism, we point out that most canonical shear flows only become linearly unstable at modest wavenumbers, if at all. Furthermore, in Section 3, we demonstrate that from the perspective of modal stability, oblique Couette-Poiseuille flows are essentially continuations of the aligned variant. Therefore, the results of a sufficiently broad numerical search, as conducted here, are likely global.

Before proceeding, we make some key observations. First, as is true for strictly streamwise base flows, the Squire modes remain damped. The proof proceeds in the usual way by converting to a formulation involving the xx-phase speed, c=ω/αc=\omega/\alpha, multiplying the homogeneous Squire equation by the complex conjugate of the fluctuating normal vorticity, and integrating over yy. Therefore, for a modal analysis, it suffices to consider only the Orr-Sommerfeld operator, Equation (14). Furthermore, since neither component of the base velocity is inflectional, OCPfs do not admit an inviscid crossflow-like instability as observed, for example, over swept wings or rotating disks. In particular, in the inviscid limit, Rayleigh’s criterion can be modified to require the following expression to hold at some wall-normal location

𝒟2U+γ𝒟2W=0,\mathcal{D}^{2}U+\gamma\mathcal{D}^{2}W=0, (20)

where γ=β/α\gamma=\beta/\alpha. Although Equation (20) will, for general flows, vary in wavenumber space, the linearity of WW implies that 𝒟2W=0\mathcal{D}^{2}W=0 for OCPfs. Thus, since 𝒟2U=2\mathcal{D}^{2}U=-2, the instability must be viscous in nature.

2.4 Non-Modal Analysis

For most shear flows, a spectral analysis of the linearized Jacobian as in Section 2.3 rarely agrees with experiment. Almost invariably, the transition to turbulence is observed at sub-critical ReRe, that is, below the threshold predicted by modal theory (Trefethen et al., 1993). This behavior is now well understood to be a consequence of the highly non-normal nature of the Orr-Sommerfeld-Squire (OSS) operator \mathsfbiS\mathsfbi{S}^{\prime}, which, in turn, arises from the off-diagonal term (iβ𝒟Uiα𝒟W)\left(i\beta\mathcal{D}U-i\alpha\mathcal{D}W\right) driving the Squire equation; see (10) and (13). In general oblique Couette-Poiseuille flows, this forcing can evidently comprise both the streamwise and spanwise mean shear.

A non-normal operator such as \mathsfbiS\mathsfbi{S}^{\prime} admits eigenfunctions that are non-orthogonal in the underlying Hilbert space. When arbitrary initial states are transformed into the basis of these eigenfunctions, they can suffer from large cross-terms in the induced norm (Schmid, 2007). An immediate consequence is that while a modal analysis might suggest asymptotic decay, energy amplification can still occur over finite time horizons. In shear flows, the transition to turbulent regimes has often been attributed to these transient phenomena, providing a potential explanation for the so-called bypass transition (Butler & Farrell, 1992). Furthermore, there is no guarantee that the long-time eigenmode is even realized, in spite of the most careful calibration, since sufficiently strong transient amplification will likely excite non-linear mechanisms in the flow and violate the linear assumption (Waleffe, 1995; Trefethen, 1997).

To explore the implications of non-normality in OCPfs, we first solve the initial-value problem in Equation (12) exactly to yield

𝒒¯(t)=Φ(t,0)𝒒¯0,\overline{\boldsymbol{q}}\left(t\right)=\Phi\left(t,0\right)\overline{\boldsymbol{q}}_{0}, (21)

where Φ(t,0)ei\mathsfbiSt\Phi\left(t,0\right)\equiv e^{-i\mathsfbi{S}t} is the state-transition operator, \mathsfbiS=i\mathsfbiS\mathsfbi{S}=i\mathsfbi{S}^{\prime}, and 𝒒¯0\overline{\boldsymbol{q}}_{0} is the state of the system at the initial time t=0t=0. Under appropriate norms in the input and output spaces, the gain can be defined as

G(α,β,Re,ξ,θ,t)=sup𝒒¯00𝒒¯out2𝒒¯0in2,G\left(\alpha,\beta,Re,\xi,\theta,t\right)=\sup_{\overline{\boldsymbol{q}}_{0}\neq 0}\dfrac{\left\lVert\overline{\boldsymbol{q}}\right\rVert_{\mathrm{out}}^{2}}{\left\lVert\overline{\boldsymbol{q}}_{0}\right\rVert_{\mathrm{in}}^{2}}, (22)

where, due to its physical significance, we let out=in=E\left\lVert\cdot\right\rVert_{\mathrm{out}}=\left\lVert\cdot\right\rVert_{\mathrm{in}}=\left\lVert\cdot\right\rVert_{E} be an energy norm

𝒒¯E2=11v¯v¯+1k2(η¯η¯+v¯yv¯y)dy𝒒¯\mathsfbiE𝒒¯\left\lVert\overline{\boldsymbol{q}}\right\rVert_{E}^{2}=\int_{-1}^{1}\overline{v}^{\dagger}\overline{v}+\dfrac{1}{k^{2}}\left(\overline{\eta}^{\dagger}\overline{\eta}+\dfrac{\partial\overline{v}^{\dagger}}{\partial y}\dfrac{\partial\overline{v}}{\partial y}\right)\,\mathrm{d}y\simeq\overline{\boldsymbol{q}}^{\dagger}\mathsfbi{E}\overline{\boldsymbol{q}} (23)

over the volume VV defined by the Cartesian product (x,y,z)[0,2\upi/α]×[1,1]×[0,2\upi/β]\left(x,y,z\right)\in\left[0,2\upi/\alpha\right]\times\left[-1,1\right]\times\left[0,2\upi/\beta\right]. In this way, the energy of one full wavelength of a disturbance can be captured; see Butler & Farrell (1992). Here, \left\langle\cdot\right\rangle^{\dagger} denotes a conjugate transpose operation, and the operator \mathsfbiE\mathsfbi{E} is positive-definite and incorporates the Clenshaw-Curtis quadrature weights (Trefethen, 2000). With a Cholesky decomposition, we may write \mathsfbiE=\mathsfbiF\mathsfbiF\mathsfbi{E}=\mathsfbi{F}^{\dagger}\mathsfbi{F} so that

𝒒¯E2𝒒¯\mathsfbiF\mathsfbiF𝒒¯=\mathsfbiF𝒒¯22.\left\lVert\overline{\boldsymbol{q}}\right\rVert_{E}^{2}\simeq\overline{\boldsymbol{q}}^{\dagger}\mathsfbi{F}^{\dagger}\mathsfbi{F}\overline{\boldsymbol{q}}=\left\lVert\mathsfbi{F}\,\overline{\boldsymbol{q}}\right\rVert_{2}^{2}. (24)

It immediately follows that

G=sup𝒒¯00\mathsfbiFΦ(t,0)𝒒¯022\mathsfbiF𝒒¯022=sup𝒒¯00\mathsfbiFΦ(t,0)\mathsfbiF1\mathsfbiF𝒒¯022\mathsfbiF𝒒¯022=\mathsfbiFΦ(t,0)\mathsfbiF122,G=\sup_{\overline{\boldsymbol{q}}_{0}\neq 0}\dfrac{\left\lVert\mathsfbi{F}\Phi\left(t,0\right)\overline{\boldsymbol{q}}_{0}\right\rVert_{2}^{2}}{\left\lVert\mathsfbi{F}\,\overline{\boldsymbol{q}}_{0}\right\rVert_{2}^{2}}=\sup_{\overline{\boldsymbol{q}}_{0}\neq 0}\dfrac{\left\lVert\mathsfbi{F}\Phi\left(t,0\right)\mathsfbi{F}^{-1}\mathsfbi{F}\,\overline{\boldsymbol{q}}_{0}\right\rVert_{2}^{2}}{\left\lVert\mathsfbi{F}\,\overline{\boldsymbol{q}}_{0}\right\rVert_{2}^{2}}=\left\lVert\mathsfbi{F}\Phi\left(t,0\right)\mathsfbi{F}^{-1}\right\rVert_{2}^{2}, (25)

which can be computed trivially via the singular value decomposition (note, in fact, that G=Φ(t,0)E2G=\left\lVert\Phi\left(t,0\right)\right\rVert_{E}^{2}). The associated right and left singular functions represent, respectively, the initial condition and response pair for which the gain at time tt is realized.

Intuitively, no energy growth is expected if G1G\leq 1. An equivalent condition can be expressed in terms of the resolvent of \mathsfbiS\mathsfbi{S}. Consider an exogenous harmonic forcing profile 𝑯(x,y,z,t)=𝒉(x,y,z)eiζt\boldsymbol{H}\left(x,y,z,t\right)=\boldsymbol{h}\left(x,y,z\right)e^{-i\zeta t} with frequency ζ\zeta\in\mathbb{C} to the linearized system, appropriately transformed into wavenumber space

𝒉¯(y;α,β)=𝒉(x,y,z)ei(αx+βz)dxdz\overline{\boldsymbol{h}}\left(y;\alpha,\beta\right)=\iint_{-\infty}^{\infty}\boldsymbol{h}\left(x,y,z\right)e^{-i\left(\alpha x+\beta z\right)}\,\mathrm{d}x\,\mathrm{d}z (26)

The response can easily be verified to be

𝒒¯=ieiζt(ζ\mathsfbiI\mathsfbiS)1𝒉¯,\overline{\boldsymbol{q}}=ie^{-i\zeta t}\left(\zeta\mathsfbi{I}-\mathsfbi{S}\right)^{-1}\overline{\boldsymbol{h}}, (27)

where the operator \mathsfbiR(ζ\mathsfbiI\mathsfbiS)1\mathsfbi{R}\equiv\left(\zeta\mathsfbi{I}-\mathsfbi{S}\right)^{-1} is known as the resolvent. From an input-output perspective, \mathsfbiR\mathsfbi{R} serves as a transfer function between the excitation and its response. The quantity =\mathsfbiRE\mathcal{R}=\left\lVert\mathsfbi{R}\right\rVert_{E} is, therefore, of particular interest here, since for a non-normal system, it can be large even if the forcing is pseudo-resonant, that is, ζΛ(\mathsfbiS)\zeta\notin\Lambda\left(\mathsfbi{S}\right), the spectrum of \mathsfbiS\mathsfbi{S} (Trefethen & Embree, 2005). Such a paradigm is especially informative for the receptivity of the flow to external disturbances (Brandt, 2014), and if ζ\zeta is restricted to real values, a physical interpretation of the resolvent is the perturbed operator that can result, for example, from external vibrations or planar imperfections (Trefethen et al., 1993). By further generalizing to the complex plane, one recovers the ϵ\epsilon-pseudospectra, the set of values defined as

Λϵ(\mathsfbiS)={ζ:ϵ1}.\Lambda_{\epsilon}\left(\mathsfbi{S}\right)=\left\{\zeta\in\mathbb{C}\colon\mathcal{R}\geq\epsilon^{-1}\right\}. (28)

For non-normal operators, Λϵ\Lambda_{\epsilon} can protrude deep into the upper-half of the complex plane, and the more pronounced this effect, the greater the potential for transient growth irrespective of the presence of linear instability. More rigorously, the Hille-Yosida Theorem states that G1G\leq 1 if and only if the ϵ\epsilon-pseudospectra lie sufficiently close to the lower half-plane (Reddy et al., 1993). For further details, we refer the reader to this paper, the citations within, and the text of Trefethen & Embree (2005).

2.5 Energy Budget Analysis

An investigation of the perturbation energy budget can reveal the mechanism of instability in OCPfs. Throughout this section, the Einstein convention is implied via repeated indices. We define the perturbation energy density \mathcal{E} as

=12𝒖𝒖=12uiui=12(|u|2+|v|2+|w|2).\mathcal{E}=\dfrac{1}{2}\boldsymbol{u}^{\dagger}\boldsymbol{u}=\dfrac{1}{2}u_{i}^{\dagger}u_{i}=\dfrac{1}{2}\left(\left|u\right|^{2}+\left|v\right|^{2}+\left|w\right|^{2}\right). (29)

By multiplying Equation (4) throughout by 𝒖\boldsymbol{u}^{\dagger} and integrating over VV, evolution equations for the total energy are recovered

ddtVdV=VddtdV=V12(uiuj+uiuj)UixjdV1ReVuixjuixjdV.\dfrac{\mathrm{d}}{\mathrm{d}t}\int_{V}\mathcal{E}\,\mathrm{d}V=\int_{V}\dfrac{\mathrm{d}\mathcal{E}}{\mathrm{d}t}\,\mathrm{d}V=-\int_{V}\dfrac{1}{2}\left(u_{i}^{\dagger}u_{j}+u_{i}u_{j}^{\dagger}\right)\dfrac{\partial U_{i}}{\partial x_{j}}\,\mathrm{d}V-\dfrac{1}{Re}\int_{V}\dfrac{\partial u_{i}^{\dagger}}{\partial x_{j}}\dfrac{\partial u_{i}}{\partial x_{j}}\,\mathrm{d}V. (30)

where we have assumed spatial periodicity of the disturbance field in xx and zz. Under the normal mode ansatz, Equation (17), the above expression reduces to

2ωi1112u^iu^idy=𝒫ε,2\omega_{i}\int_{-1}^{1}\dfrac{1}{2}\hat{u}_{i}^{\dagger}\hat{u}_{i}\,\mathrm{d}y=\mathcal{P}-\varepsilon, (31)

where we have defined

𝒫\displaystyle\mathcal{P} =1112(u^v^+u^v^)Uydy𝒫u1112(w^v^+w^v^)Wydy𝒫w,\displaystyle=\underbrace{-\int_{-1}^{1}\dfrac{1}{2}\left(\hat{u}^{\dagger}\hat{v}+\hat{u}\hat{v}^{\dagger}\right)\dfrac{\partial U}{\partial y}\,\mathrm{d}y}_{\mathcal{P}_{u}}\underbrace{-\int_{-1}^{1}\dfrac{1}{2}\left(\hat{w}^{\dagger}\hat{v}+\hat{w}\hat{v}^{\dagger}\right)\dfrac{\partial W}{\partial y}\,\mathrm{d}y}_{\mathcal{P}_{w}}, (32)
ε\displaystyle\varepsilon =1Re11(𝒟u^i)𝒟u^i+k2u^iu^idy.\displaystyle=\dfrac{1}{Re}\int_{-1}^{1}\left(\mathcal{D}\hat{u}_{i}\right)^{\dagger}\mathcal{D}\hat{u}_{i}+k^{2}\hat{u}_{i}^{\dagger}\hat{u}_{i}\,\mathrm{d}y. (33)

Two contributions to the disturbance kinetic energy can be identified, 𝒫\mathcal{P}, the production against the background shear(s), and ε\varepsilon, the viscous dissipation. The former can be further separated into terms representing the transfer of energy from the base streamwise and spanwise flows, respectively, to the perturbation field through the action of the associated Reynolds stresses, τu\tau_{u} and τw\tau_{w}. These have been denoted by 𝒫u\mathcal{P}_{u} and 𝒫w\mathcal{P}_{w}. In general, (positive) production destabilizes, whereas dissipation stabilizes the disturbance field.

3 Modal Analysis

3.1 Characteristics of the Eigenspectra

We begin by investigating the dynamics of the eigenspectra in OCPfs. For a sample wavenumber combination, Figure 3 illustrates the loci of the first 50\approx 50 least stable modes as the non-dimensional wall speed ξ\xi is varied at θ=\upi/6\theta=\upi/6. The results have been presented in terms of c=ω/αc=\omega/\alpha. A familiar YY-shaped distribution can be observed, with three distinct branches reminiscent of the spectrum for plane-Poiseuille flow (pPf). As the wall speed increases, this structure collectively translates further into the right half-plane, and the most unstable mode monotonically stabilizes. In doing so, the shape of the SS-branch, comprising the so-called mean modes related to the mean velocity, remains relatively undistorted. On the other hand, a sharper change occurs in the AA-branch – the wall modes – which separate into two distinct subsets associated, respectively, with each wall. In a somewhat similar manner, starting from its bottom half, the PP-branch of center modes also begins to split into two noticeable sub-branches. Together, these observations are indicative of the increased Couette contribution to the base flow, since the spectra for various flavors of Couette flow are usually scattered symmetrically within two AA-branches, e.g. Duck et al. (1994); Schmid & Henningson (2001); Liu & Liu (2012); Zou et al. (2023).

Refer to caption
Figure 3: The locus of the eigenspectrum for (α,β)=(1,0.5)\left(\alpha,\beta\right)=\left(1,0.5\right) at Re=5700Re=5700 and θ=\upi/6\theta=\upi/6 for ξ{0,0.2,0.4,0.6,0.8,1}\xi\in\left\{0,0.2,0.4,0.6,0.8,1\right\}. The AA, PP, and SS branches have been appropriately labeled. On each plot, a gray dashed line denotes the stability boundary, ci=0c_{i}=0.

In OCPfs, the distribution of this Couette component between the base velocities is directly controlled by the shear angle θ\theta. However, its impact at the level of the Orr-Sommerfeld (OS) equation is rather subtle. Since WW is linear, 𝒟2W=0\mathcal{D}^{2}W=0, and the OS operator, simplified from Equation (14), becomes

OS=(iαU+iβW)(𝒟2k2)𝒪1iα𝒟2U𝒪21Re(𝒟2k2)2𝒪3,\mathcal{L}_{OS}=\overbrace{\left(i\alpha U+i\beta W\right)\left(\mathcal{D}^{2}-k^{2}\right)}^{\mathcal{O}_{1}}-\overbrace{i\alpha\mathcal{D}^{2}U}^{\mathcal{O}_{2}}-\overbrace{\dfrac{1}{Re}\left(\mathcal{D}^{2}-k^{2}\right)^{2}}^{\mathcal{O}_{3}}, (34)

where UU and WW retain their definitions from Equation (6), instantiated with some wall speed ξ\xi. We immediately observe, despite the three-dimensionality of the flow, that the spanwise velocity appears only in a single term, 𝒪1\mathcal{O}_{1}, in Equation (34). In particular, for a spanwise-independent mode, β=0\beta=0, the effects of obliqueness in the base flow are, in a sense, “shut off”, since the corresponding OS operator

OS=iαU(𝒟2α2)iα𝒟2U1Re(𝒟2α2)2\mathcal{L}_{OS}=i\alpha U\left(\mathcal{D}^{2}-\alpha^{2}\right)-i\alpha\mathcal{D}^{2}U-\dfrac{1}{Re}\left(\mathcal{D}^{2}-\alpha^{2}\right)^{2} (35)

reduces precisely to that for ACPf under the umbrella of Squire’s Theorem (excluding, of course, the factor of cosθ\cos\theta in UU, which can essentially be lumped into the wall speed). To extend this analogy to more general disturbances, a modification must first be made. Consider the generic three-dimensional (that is, prior to an application of Squire’s result) OS operator for ACPf

OSACPf=iαUACPf(𝒟2k2)𝒜1iα𝒟2UACPf𝒜21Re(𝒟2k2)2𝒜3,\mathcal{L}_{OS}^{\mathrm{ACPf}}=\overbrace{i\alpha U_{\mathrm{ACPf}}\left(\mathcal{D}^{2}-k^{2}\right)}^{\mathcal{A}_{1}}-\overbrace{i\alpha\mathcal{D}^{2}U_{\mathrm{ACPf}}}^{\mathcal{A}_{2}}-\overbrace{\dfrac{1}{Re}\left(\mathcal{D}^{2}-k^{2}\right)^{2}}^{\mathcal{A}_{3}}, (36)

where

UACPf=1y2+ξACPf2(1+y).U_{\mathrm{ACPf}}=1-y^{2}+\dfrac{\xi_{\mathrm{ACPf}}}{2}\left(1+y\right). (37)

Comparing the two operators in (34) and (36) allows us to identify crucial similarities in structure. Specifically, for a constant wave triplet (α,β,Re)\left(\alpha,\beta,Re\right), while 𝒪3𝒜3\mathcal{O}_{3}\equiv\mathcal{A}_{3} is immediate, 𝒪2𝒜2\mathcal{O}_{2}\equiv\mathcal{A}_{2} follows from the fact that 𝒟2U=2=𝒟2UACPf\mathcal{D}^{2}U=-2=\mathcal{D}^{2}U_{\mathrm{ACPf}}. Therefore, OS\mathcal{L}_{OS} and OSACPf\mathcal{L}_{OS}^{\mathrm{ACPf}} differ exclusively in their terms 𝒪1\mathcal{O}_{1} and 𝒜1\mathcal{A}_{1}, respectively. However, since k2k^{2} has also been fixed by our choice of wavenumbers, 𝒪1𝒜1\mathcal{O}_{1}\equiv\mathcal{A}_{1} can be made possible by requiring

iαUACPf=iαU+iβWξACPf=ξ(cosθ+γsinθ),i\alpha U_{\mathrm{ACPf}}=i\alpha U+i\beta W\implies\xi_{\mathrm{ACPf}}=\xi\left(\cos\theta+\gamma\sin\theta\right), (38)
Refer to caption
Figure 4: At Re=10000Re=10000 and ξ=0.2\xi=0.2, the variation with ξeff\xi_{\mathrm{eff}} of the least stable eigenmode for (α,β)=(1,0.25)\left(\alpha,\beta\right)=\left(1,0.25\right). The only dashed gray line marks the boundary ci=0c_{i}=0. Both components change in tandem with ξeff\xi_{\mathrm{eff}}, and when juxtaposed with the information in Figure 3, lend weight to ξeff\xi_{\mathrm{eff}} serving as an effective wall speed. Note that cic_{i} is, in fact, \upi\upi-periodic, the underlying mechanism being precisely that which allows for symmetric growth rates around ξ=0\xi=0 for ACPf; see Section 3.2.

where γ=β/α\gamma=\beta/\alpha. Therefore, for an arbitrary OCPf, the Orr-Sommerfeld problem at any wavenumber pair can be exactly mapped to one for ACPf via the “effective” wall speed ξeff\xi_{\mathrm{eff}}

ξeffξ(cosθ+γsinθ).\xi_{\mathrm{eff}}\equiv\xi\left(\cos\theta+\gamma\sin\theta\right). (39)

With the corollary

ω(α,β,Re,ξ,θ0)=ω(α,β,Re,ξeff,θ=0),\omega\left(\alpha,\beta,Re,\xi,\theta\neq 0\right)=\omega\left(\alpha,\beta,Re,\xi_{\mathrm{eff}},\theta=0\right), (40)

we conclude that the stability of any oblique Couette-Poiseuille flow can be prescribed entirely by comparison with the appropriate ACPf configuration(s). A stronger result, and one perhaps in the same spirit as Squire’s Theorem, is as follows: if 𝔒\mathfrak{O} denotes the set of all possible OS operators for OCPf and 𝔄\mathfrak{A} the equivalent set for ACPf, then 𝔒𝔄\mathfrak{O}\subseteq\mathfrak{A}.

The influence of the shear angle on modal behavior can now be made precise. We start by noting that ξeff\xi_{\mathrm{eff}} is 2\upi2\upi-periodic and

ξk/αξeffξk/α-\xi k/\alpha\leq\xi_{\mathrm{eff}}\leq\xi k/\alpha (41)

so that it varies strongly even throughout wavenumber space. Mathematically, at a fixed triplet (α,β,Re)\left(\alpha,\beta,Re\right), its action in θ\theta seems to be to accentuate or mask the strength of the wall speed. As an example, Figure 4 shows how changes in ξeff\xi_{\mathrm{eff}} with θ\theta affect the real and imaginary components of the most unstable eigenvalue for an arbitrarily chosen wavenumber pair. It is evident that the periodicity of ξeff\xi_{\mathrm{eff}} directly translates to that of the spectrum, which itself becomes, at a minimum, 2\upi2\upi-periodic. Furthermore, we found (not shown here; refer to Figure 3) that variations in ξeff\xi_{\mathrm{eff}} modified the distribution of the eigenmodes in the complex plane much in the same fashion as variations in ξ\xi for fixed θ\theta, e.g., increasing ξeff\xi_{\mathrm{eff}} increased crc_{r}, and vice versa. When taken together, these observations, combined with Equation (40) and the interpretation of ξeff\xi_{\mathrm{eff}}, suggest that the manifold of marginal stability for OCPfs is contained wholly within that for ACPf. Accounting for a non-trivial directionality in the flow affects perhaps only the subset of the latter that is ultimately accessed.

3.2 Exploring Criticality in oblique Couette-Poiseuille flows

In this section, we present the findings of a comprehensive investigation into the modal stability of oblique Couette-Poiseuille flows. We introduce the critical Reynolds number, denoted RecRe_{c}, which represents the minimum Reynolds number below which the flow remains linearly stable. Beyond this value, at least one disturbance, characterized by the critical wavenumbers (αc,βc)\left(\alpha_{c},\beta_{c}\right), becomes unstable. When analyzing two-dimensional flows, Squire’s Theorem (Squire, 1933) allows us to focus solely on disturbances that are independent of the spanwise direction, that is, βc=0\beta_{c}=0. However, for general three-dimensional profiles, an accurate assessment of stability necessitates the consideration of modes with non-zero β\beta. Consequently, in the case of an oblique Couette-Poiseuille flow (ξ,θ)\left(\xi,\theta\right), a thorough exploration of the entire three-dimensional (α,β,Re)\left(\alpha,\beta,Re\right)-space is required.

To reduce the degree of computation, we now consider some important simplifications. First, we note that in the stability literature for ACPf, the analysis for ξ<0\xi<0 is typically neglected, since the modal growth rates are symmetric around ξ=0\xi=0 (although the corresponding real parts might not be). Potter (1966) rationalized this by adopting the coordinate transformation yyy\to-y. Since ξeff(θ+\upi)=ξeff(θ)\xi_{\mathrm{eff}}\left(\theta+\upi\right)=-\xi_{\mathrm{eff}}\left(\theta\right), a similar argument allows us to restrict our attention to θ[0,\upi]\theta\in\left[0,\upi\right]. However, a second reduction is also possible and can be achieved by noting that, at a constant ξ\xi, if (αc,βc,Rec)\left(\alpha_{c},\beta_{c},Re_{c}\right) is the critical tuple for θ=θ\theta=\theta^{\prime}, then (αc,βc,Rec)\left(\alpha_{c},-\beta_{c},Re_{c}\right) is necessarily the critical tuple for θ=\upiθ\theta=\upi-\theta^{\prime}. This result is immediate from the definition of ξeff\xi_{\mathrm{eff}} in Equation (39), since

ξeff(α,β,ξ,θ)=ξeff(α,β,ξ,\upiθ),\xi_{\mathrm{eff}}\left(\alpha,\beta,\xi,\theta^{\prime}\right)=-\xi_{\mathrm{eff}}\left(\alpha,-\beta,\xi,\upi-\theta^{\prime}\right), (42)

where we have assumed α>0\alpha>0. Thus, it suffices to explore the range θ[0,\upi/2]\theta\in\left[0,\upi/2\right]. For the Fourier wavenumbers, we focused on small to intermediate values, in particular, (α,β)[3,3]×[3,3]\left(\alpha,\beta\right)\in\left[-3,3\right]\times\left[-3,3\right]. This is generally the subspace of the wavenumber plane within which linear instability is first encountered in most canonical shear flows, and particularly for ACPfs (Potter, 1966). In total, O(1010)O\left(10^{10}\right) gridpoints were investigated, and our numerical procedure, including our method for traversing such an unwieldy parameter space, is outlined in Appendix A. In what follows, all results are presented for values of θ\theta in degrees rather than in radians.

Refer to caption
Figure 5: The critical Reynolds number RecRe_{c} against ξ\xi for Θ1(0,20]\Theta_{1}\equiv\left(0,20^{\circ}\right]. Throughout this figure, the dashed line indicates the equivalent plot for ACPf. The insets magnify regions of particular interest that have been discussed in the text. A circle in inset (b)(b) denotes the crossing point \mathcal{I}. In this range of shear angles, a typical RecRe_{c}-curve mimics that for ACPf when ξξA\xi\lessapprox\xi_{A}, but appears to have been “dragged” down from infinity when ξ>ξA\xi>\xi_{A}, yielding a finite RecRe_{c} even beyond this threshold wall speed.

In general, the introduction of skewness in Couette-Poiseuille flows was found to be destabilizing, at least relative to ACPf. However, two qualitative regimes could still be identified in θ\theta. The first, denoted Θ1\Theta_{1}, comprises 0<θ200^{\circ}<\theta\lessapprox 20^{\circ} and is arguably the most interesting of the two, as it exhibits drastic changes in stability throughout its extent. Since oblique Couette-Poiseuille flows reduce to the standard aligned case as θ0\theta\to 0, it is natural to expect the stability characteristics of ACPf to continue at least to modest θ\theta. Figure 5 supports this intuition. For all θΘ1\theta\in\Theta_{1}, a short range of stabilization is followed by an inflection point in the RecRe_{c}-curves between 0.2ξ0.40.2\lessapprox\xi\lessapprox 0.4 and then further growth, a trend that is precisely reminiscent of ACPf (Potter, 1966).

Perhaps the most striking feature is the fact that linear instability seems to persist throughout the entire range of wall speeds considered here. This behavior was observed even for “small” angles, such as θ{1,1.5}\theta\in\left\{1^{\circ},1.5^{\circ}\right\} (and even down to θ{0.5,0.75}\theta\in\left\{0.5^{\circ},0.75^{\circ}\right\}, not shown here), where the wall motion is approximately parallel to the pressure gradient. This is in stark contrast to ACPf, which achieves unconditional linear stability, RecRe_{c}\to\infty, against infinitesimal disturbances beyond the so-called cutoff wall speed ξA0.7\xi_{A}\approx 0.7 (Potter, 1966; Cowley & Smith, 1985). A crude explanation for this is that the inclusion of a spanwise velocity makes β\beta a relevant stability parameter, providing, in light of the effective wall speed ξeff\xi_{\mathrm{eff}} and the analysis outlined at the end of Section 3.1, an additional buffer for an OCPf to return to a region of parameter space that is linearly unstable for ACPfs. In fact, in Section 3.4, we argue, using a modified version of the long-wavelength approximation of Cowley & Smith (1985), that all OCPfs for which θ0\theta\neq 0 are always linearly unstable: there is no cutoff wall speed for OCPfs. The absence of such a threshold for OCPfs seems to manifest itself in terms of the appearance of a limiting regime in the critical parameters. Here, the existence of linear instability seems to become entirely independent of ξ\xi, as evidenced, in part, by the flattening of the RecRe_{c}-curves in Figure 5.

We note that before achieving the respective asymptotes in their RecRe_{c}-curves, the destabilization experienced by OCPfs in Θ1\Theta_{1} at any wall speed is not necessarily monotonic with θ\theta. Beginning with inset (a)(a) in Figure 5, we see that increasing the shear angle is conclusively destabilizing up to ξ0.2\xi\approx 0.2. However, between approximately 0.2<ξ0.2750.2<\xi\lessapprox 0.275, some of the more modest angles, say θ10\theta\gtrapprox 10^{\circ}, tend to stabilize, while the values of RecRe_{c} for even larger angles, θ18.5\theta\gtrapprox 18.5^{\circ}, remain below those of ACPf; see Figure 5 (b)(b). Around ξ0.3\xi\approx 0.3 lies the crossing point \mathcal{I}, which initiates a region of monotonic stabilization for θ10\theta\gtrapprox 10^{\circ}, a pattern that persists until around ξ0.375\xi\approx 0.375. Here, as seen in Figure 5 (c)(c), all RecRe_{c}-curves experience a turning point, which occurs at increasing wall speeds with θ\theta, and begin to ascend toward their eventual plateaus. Beyond this location, the stabilization becomes monotonic throughout θ>0\theta>0, as can be verified in Figure 5 (d)(d).

Refer to caption
Figure 6: Curves of the critical wavenumbers, αc\alpha_{c} and βc\beta_{c}, versus ξ\xi for Θ1(0,20]\Theta_{1}\equiv\left(0,20^{\circ}\right]. As usual, a dashed line represents the equivalent plots for ACPf (note that for the latter, Squire’s Theorem implies βc=0\beta_{c}=0 for all linearly unstable wall speeds). Asymptotic behavior similar to the curves for RecRe_{c} is observed for all θ\theta. Furthermore, at wall speeds beyond the cutoff value ξA\xi_{A} for ACPf, the αc\alpha_{c}-curves appear to once again have been pulled away from αc=0\alpha_{c}=0 as θ\theta increases.

Figure 6 presents the spatial wavenumbers at criticality for θΘ1\theta\in\Theta_{1}. Consistent with the trends observed for ACPf, the critical streamwise wavenumber αc\alpha_{c} generally displays an initial monotonic decline toward αc=0\alpha_{c}=0, the latter limit corresponding to the complete loss of linear instability in ACPf beyond ξ=ξA\xi=\xi_{A}. However, even for the smallest shear angles treated here, we see that the critical streamwise wavenumber for OCPfs is only close to, but never exactly, zero. Furthermore, in conjunction with the critical Reynolds number, the αc\alpha_{c}-curves also level out at sufficiently high wall speeds, reinforcing the presence of a limiting regime in modal stability. Meanwhile, the critical spanwise wavenumber βc\beta_{c} is generally non-zero, a reminder of the three-dimensional nature of the base flow and the consequent inapplicability of Squire’s Theorem. An especially interesting behavior is observed in Figure 6 (b)(b) for a short range around ξ0.3\xi\approx 0.3, where βc0\beta_{c}\approx 0. Here, as shown in Figure 5, the RecRe_{c}-curves for OCPfs in Θ1\Theta_{1} also experience an inflection point. The latter is a key stability feature in ACPf, and, in this range, Potter (1966) had noted that ξcr,c\xi\approx c_{r,c}, the real part of the xx-phase speed at criticality, hinting at some sort of link between this equality and the accompanying destabilization. We were able to verify this relation for Θ1\Theta_{1} as well, suggesting that its secondary effect here is a preference for spanwise-independent modes (note that this is implicit for ACPf). Finally, just before this inflectional region, for θ=20\theta=20^{\circ}, we can resolve a rather dramatic trough in the αc\alpha_{c}-curve, which seems to temporarily terminate at the corresponding asymptotic (ξ\xi-independent value) before recovering to its original trajectory. We interpret this as the first indication of an imminent departure from the modal characteristics of ACPf, which naturally leads to a discussion of Θ2\Theta_{2}, the second stability regime defined by 20<θ9020^{\circ}<\theta\leq 90^{\circ}.

Refer to caption
Figure 7: The critical Reynolds numbers and Fourier wavenumbers plotted against ξ\xi for some choices of θΘ2(20,90]\theta\in\Theta_{2}\equiv\left(20^{\circ},90^{\circ}\right]. The black arrow depicts the direction of increasing θ\theta in increments of 1010^{\circ} from θ=30\theta=30^{\circ} to θ=90\theta=90^{\circ} (perfect orthogonality). At the latter angle, the critical triplet is constant in ξ\xi and equal to that obtained from an analysis of the two-dimensional Orr-Sommerfeld equation for Poiseuille flow.

In particular, Figure 7 highlights for Θ2\Theta_{2} a noticeable shift in the stability characteristics of OCPfs. The RecRe_{c}-curves lose their inflectional nature as in Θ1\Theta_{1}, and while increasing the shear angle still induces destabilization, the decrease in RecRe_{c} at any ξ\xi is uniform in θ\theta. Furthermore, all critical parameters reach their asymptotic values at smaller wall speeds, doing so by following relatively smoother trajectories (compare, for example, with the βc\beta_{c}-curves in Figure 6). From the perspective of the critical Reynolds number, the most unstable OCPf configurations occur as θ90Θ2\theta\to 90^{\circ}\in\Theta_{2}, when the wall motion is perfectly orthogonal to the direction of the pressure gradient. In this limit, the streamwise and spanwise velocities reduce to

U=1y2,W=ξ2(1+y),U=1-y^{2},\qquad W=\dfrac{\xi}{2}\left(1+y\right), (43)

which are, respectively, pPf and Couette profiles. At this angle, we found that the critical parameters remained invariant for all the wall speeds studied here, approaching, in fact, the equivalent tuple for pPf. Specifically, we had

(αc,βc,Rec)θ=90=(1.02,0,5773.22),\left(\alpha_{c},\beta_{c},Re_{c}\right)_{\theta=90^{\circ}}=\left(1.02,0,5773.22\right), (44)

effectively indicating, for this θ\theta, a superposition of the stability of the individual velocity components (note that the Couette flow is always linearly stable, see Romanov (1973)). To rationalize this, we recall that the influence of the spanwise crossflow on the OS operator is partially modulated by the wavenumbers, particularly through the effective wall speed ξeff\xi_{\mathrm{eff}}. Since the corresponding eigenvalue problem can always be mapped to an equivalent one for ACPf, one would wish to somehow negate the Couette contribution, which is known to be stabilizing, in order to “maximize” instability. This is achieved most optimally in disturbances with β=0\beta=0, immediately reducing the OS operator to that for pPf under Squire’s Theorem and yielding the critical tuple in Equation (44).

For full contour plots of the critical parameters in the (ξ,θ)\left(\xi,\theta\right)-plane as well as a discussion of the critical phase speeds and growth rates, we refer the reader to Appendix B.

3.3 The Limiting Regime of Modal Stability

In the previous section, it was observed that when the wall speed is sufficiently high, the stability of oblique Couette-Poiseuille flows becomes independent of ξ\xi. The values of ξf\xi_{f}, which represents the approximate wall speed that initiates this limiting regime, are shown in Figure 8. It can be seen that ξf\xi_{f} generally decreases with θ\theta, following a roughly linear relationship within the range Θ2\Theta_{2}, where OCPfs demonstrate the strongest deviations from the stability characteristics of ACPf. In this section, by adopting a simple juxtaposition with known results on the linear stability of pPf and ACPf, we aim to derive analytical formulae for the asymptotic values of the critical parameters. A small part of the following argument was briefly mentioned earlier when discussing criticality for θ=90\theta=90^{\circ}, but will now be elaborated upon.

Refer to caption
Figure 8: The variation with θ\theta of ξf\xi_{f}, the wall speed at which the critical parameters asymptote. A dashed line indicates the linear law ξfθ\xi_{f}\sim\theta, which holds well in Θ2\Theta_{2}.

For purely streamwise velocity profiles, a classic argument due to Squire (Squire, 1933) is that transversal (β=0\beta=0) modes must become unstable at a lower ReRe than both longitudinal (α=0\alpha=0) and oblique (α,β0\alpha,\beta\neq 0) modes. The proof proceeds by defining a two-dimensional (β=0\beta=0) Orr-Sommerfeld problem and arguing that, at criticality, the corresponding Reynolds number Rec,2DRe_{c,2D} cannot be larger than that of the three-dimensional (β0\beta\neq 0) case Rec,3DRe_{c,3D}. Now, consider ACPf, θ=0\theta=0, and recall that in the limit ξ0\xi\to 0, pPf can be recovered. In particular, an application of Squire’s Theorem to both these flows yields

Rec,3DpPf>Rec,2DpPf,Rec,3DACPf>Rec,2DACPf.Re_{c,3D}^{\mathrm{pPf}}>Re_{c,2D}^{\mathrm{pPf}},\qquad Re_{c,3D}^{\mathrm{ACPf}}>Re_{c,2D}^{\mathrm{ACPf}}. (45)

However, from the work of Potter (1966), we know that Rec,2DACPfRec,2DpPfRe_{c,2D}^{\mathrm{ACPf}}\geq Re_{c,2D}^{\mathrm{pPf}}, which immediately allows us to conclude that

Rec,3DACPf>Rec,2DpPfRe_{c,3D}^{\mathrm{ACPf}}>Re_{c,2D}^{\mathrm{pPf}} (46)

as well. For oblique Couette-Poiseuille flows, due to the mean three-dimensionality, Squire’s Theorem is no longer valid. However, Equation (40) implies that there exists a one-to-one mapping of the OS eigenproblem for an arbitrary OCPf, initialized with any combination of the wavenumbers, to an equivalent (in general) three-dimensional one for ACPf. Therefore, we have that

Rec(θ0,ξ0;α,β)=Rec(θ=0,ξ=ξeff;α,β)Rec,2DpPf.Re_{c}\left(\theta\neq 0,\xi\neq 0;\alpha,\beta\right)=Re_{c}\left(\theta=0,\xi=\xi_{\mathrm{eff}};\alpha,\beta\right)\geq Re_{c,2D}^{\mathrm{pPf}}. (47)

Here, the merits of the effective wall speed ξeff\xi_{\mathrm{eff}} are once again apparent, as it can be made as large or as small as possible due to its dependence on θ\theta and, more importantly, on the wavenumbers themselves. Therefore, to optimize the instability for an OCPf, which is equivalent to “\geq” in Equation (47) approaching equality, the OS operator should degenerate precisely into the two-dimensional analog for pPf. This can happen if and only if

ξeff=ξ(cosθ+γsinθ)=0,α2+β2=αc,pPf2αRe=αc,pPfRec,pPf\xi_{\mathrm{eff}}=\xi\left(\cos\theta+\gamma\sin\theta\right)=0,\qquad\alpha^{2}+\beta^{2}=\alpha_{c,\mathrm{pPf}}^{2}\qquad\alpha Re=\alpha_{c,\mathrm{pPf}}Re_{c,\mathrm{pPf}} (48)
Refer to caption
Figure 9: The asymptotic values of (a(ab)b), the critical streamwise and spanwise wavenumbers and (c)(c), the critical Reynolds number versus θ\theta. The solid line denotes the theoretical estimate provided in Equation (50).

where γ=β/α\gamma=\beta/\alpha and (αc,pPf,Rec,pPf)(1.02,5773.22)\left(\alpha_{c,\mathrm{pPf}},Re_{c,\mathrm{pPf}}\right)\approx\left(1.02,5773.22\right); see Orszag (1971). Assuming ξ0\xi\neq 0, the first of these three equations yields

γ=cotθ\gamma=-\cot\theta (49)

a result that can be combined with the remaining constraints in Equation (48) to obtain the following closed solutions

α=αc,pPf|sinθ|,β=αc,pPfsgn(sinθ)cosθRe=Rec,pPf|cscθ|\alpha=\alpha_{c,\mathrm{pPf}}\left|\sin\theta\right|,\qquad\beta=-\alpha_{c,\mathrm{pPf}}\,\mathrm{sgn}\left(\sin\theta\right)\cos\theta\qquad Re=Re_{c,\mathrm{pPf}}\left|\csc\theta\right| (50)

where sgn\mathrm{sgn} represents the signum function and we have selected the positive solution for α\alpha. Figure 9 presents the asymptotic values of the critical parameters, denoted by the subscript f\left\langle\cdot\right\rangle_{f}, obtained from our numerical results overlaid with the analytical solution in Equation (50). An almost exact match is observed up to the resolution error of the domain sweep. Some crucial remarks can now be made. As the shear angle approaches zero, Equation (50) claims that the asymptotic streamwise wavenumber vanishes, while the asymptotic spanwise wavenumber experiences a discontinuity. Although this may seem erroneous at first glance, we note that the critical parameters in ACPf continuously vary with wall speed, showing no limiting behavior, so Equation (50) has no meaning in this limit anyway. On the other hand, Figure 6 (a)(a) seems to suggest that a flattening of the critical parameters for ACPf, if it occurs, should do so for α0\alpha\to 0. Meanwhile, we note that for θ\upi/2\theta\to\upi/2, an asymptotic spanwise wavenumber βf=0\beta_{f}=0 is predicted, which validates our findings in Section 3.2.

In Figure 10, we present γc\gamma_{c}, the ratio γ\gamma at criticality for various symmetrically chosen shear angles around θ=\upi/2\theta=\upi/2, which should be interpreted in light of Equation (49). We first see that γc0\gamma_{c}\to 0 as ξ0\xi\to 0; this is expected, of course, since pPf is recovered in this limit, for which the most unstable disturbance has a vanishing spanwise wavenumber. Furthermore, we observe that γc(\upiθ)=γc(θ)\gamma_{c}\left(\upi-\theta\right)=-\gamma_{c}\left(\theta\right), which supports the initial restriction of the state space described at the beginning of Section 3.2. Finally, for ξξf\xi\geq\xi_{f}, the γc\gamma_{c}-curves in Figure 10 plateau precisely at γc=cotθ\gamma_{c}=-\cot\theta, as predicted by Equation (49). An interesting consequence arises when considering the wavenumber vector 𝒌=(αβ)\boldsymbol{k}=\begin{pmatrix}\alpha&\beta\end{pmatrix}^{\intercal}. In wave theory, the wavenumber vector encodes the direction of wave motion, and a wave with wavenumber vector 𝒌\boldsymbol{k} propagates at an angle ψ\psi to the positive streamwise direction, where tanψ=β/α=γ\tan\psi=\beta/\alpha=\gamma. From Equation (49), we can then conclude that the asymptotic eigenmode propagates at an angle ψ=θ\upi/2\psi=\theta-\upi/2 to the pressure gradient, that is, exactly perpendicular to the wall motion.

Refer to caption
Figure 10: The ratio γ=β/α\gamma=\beta/\alpha at criticality versus the wall speed for various pairs of supplementary angles (θ,180θ)\left(\theta,180^{\circ}-\theta\right). In each case, a dashed line indicates the asymptotic value, γc=cotθ\gamma_{c}=-\cot\theta, Equation (49). Notice that for ξξf\xi\leq\xi_{f}, γc\gamma_{c} has no discernible order although for the full range of wall speeds, γc(\upiθ)\gamma_{c}\left(\upi-\theta\right) is a reflection of γc(θ)\gamma_{c}\left(\theta\right) around the line γc=0\gamma_{c}=0.

.

3.4 Modified Long-Wavelength Analysis

A notable feature in the stability analysis of aligned Couette-Poiseuille flow is the unconditional stabilization achieved beyond ξ=ξA\xi=\xi_{A}, the so-called cutoff velocity. Potter (1966) estimated this wall speed to be ξA0.7\xi_{A}\approx 0.7, which was later validated by Cowley & Smith (1985) through a weakly nonlinear analysis using the scaling αRe1\alpha\sim Re^{-1} of the lower and upper branches of the neutral curves in the high-ReRe limit. The authors employed a long-wavelength distinguished limit to the Orr-Sommerfeld equations, allowing (α,Re)(0,)\left(\alpha,Re\right)\to\left(0,\infty\right) and fixing the product λ1=αRe\lambda^{-1}=\alpha Re. Numerically, a parameter sweep can then be performed in the (ξ,λ)\left(\xi,\lambda\right)-plane to determine the maximum ξ\xi for which the asymptotic Orr-Sommerfeld operator displays neutral stability; this is the cutoff value.

In Section 3.2, we saw that, unlike ACPf, OCPfs remained linearly unstable beyond ξ=ξA\xi=\xi_{A}, even for small but non-zero θ\theta, instead accessing a ξ\xi-independent asymptotic regime described by the convergence of the critical parameters. This suggests the absence of an equivalent cutoff threshold when θ0\theta\neq 0. To verify this claim, we augment the long-wavelength approach of Cowley & Smith (1985) to account for the three-dimensionality of OCPfs. Our modification is simple and involves treating the additional factor of γβ/α\gamma\equiv\beta/\alpha in ξeff\xi_{\mathrm{eff}} through an appropriate limit for the spanwise wavenumber. In particular, we propose β0\beta\to 0 and allow γ\gamma to remain finite, supporting this choice as follows.

First, to achieve complete linear stability in aligned Couette-Poiseuille flow, a vanishing spanwise wavenumber is implicit from Squire’s Theorem. To establish this, note that for a purely streamwise base flow, Squire’s argument proceeds by reducing the three-dimensional Orr-Sommerfeld operator to a two-dimensional one (for which β=0\beta=0) by considering, among others, the following relation between the wavenumbers of the two eigenproblems

α2D2=α3D2+β3D2\alpha_{2D}^{2}=\alpha_{3D}^{2}+\beta_{3D}^{2} (51)

For a temporal stability problem as in this study, the wavenumbers are always assumed to be strictly real. Therefore, if α2D0\alpha_{2D}\to 0 at the cutoff wall speed, the positive semi-definiteness of the right-hand side of Equation (51) implies that each of α3D\alpha_{3D} and β3D\beta_{3D} must vanish identically. Despite this, we recall that Squire’s result has no immediate equivalent for mean three-dimensional base flows. However, our stability results and those of other canonical shear flows that are known to be unstable suggest that marginal stability, if it exists, usually does so only for small to intermediate – or even vanishing – values of γ\gamma.

Refer to caption
Figure 11: Long-wavelength instability in oblique Couette-Poiseuille flows; (a)(a), the neutral curve in the (λ,ξ)\left(\lambda,\xi\right)-plane for ACPf calculated from the asymptotic Orr-Sommerfeld problem with γ=0\gamma=0 – the cutoff pair is denoted by a yellow circle and the vertical dashed line indicates the associated wall speed ξA\xi_{A}; (b)(b), plots of ξ0\xi_{0} for various θ\theta centered around the wavenumber ratio of interest γ=cotθ\gamma=-\cot\theta, again denoted by a dashed line. Although our numerical search was inevitably restricted to an upper limit for ξ\xi, we noted that the results remained robust to even higher values.

For the modified version of the long-wavelength analysis, the Orr-Sommerfeld eigenvalue problem becomes

[iλ𝒟4+(U+γWc)𝒟2𝒟2Uγ𝒟2W]v^=0\left[i\lambda\mathcal{D}^{4}+\left(U+\gamma W-c\right)\mathcal{D}^{2}-\mathcal{D}^{2}U-\gamma\mathcal{D}^{2}W\right]\hat{v}=0 (52)

Note that as θ0\theta\to 0 or γ0\gamma\to 0, we recover the standard long-wavelength equations for ACPf as in Cowley & Smith (1985). For OCPfs, the state-space of the asymptotic problem is {ξ,θ,λ,γ}\left\{\xi,\theta,\lambda,\gamma\right\}, and we focus particularly on the quantity ξ0\xi_{0}, defined as follows

ξ0(θ,γ)={maxξci(λ,ξ,θ=θ,γ=γ)=0}\xi_{0}\left(\theta^{\prime},\gamma^{\prime}\right)=\left\{\max\xi\mid c_{i}\left(\lambda,\xi,\theta=\theta^{\prime},\gamma=\gamma^{\prime}\right)=0\right\} (53)

At a fixed θ\theta, ξ0\xi_{0} represents the largest wall speed capable of sustaining neutral stability for wavenumber ratios γ\gamma. Numerically, therefore, Equation (53) is equivalent to determining the cutoff wall speeds in two-dimensional γ\gamma-slices of the three-dimensional stability manifold embedded in (ξ,λ,γ)\left(\xi,\lambda,\gamma\right)-space. Figure 11 summarizes the results of this approach. A benchmark run was performed by constructing the long-wavelength neutral curve in the (λ,ξ;γ=0)\left(\lambda,\xi;\gamma=0\right)-plane for ACPf, as shown in Figure 11 (a)(a) – the cutoff wall speed was calculated as ξA0.70370\xi_{A}\approx 0.70370 and compares well with the ground truth. Figure 11 (b)(b), on the other hand, plots ξ0\xi_{0} for some representative values of θ\theta. We see that, irrespective of the direction of wall motion, there exist peaks in ξ0\xi_{0} that appear to extend to infinity. In fact, this divergence occurs precisely when γ=cotθ\gamma=-\cot\theta, that is, when γ\gamma obeys the relation provided in Equation (49). This result should, of course, not be surprising given the nature of the asymptotic regime. As discussed in Section 3.2, OCPfs experience a modal instability throughout ξ[0,1]\xi\in\left[0,1\right], whose dependence on wall speed ultimately drops completely when ξξf\xi\geq\xi_{f}. Since the existence of a cutoff velocity in ACPf is necessarily related to the strength of wall motion and not to any inherent skewness of the flow, we conclude that in this range, likely even as ξ\xi\to\infty, instability must always persist given the right wavenumber combination. In other words, for OCPfs, if a cutoff threshold for unconditional stability exists, it cannot do so at finite ξ\xi. Note that no formal conclusions can be drawn about the critical Reynolds number under this paradigm; however, while it may very well be extremely large, it must remain finite.

Interestingly, for all θ\theta considered here, Figure 11 (b)(b) highlights the presence of a long-wavelength instability at the asymptotic wavenumber ratio γ=cotθ\gamma=-\cot\theta even for ξξf\xi\leq\xi_{f}. At the same time, in this range, Sections 3.2 and 3.3 (see, for example, Figure 10) demonstrate that the associated critical wavenumbers do not necessarily follow the asymptotic laws derived in Equations (49) and (50). Therefore, for these wall speeds, we can infer that although disturbances with wavenumber ratios γ=cotθ\gamma=-\cot\theta can potentially suffer exponential modal growth, they are not the fastest to do so (in the sense of a minimal Reynolds number required to achieve a positive growth rate). However, as ξ\xi increases beyond ξf\xi_{f}, while other wavenumber ratios stabilize (again, in the sense of a minimal Reynolds number), the effect, if any, on the asymptotic value is likely negligible – we discuss this further in Appendix C.

3.5 Eigenmodes and Linear Energetics

Refer to caption
Figure 12: Iso-surfaces of the streamwise uu and spanwise ww velocity fluctuations for the most unstable eigenmode at ξ=0.35\xi=0.35 for different θ\theta. For each case, the blue and red contours represent 25% of the (signed) minimum and maximum values of the perturbations, respectively.

Figure 12 illustrates for ξ=0.35\xi=0.35 the spatial distributions of uu and ww, which are, respectively, the streamwise and spanwise velocity perturbations associated with the most unstable eigenmode at criticality. In a two-dimensional shear flow such as ACPf, this instability is instigated by the Tollmien-Schlichting (TS) wave, which comprises spanwise-elongated streamwise-propagating rolls. The TS instability supports the so-called “classical” route to turbulence, where, under sufficient exponential amplification, secondary instabilities are generated and lead to non-linear breakdown and, thereafter, transition (Herbert, 1988; Schmid & Henningson, 2001; Cossu & Brandt, 2004).

For θ=10Θ1\theta=10^{\circ}\in\Theta_{1}, it is observed that both disturbance components propagate approximately parallel to the streamwise direction. This can be attributed, in part, to the critical spanwise wavenumber being close to zero, which, as shown in Figure 6 (b)(b), is typically the case for intermediate wall speeds within this range of angles. The streamwise fluctuations bear some resemblance to a TS wave, suggesting a possible similarity between the mechanisms of modal transition in ACPf and weakly skewed OCPfs. However, the spanwise fluctuations are non-zero and consist of weakly parallel flattened structures that are localized near the lower wall. The exact role of these structures in the transition process is not immediately clear and requires further numerical investigation, which is beyond the scope of this paper. On the other hand, for θ=45Θ2\theta=45^{\circ}\in\Theta_{2} and θ=135\theta=135^{\circ}, ξ=0.35ξf\xi=0.35\approx\xi_{f}, indicating that the stability characteristics of both flows are close to the asymptotic regime. Therefore, the most unstable wavenumber pair satisfies Equation (49) and is oblique. Consistent with the argument presented in Section 3.3, we observe that the associated eigenmode propagates exactly perpendicular to the direction of motion of the wall. The streamwise and spanwise fluctuations are qualitatively similar, both consisting of vortices tilted slightly away from each end of the channel. The cross-sections of these vortices for uu are somewhat distorted, while for ww they have a more regular, elliptical shape. Furthermore, we found that between θ\theta and 180θ180^{\circ}-\theta, the support of these structures moved from the lower to the upper wall, although this effect was not very noticeable.

The most interesting behavior is observed for θ=90\theta=90^{\circ}, when the pressure gradient and the wall velocity vectors are exactly orthogonal. First, we recall from Equation (44) that despite the value of ξ\xi for this configuration, βc=0\beta_{c}=0, and the Orr-Sommerfeld operator can always be identified with that for the plane-Poiseuille flow. Thus, the wall-normal and streamwise components (see Equation (16)) of the disturbance are identically invariant with the wall speed, precisely reducing to the TS instability found in pPf. However, unlike the latter flow, for which β0\beta\to 0 induces a vanishing normal vorticity in the (resulting) homogeneous Squire equation, the spanwise fluctuations are no longer zero due to the spanwise shear in the off-diagonal forcing term, Equation (13). They comprise bands of transverse arch-like structures that, to the best of our knowledge, have not been previously recorded in the linearized analysis of any canonical shear flow. Moreover, varying ξ\xi had little effect on the shape of these modes, appearing to change only their energy.

Refer to caption
Figure 13: At criticality, the spatial distribution of the perturbation energy budget terms for θ=30\theta=30^{\circ} and wall speeds between ξ=0.1\xi=0.1 to ξ=0.8\xi=0.8 in increments of 0.1. From left to right, (a)(a), the streamwise 𝒫u\mathcal{P}_{u} and (b)(b), the spanwise 𝒫w\mathcal{P}_{w} production, (c)(c), the viscous dissipation ε\varepsilon, (d)(d), the total production (𝒫=𝒫u+𝒫w\mathcal{P}=\mathcal{P}_{u}+\mathcal{P}_{w}), and the Reynolds stresses, (e)(e), τu\tau_{u} and (f)(f), τw\tau_{w}.

Figure 13 shows the linear energy budget at criticality for the angle θ=30\theta=30^{\circ}. As the wall speed increases from ξ=0.1\xi=0.1 to ξ=0.2\xi=0.2, the streamwise production 𝒫u\mathcal{P}_{u} decreases somewhat dramatically in the lower half of the channel, consistent with the initial rise in RecRe_{c} seen in Figure 7 (a)(a). However, for ξξf\xi\geq\xi_{f}, it eventually stagnates near the stationary wall, whereas a continuous, although noticeably slow, decline is observed near the moving wall. On the other hand, while 𝒫w\mathcal{P}_{w} seems to always suffer from a region of negative production near the upper wall, it operates at least one order of magnitude lower than 𝒫u\mathcal{P}_{u}. As a result, the total production 𝒫𝒫u\mathcal{P}\approx\mathcal{P}_{u} remains positive throughout most of the channel. Viscous dissipation decreases with increasing ξ\xi and, similar to 𝒫u\mathcal{P}_{u} (and, therefore, 𝒫\mathcal{P}), it converges to some extent for high wall speeds. Therefore, even from the standpoint of the linear energy budget, there is a clear indication of modal stability in OCPfs approaching asymptotic regimes, where the potential for exponential amplification at criticality seems to become entirely agnostic to the wall speed.

The spatial variation of the Reynolds stresses is also shown in Figure 13 (e(ef)f). Regarding τu\tau_{u}, we see that while it is primarily negative near the stationary wall, it is always positive near the moving wall. This is in stark contrast to ACPf and many of its variants, for example, (Sadeghi & Higgins, 1991; Nouar & Frigaard, 2009; Guha & Frigaard, 2010), for which an increasing wall speed also generates a region of negative stress in the upper half of the channel. Since the base streamwise shear in ACPfs is (typically) also negative throughout this region, the latter phenomenon decreases the overall energy production, stabilizing the flow – see Appendix A. A related commentary can be made on the changes and eventual disappearance of the critical layers at each wall, which, for strictly streamwise flows, are the wall-normal locations where the streamwise velocity matches the real part crc_{r} of the (critical) xx-phase speed. In ACPf, the critical layer near the moving wall is known to vanish as ξ\xi increases, which is often identified with stabilization. For OCPfs, due to the structure of the Orr-Sommerfeld equation, an analogous argument can be constructed using the effective velocity profile

Ueff=U+γW=1y2+ξeff2(1+y)U_{\mathrm{eff}}=U+\gamma W=1-y^{2}+\dfrac{\xi_{\mathrm{eff}}}{2}\left(1+y\right) (54)

which essentially represents a projection of the base velocity in the direction of the wavenumber vector (Schmid & Henningson, 2001). Here, we are interested in the wall-normal location(s) ycy_{c} such that Ueff(yc)=crU_{\mathrm{eff}}\left(y_{c}\right)=c_{r}. In general, since the effective velocity is quadratic in yy, two such points can exist, associated with each wall, and are explicitly given in closed form as follows

yc=14(ξeff±(4+ξeff)216cr)y_{c}=\dfrac{1}{4}\left(\xi_{\mathrm{eff}}\pm\sqrt{\left(4+\xi_{\mathrm{eff}}\right)^{2}-16c_{r}}\right) (55)

The thickness of each layer can then be expressed as δc=1|yc|\delta_{c}=1-\left|y_{c}\right|, and is shown in Figure 14 for two shear angles, θ=10Θ1\theta=10^{\circ}\in\Theta_{1} and θ=60Θ2\theta=60^{\circ}\in\Theta_{2}. For the first case, similar to ACPf, both critical layers initially become thinner. Eventually, near the point of inflection in the associated RecRe_{c}-curve, the critical layer near the moving wall vanishes, whereas the one near the lower wall continues to thicken and stabilize the flow. Mathematically, this can be attributed to changes in the asymmetry of UeffU_{\mathrm{eff}}, which, in turn, are influenced by variations in the effective wall speed ξeff\xi_{\mathrm{eff}}. However, a particularly intriguing behavior is observed when ξξf\xi\geq\xi_{f}. In this case, the thickness δc\delta_{c} for the moving wall experiences a sudden increase from zero to a roughly constant value approximately equal to that of the lower wall. This can be explained by the constraints on the asymptotic wavenumber pair, Equation (48), which enforce ξeff0\xi_{\mathrm{eff}}\approx 0 in the asymptotic regime and reduce UeffU_{\mathrm{eff}} to a symmetric parabolic profile. As a result, the absolute values of the roots in Equation (55) coalesce and remain |yc|1\left|y_{c}\right|\leq 1, which appears to be consistent with the plateauing observed in the critical parameters, Figures 5 and 6. In a similar vein, for θ=60\theta=60^{\circ}, because the asymptotic regime is accessed earlier (that is, at smaller ξ\xi), the effective velocity profile is almost always perfectly symmetric, allowing the thicknesses to remain roughly identical and non-zero throughout most of the ξ\xi range explored here. On a separate note, for θ=60\theta=60^{\circ}, Figure 14 (b)(b) highlights an initial increase in δc\delta_{c} near the stationary wall, which seems to support the monotonicity of the corresponding RecRe_{c}-curve in this range, Figure 7. Furthermore, considering the behavior of the critical layers when the wall speed approaches the point of inflection in the RecRe_{c}-curves for ACPf and OCPfs in Θ1\Theta_{1}, it is likely that the absence of such a feature for Θ2\Theta_{2} is related to the fact that both critical layers remain intact at these angles.

Refer to caption
Figure 14: The development of the thicknesses δc\delta_{c} of the critical layers for representative angles from each stability regime. A solid versus dashed line is used to distinguish the lower, stationary, wall from the upper, moving, wall. In each case, an inset illustrates the effective mean velocity profiles UeffU_{\mathrm{eff}} for values of the wall speed between ξ=0.2\xi=0.2 to ξ=1\xi=1 in increments of 0.1. For θ=10\theta=10^{\circ}, an arrow depicts the direction of increasing ξ\xi (note that ξξf\xi\to\xi_{f} implies ξeff0\xi_{\mathrm{eff}}\to 0). For θ=60\theta=60^{\circ}, while not immediately apparent, the effective velocity profiles for the wall speeds chosen here coincide almost exactly.

4 Non-Modal Analysis

Despite the results of an eigenvalue analysis, the transition to turbulence in many canonical flows is often sub-critical, meaning it occurs in the absence of linear instability. A classic example of this is Hagen-Poiseuille flow, which is widely considered to be linearly stable (Schmid & Henningson, 2001; Drazin & Reid, 2004), yet is known to transition at Re2000Re\gtrapprox 2000 (Reynolds, 1883; Wygnanski & Champagne, 1973; Avila et al., 2011). A potential explanation for this discrepancy lies in non-modal growth, which is a purely linear phenomenon that can be ascribed to the non-normality of the linearized Navier-Stokes operator, \mathsfbiS\mathsfbi{S}. In shear flows, this amplification can be many orders of magnitude stronger than the growth rates predicted by a spectral analysis (Trefethen et al., 1993; Brandt, 2014). Non-modal theory has accurately predicted the short-term energy growth observed in numerical (Böberg & Brösa, 1988) and experimental (Klingmann, 1992; Mayer & Reshotko, 1997) studies, as well as the role of streamwise vortices in bypass transition (Brandt, 2014). Such a framework has also been successful in characterizing streamwise streaky structures typical in fully turbulent boundary layers (Butler & Farrell, 1993; Cossu et al., 2009).

Refer to caption
Figure 15: Plots of max\mathcal{R}_{\max}, the maximum of the resolvent energy norm across all forcing frequencies ζ\zeta for ξ=0.35\xi=0.35 and Re=1500Re=1500; (a)(a), α=1\alpha=1 and β\beta varied in increments of 0.10.1; (b)(b), β=1\beta=1 and α\alpha varied in increments of 0.050.05. In (b)(b), the inset zooms in on the region where max\mathcal{R}_{\max} appears to increase in conjunction with α\alpha. Note the periodicity in θ\theta.

We start by investigating the resolvent \mathsfbiR\mathsfbi{R} and its associated energy norm \mathsfbiRE\mathcal{R}\equiv\left\lVert\mathsfbi{R}\right\rVert_{E}. For some representative pairs of wavenumbers, Figure 15 visualizes max\mathcal{R}_{\max}, defined as

max=maxζ(α,β,Re,ξ,θ,ζ),\mathcal{R}_{\max}=\max_{\zeta}\mathcal{R}\left(\alpha,\beta,Re,\xi,\theta,\zeta\right), (56)

for Re=1500Re=1500, which is sub-critical for all possible OCPf configurations. As is the case with many of the quantities explored in Section 3, the periodicity of the base flow in θ\theta once again embeds itself in max\mathcal{R}_{\max}, which appears to be \upi\upi-periodic. On the other hand, the forcing frequency ζ\zeta that gives rise to max\mathcal{R}_{\max} was found to be 2\upi2\upi-periodic, though it is not shown here. Comparing Figures 15 (a)(a) and (b)(b), we immediately see that the response of spanwise-independent disturbances is relatively damped compared to disturbances with α=0\alpha=0, a difference that spans approximately an order of magnitude. In the former case, allowing for a weak zz-dependence by steadily varying β\beta produced only a negligible increase. However, for disturbances of the second kind, changes in the streamwise wavenumber appeared to have a more diverse effect. In particular, while max\mathcal{R}_{\max} decreased for, say, θ90\theta\lessapprox 90^{\circ}, it actually increased for 90θ16590^{\circ}\lessapprox\theta\lessapprox 165^{\circ}. This is significantly different from many classical two-dimensional flows, where it is usually disturbances completely independent of xx that elicit the most vigorous response (Trefethen et al., 1993; Schmid & Henningson, 2001).

Refer to caption
Figure 16: For θ=30\theta=30^{\circ} and various ξξf\xi\geq\xi_{f}, the logarithmic level curves at (αf,βf,Ref)\left(\alpha_{f},\beta_{f},Re_{f}\right) for the ϵ\epsilon-pseudospectra from logϵ=1\log\epsilon=-1 to logϵ=11\log\epsilon=-11 (outer to inner) in decrements of 2-2. The Orr-Sommerfeld modes in the xx-phase speed formulation are depicted via circles; notice these appear unchanged with ξ\xi, a consequence of the asymptotic triplet enforcing a reduction to the “same” eigenvalue problem (see Appendix C). A dashed line indicates the stability boundary ci=0c_{i}=0.

For more general forcing frequencies, ζ\zeta\in\mathbb{C}, Figure 16 illustrates for θ=30\theta=30^{\circ} the contours of \mathsfbiR1E\left\lVert\mathsfbi{R}^{-1}\right\rVert_{-E} in the complex plane, where E\left\lVert\cdot\right\rVert_{-E} is the “inverse” energy norm

\mathsfbiR1E=σmin(\mathsfbiF\mathsfbiR1\mathsfbiF1)\left\lVert\mathsfbi{R}^{-1}\right\rVert_{-E}=\sigma_{\min}\left(\mathsfbi{F}\mathsfbi{R}^{-1}\mathsfbi{F}^{-1}\right) (57)

and σmin\sigma_{\min} denotes the smallest singular value of the operator \mathsfbiF\mathsfbiR1\mathsfbiF1\mathsfbi{F}\mathsfbi{R}^{-1}\mathsfbi{F}^{-1}. Here, we have chosen to focus on wall speeds ξξf\xi\geq\xi_{f} and the associated asymptotic parameters (αf,βf,Ref)\left(\alpha_{f},\beta_{f},Re_{f}\right), Section 3.3. Within the paradigm of the ϵ\epsilon-pseudospectra, the interpretation of these plots is as follows. Since the properties of the 22-norm imply

=σmax(\mathsfbiF\mathsfbiR\mathsfbiF1)=σmin1(\mathsfbiF\mathsfbiR1\mathsfbiF1)=\mathsfbiR1E1,\mathcal{R}=\sigma_{\max}\left(\mathsfbi{F}\mathsfbi{R}\mathsfbi{F}^{-1}\right)=\sigma_{\min}^{-1}\left(\mathsfbi{F}\mathsfbi{R}^{-1}\mathsfbi{F}^{-1}\right)=\left\lVert\mathsfbi{R}^{-1}\right\rVert_{-E}^{-1}, (58)

the set Λϵ\Lambda_{\epsilon} in Equation (28) admits the alternative definition

Λϵ={ζ:\mathsfbiR1Eϵ}\Lambda_{\epsilon}=\left\{\zeta\in\mathbb{C}\colon\left\lVert\mathsfbi{R}^{-1}\right\rVert_{-E}\leq\epsilon\right\} (59)

Thus, within the level curve \mathsfbiR1E=ϵ\left\lVert\mathsfbi{R}^{-1}\right\rVert_{-E}=\epsilon, O(ϵ1)O\left(\epsilon^{-1}\right) amplification can be realized. Additionally, the extent to which these contours protrude into the upper half-plane can be connected to the potential for transient energy amplification. In particular, Reddy et al. (1993) showed that such growth cannot occur (that is, G1G\leq 1) if and only if βϵϵ\beta_{\epsilon}\leq\epsilon for all ϵ0\epsilon\geq 0, where

βϵ=supζΛϵ(\mathsfbiS)(ζ)\beta_{\epsilon}=\sup_{\zeta\in\Lambda_{\epsilon}\left(\mathsfbi{S}\right)}\Im\left(\zeta\right) (60)

The significance of the restriction on βϵ\beta_{\epsilon} lies in noting that for a normal operator, the 2-norm ϵ\epsilon-pseudospectra comprises closed balls of radius ϵ\epsilon centered around the eigenvalues (Trefethen & Embree, 2005). Therefore, for a linearly (not necessarily asymptotically) stable normal operator, βϵ\beta_{\epsilon} reaches its maximum at βϵ=ϵ\beta_{\epsilon}=\epsilon, specifically for a marginally stable mode. Returning to Figure 16, we observe, for all wall speeds, pseudo-resonance down to ϵ107\epsilon\approx 10^{-7}. Increasing ξ\xi appears to expand and widen the pseudo-spectral contours, though their penetration beyond ci=0c_{i}=0 remains essentially unaffected. Nonetheless, level curves admitting even stronger amplification emerge, up to ϵ1011\epsilon\approx 10^{-11}, indicating that despite the convergence of modal characteristics in this regime, an increase in ξ\xi is still capable of enhancing non-modal mechanisms, given, of course, the appropriate forcing.

Refer to caption
Figure 17: For various θ\theta, curves of GmaxG_{\max}, the largest possible energy gain exhibited by OCPfs across time and wavenumber space. A black dashed line indicates the equivalent plot for the aligned case, θ=0\theta=0. In general, the largest amplification is realized for small but non-zero angles, peaking at θ=4.5\theta=4.5^{\circ} for most ξ\xi. A greater degree of skewness in the flow tends to suppress the amplification, particularly for modest to large wall speeds.

We now turn our attention to the dynamics of the unforced initial value problem, Equation (12). In particular, we are interested in GmaxG_{\max}, defined for an OCPf configuration (ξ,θ)\left(\xi,\theta\right) as the maximal amplification in time and wavenumber space

Gmax(Re,ξ,θ)=maxα,β,tG(α,β,Re,ξ,θ,t)G_{\max}\left(Re,\xi,\theta\right)=\max_{\alpha,\beta,t}G\left(\alpha,\beta,Re,\xi,\theta,t\right) (61)

Figure 17 outlines the findings of a large parameter sweep for GmaxG_{\max} at Re=1000Re=1000, slightly above the range for transition in aligned Couette-Poiseuille flow as quoted, for example, by Tsanis & Leutheusser (1988) and Klotz et al. (2017) (note, however, that their Reynolds numbers are based on the wall velocity). As in Section 3, all results are presented relative to those of ACPf, θ=0\theta=0, which experiences a monotonic increase in GmaxG_{\max} with ξ\xi. The introduction of a weak misalignment maintains this trend, but allows for greater amplification throughout the full range of wall speeds explored here. This effect was determined to be most pronounced at θ4.5\theta\approx 4.5^{\circ}. At even larger shear angles, two different regimes can be identified in ξ\xi. In particular, while GmaxG_{\max} continues to grow with θ\theta (albeit slowly) for 0<ξ0.10<\xi\lessapprox 0.1, it tends to decrease quite rapidly for ξ0.2\xi\gtrapprox 0.2. Furthermore, at least for wall speeds in this range, no asymptotic behavior for GmaxG_{\max} was resolved, which is in sharp contrast to our results on modal stability.

Refer to caption
Figure 18: (a)(a), the variation in ξ\xi of θmax\theta_{\max}, the shear angle that optimizes GmaxG_{\max}. Some combinations of (ξ,θmax)\left(\xi,\theta_{\max}\right) have been selected and the associated flow directions and crossflow profiles highlighted with the appropriate color in (b)(b) and (c)(c), respectively. Our conclusions are robust to the choice of these pairs. An inset in (b)(b) shows the yy-averaged deviation ϕ\left\langle\phi\right\rangle of the optimal net base flow from the streamwise direction, Equation (63).

Interestingly, within the paradigm of transient growth, it is apparent that larger values of θ\theta are typically the most “stable”, with θ=90\theta=90^{\circ} providing the strongest reduction in GmaxG_{\max} for a wide range of wall speeds. The latter observation stands, of course, in strong opposition to the results presented in the previous section, particularly Equation (44), which claims that a perfectly orthogonal OCPf configuration is, in fact, capable of minimizing RecRe_{c} in the (ξ,θ)\left(\xi,\theta\right)-plane. An antagonistic effect, therefore, appears to be at play here, since, individually, both ACPf and the standard Couette flow support strong transient responses, yet for sufficiently skewed OCPfs, GmaxG_{\max} can drop to as low as 46%46\% of the equivalent value for pPf at this Reynolds number (Gmax196G_{\max}\approx 196). From a mathematical perspective, one can attribute this to the non-linearity of the operator norm or to the fact that, contrary to modal analysis, we are now investigating the full Orr-Sommerfeld-Squire system, for which ξeff\xi_{\mathrm{eff}} no longer constitutes an informative parameter. Physically, however, an intriguing analogy can be drawn to fully turbulent three-dimensional boundary layers, for which increasing skewness, in the mean sense, is known to dampen the generation of Reynolds stresses and, therefore, the production of turbulent kinetic energy relative to the two-dimensional case (Eaton, 1995; Johnston & Flack, 1996; Coleman et al., 1996; Lozano-Durán et al., 2020). Although the physical mechanisms involved are not yet well understood, it is often believed that the addition of a mean spanwise strain detracts large momentum-carrying eddies from their optimal alignment (Van Den Berg et al., 1975; Bradshaw & Pontikos, 1985). In the context of laminar OCPfs as treated here, one can partially quantify the existence of such an ideal configuration by considering θmax\theta_{\max}

θmax(Re,ξ)={θGmax(Re,ξ,θ)=maxθGmax(Re,ξ,θ)}\theta_{\max}\left(Re,\xi\right)=\{\theta^{\prime}\mid G_{\max}\left(Re,\xi,\theta^{\prime}\right)=\max_{\theta}G_{\max}\left(Re,\xi,\theta\right)\} (62)

which, at a given ξ\xi, represents the angle of wall motion that achieves the most vigorous non-modal amplification. Figure 18 (a)(a) highlights that θmax\theta_{\max} decays primarily as a power law. More importantly, as shown in Figures 18 (b)(b) and (c)(c), the crossflow component WW associated with θmax\theta_{\max} is quite weak, allowing the flow direction ϕ\phi to collapse throughout most of the channel and experience rapid variation only near the upper wall. To further visualize this, an average skewness ϕ\left\langle\phi\right\rangle, defined as

ϕ=11ϕ(y)dy\left\langle\phi\right\rangle=\int_{-1}^{1}\phi\left(y\right)\,\mathrm{d}y (63)

is also plotted in the inset of Figure 18 (b)(b) and remains small (6\lessapprox 6^{\circ} at best) for all ξ\xi. Thus, the optimal configuration for energy growth in OCPfs appears to be an approximately collateral boundary layer, with a flow direction roughly constant in yy and almost aligned with the streamwise axis.

Refer to caption
Figure 19: The variation in (ξ,θ)\left(\xi,\theta\right)-space of (a)(a), the streamwise wavenumber αmax\alpha_{\max}, (b)(b), the spanwise wavenumber βmax\beta_{\max}, and (c)(c), the time tmaxt_{\max} at which the maximum energy amplification GmaxG_{\max} is attained. In the case of αmax\alpha_{\max}, a dashed line indicates the level curve αmax=0\alpha_{\max}=0. (d)(d) depicts contours of ξoff\xi_{\mathrm{off}}, which seem to be positively correlated through the non-normality in the OSS operator to GmaxG_{\max}.

In Figure 19, we present the contours of the wavenumbers and the time tt that achieve the maximum amplification GmaxG_{\max}. For purely streamwise flows, this optimal gain is generally observed for longitudinal modes, αmax=0\alpha_{\max}=0 (Trefethen et al., 1993; Schmid & Henningson, 2001). However, this may or may not be the case for three-dimensional flows. Indeed, for OCPfs, we found the maximum amplification to occur for small but often non-zero streamwise wavenumbers, with little overall variation in the (ξ,θ)\left(\xi,\theta\right)-space. In some cases, streamwise-invariant disturbances remained optimal, but these were the exception rather than the rule. On the contrary, the optimal spanwise wavenumbers fluctuated more strongly, varying from βmax2.05\beta_{\max}\approx 2.05 to βmax2.25\beta_{\max}\approx 2.25 and even down to βmax1.3\beta_{\max}\approx 1.3. A rudimentary explanation for these trends can be obtained by recalling that the non-normality of the OSS operator \mathsfbiS\mathsfbi{S} is tied to the mean shear(s) coupling the velocity perturbations in the Squire equation through the operator iβ𝒟Uiα𝒟Wi\beta\mathcal{D}U-i\alpha\mathcal{D}W; see Equations (10) and (13). Thus, in the same spirit as the effective wall speed ξeff\xi_{\mathrm{eff}}, one can attempt to split this operator into its “Poiseuille” and “Couette” constituents

iβ𝒟Uiα𝒟W=i(2βy+ξoff)i\beta\mathcal{D}U-i\alpha\mathcal{D}W=i\left(-2\beta y+\xi_{\mathrm{off}}\right) (64)

where we have defined

ξoff=ξ2(βcosθαsinθ)\xi_{\mathrm{off}}=\dfrac{\xi}{2}\left(\beta\cos\theta-\alpha\sin\theta\right) (65)

Since the Poiseuille contribution in Equation (64) is agnostic to the wall motion and does not, at any rate, favor either half of the channel, maximizing the effective mean shear is equivalent to maximizing |ξoff|\left|\xi_{\mathrm{off}}\right|. Then, assuming β>0\beta>0, smaller shear angles would be biased toward larger spanwise wavenumbers because sinθ0\sin\theta\approx 0. On the contrary, for larger θ\theta, cosθ\cos\theta is small and α\alpha should ideally become increasingly negative, though Figure 19 (a)(a) shows that this preference seems to emerge only at higher wall speeds. In Figure 19 (d)(d), we see that ξoff\xi_{\mathrm{off}} somewhat emulates the changes in GmaxG_{\max} at this Reynolds number. For example, while its maximum in the (ξ,θ)\left(\xi,\theta\right)-plane occurs in the purely parallel, high-ξ\xi, limit, its minimum is realized as θ90\theta\to 90^{\circ}. Of course, however, this correlation is bound to be imperfect, particularly because ξoff\xi_{\mathrm{off}}, in this case, cannot be a definitive statistic. The nature of the remaining blocks in \mathsfbiS\mathsfbi{S} is equally important and does not admit a simple interpretation, calling for a more complex analysis that is outside the scope of this article. Finally, the time tmaxt_{\max} taken to achieve the maximum growth appears to be the longest when an OCPf is weakly oblique and generally decreases in the direction of increasing ξ\xi and θ\theta. Note that, for the latter combination of flow parameters, GmaxG_{\max} also tends to a minimum, indicating that transient phenomena for these configurations operate on shorter time scales and are likely suppressed by the viscosity before reaching sufficient amplitudes to trigger further instability. We remark in passing that while a search was conducted for θ(90,180]\theta\in\left(90^{\circ},180^{\circ}\right], GmaxG_{\max} and all associated optimal parameters were found to be symmetric around θ=90\theta=90^{\circ}. An exception to this was αmax\alpha_{\max}, which was determined to be anti-symmetric, a result that is not suggested by any operator-level symmetries.

Figure 20 concludes this section by presenting for various θ\theta the initial condition and response pair associated with GmaxG_{\max}. Respectively, these are the first right and left singular functions of the state transition operator Φ(t,0)\Phi\left(t,0\right). In two-dimensional flows, the optimal initial field, typically observed for α=0\alpha=0, is characterized by weak counter-rotating streamwise vortices that evolve through a redistribution of horizontal momentum by the normal velocity fluctuations to form high-energy streaks at t=tmaxt=t_{\max}. Originally proposed in the works of Ellingsen & Palm (1975) and Landahl (1975, 1980), this process is commonly referred to as the lift-up effect, in which a linear amplification in time proportional to the streamwise shear can be achieved for a streamwise-independent disturbance, at least in the inviscid limit. In the viscous alternative, this growth would continue to persist, but only to the leading order before decaying due to viscosity (Brandt, 2014). Although the three-dimensionality of our flow introduces additional nuance, Ellingsen & Palm (1975) had suggested that the lift-up process could remain viable even in skewed boundary layers, arguing, however, that streak growth would substantially decrease, particularly so in the case of oblique Couette-Poiseuille flows because the streamwise shear itself decreases as θπ/2\theta\to\pi/2. Indeed, Corbett & Bottaro (2001), for example, found that streamwise streaks developing via lift-up remained the optimal disturbance in Falkner-Skan-Cooke boundary layers.

Therefore, it is not surprising that the optimal initial conditions in Figure 20 comprise weak streamwise vortices whose amplification at the optimal time decreases in response to an increase in flow obliqueness (note that αmax0\alpha_{\max}\approx 0 for the ξ\xi considered here, Figure 19, although our results remained unchanged even when this was not the case). However, as captured by both Blesbois et al. (2013) and Hack & Zaki (2015) for their respective base flows, these vortices also initially oppose and eventually tilt in the direction of the spanwise shear, reminiscent of the inviscid down-gradient Reynolds stress mechanism proposed by Orr (Orr, 1907; Butler & Farrell, 1992). Therefore, we conclude that at least up to the stage of primary instability, the route to transition for oblique Couette-Poiseuille flows is likely dominated by a lift-up process induced by an Orr-type mechanism. Furthermore, since the Orr mechanism is enhanced by the presence of increasing (spanwise) shear, it is likely that the trends in GmaxG_{\max} observed in Figure 17 can be attributed to a decrease in the effectiveness of the lift-up process.

Refer to caption
Figure 20: The optimal initial condition (left) and response (right) pair for representative values of θ\theta at ξ=0.25\xi=0.25. Color denotes uu and the quiver arrows denote the cross-stream velocity perturbations, vv and ww.

5 Conclusion

We performed a comprehensive modal and non-modal stability analysis in oblique Couette-Poiseuille flows, which are described by a wall motion at an angle θ\theta to the pressure gradient. These are generalizations of the traditional aligned case and, to the best of our knowledge, have not received prior attention in the stability literature.

We derive the corresponding Orr-Sommerfeld-Squire system, identifying by a simple analogy an effective wall speed that completely characterizes modal solutions. A large-scale numerical sweep reveals that, in general, a misalignment between the pressure gradient and the wall velocity is destabilizing, at least relative to the aligned case. Considerations of symmetry and periodicity allow for a restriction of the parameter space to θ[0,90]\theta\in\left[0^{\circ},90^{\circ}\right] and, in this range, two regimes are identified. For shear angles 0<θ200^{\circ}<\theta\lessapprox 20^{\circ}, almost all stability features in OCPfs continue from the aligned case. On the other hand, the range 20θ9020^{\circ}\lessapprox\theta\leq 90^{\circ} demonstrates sharper differences, including, in particular, the lack of a trademark inflection point in the RecRe_{c}-curves as observed for ACPf. The linear energy budget and the movement of the critical layers generated by the effective velocity profile seem to confirm these trends. Modal instability is optimized by the perfectly orthogonal configuration, θ=90\theta=90^{\circ}, which exhibits a constant critical tuple for all ξ\xi. For all θ0\theta\neq 0, we find that unstable modes persist throughout ξ[0,1]\xi\in\left[0,1\right], notably distinct from ACPf, where ξ0.7\xi\approx 0.7 marks the transition to a regime of unconditional linear stability. This behavior is accompanied by a convergence of the critical parameters starting at the threshold ξ=ξf\xi=\xi_{f}, which appears to decrease with θ\theta. A simple theoretical analysis explains the latter phenomenon and derives the exact asymptotic values of the critical parameters in the limiting regime. Separately, a modified long-wavelength analysis is used to confirm that non-trivial OCPfs have no cutoff wall speeds and are always linearly unstable.

On the topic of non-modal disturbances, OCPfs, through the non-normality endowed to the OSS operator by the streamwise and crossflow shears, exhibit trends that conflict with those commonly quoted for two-dimensional flows. For example, the resolvent norm is not necessarily maximized for disturbances with α=0\alpha=0. Meanwhile, the ϵ\epsilon-pseudospectra reveal that even if modal stability converges beyond ξ=ξf\xi=\xi_{f}, non-modal mechanisms might continue to be amplified by changes in the wall speed. Finally, considering the unforced initial value problem, the maximum energy amplification GmaxG_{\max} appears to decrease strongly with the skewness of the base profiles, implying that the imposition of three-dimensionality is generally detrimental to energy growth. This is reminiscent of fully turbulent three-dimensional boundary layers, where increased skewness is known to suppress turbulent energy production. Note that while Hack & Zaki (2015) observed similarly declining energy gains for their Blasius-Stokes flow, Corbett & Bottaro (2001) calculated a stronger transient growth relative to the two-dimensional case in their study on swept boundary layers, suggesting a strong dependence on the particular mechanism that enforces the skewness in the base flow. At all wall speeds, however, the configuration that optimizes energy amplification appears to be a weakly three-dimensional collateral boundary layer. Finally, the most energetic initial perturbations seem to develop via a lift-up process enhanced by an Orr-like mechanism driven by the spanwise shear, the latter being absent in streak amplification for two-dimensional flows.

A natural extension of this article seems to be through an investigation of oblique Couette-Poiseuille flows in the turbulent regime, which is perhaps where a majority of practical applications reside. Although there have been some previous studies, they have primarily focused on the perfectly aligned case (Kim & Lee, 2018; Kim et al., 2020; Cheng et al., 2023) or the perfectly orthogonal case (Coleman et al., 1996; Howard & Sandham, 1997; Le et al., 2000; Kannepalli & Piomelli, 2000), with little or no attention devoted to intermediate θ\theta. Some initial work on the latter configurations has been conducted, for example, Zhang et al. (2023), but additional effort is needed and will likely contribute well to our overall understanding of the physics in three-dimensional boundary layers.

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[Acknowledgements]We would like to acknowledge high-performance computing time on Leavitt, Bates College, and Anvil, Purdue University, the latter obtained via the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) allocation MCH230042.

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[Funding]This research was sponsored by a University of Pennsylvania faculty startup grant.

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[Declaration of interests]The authors report no conflict of interest.

\backsection

[Author ORCIDs]George Ilhwan Park, https://orcid.org/0000-0002-8242-8515; Muhammad Abdullah, https://orcid.org/0000-0001-9338-2631.

Appendix A Numerical Methods and Validation

To discretize the Orr-Sommerfeld-Squire system, a Chebyshev pseudo-spectral method was written in Python. The clamped boundary conditions were incorporated as discussed in Trefethen (2000). An initial convergence check allowed us to choose N=128N=128 Gauss-Lobatto points for collocation, resulting in a (2N+2)×(2N+2)\left(2N+2\right)\times\left(2N+2\right) matrix problem. We found this to be sufficient to achieve precision up to eight decimal places. To efficiently traverse the large parameter space, we scaled to an embarrassingly parallel workload on many CPUs using the open-source Python module Ray (Moritz et al., 2018).

Modal solutions were computed by solving the generalized eigenvalue problem using the LAPACK wrapper in SciPy. For the singular value decomposition, we used a built-in sparse solver based on the implicitly restarted Arnoldi method (Lehoucq et al., 1998). We remark that this choice was motivated not by the size of the matrices being created, which is rather small and enables reasonably fast dense solutions, but by the number of gridpoints being investigated. The ϵ\epsilon-pseudospectra, specifically, were created using Eigentools (Oishi et al., 2021), a high-level eigenvalue module that implements the economy method of Embree & Keeler (2017). Eigentools is wrapped over Dedalus, a general-purpose sparse spectral solver capable of handling nearly arbitrary partial differential systems and boundary conditions (Burns et al., 2020).

A.1 Aligned Couette-Poiseuille flow

Refer to caption
Figure 21: (a)(a), the variation of αc\alpha_{c} and RecRe_{c} with the wall speed ξ\xi. Note where either curve suddenly “disappears”; this marks ξA\xi_{A}, the cutoff wall speed beyond which the flow is always asymptotically stable. (b)(b), the neutral curves in the (α,Re)\left(\alpha,Re\right)-plane for ACPf at ξ=0.1\xi=0.1 to ξ=0.6\xi=0.6 in increments of 0.1. In each case, the critical pair is denoted by a circle. The dashed line here represents the distinguished limit αRe1\alpha\sim Re^{-1}.

In the limit θ0\theta\to 0, the wall movement becomes perfectly parallel to the pressure gradient and the aligned Couette-Poiseuille flow is recovered

U(y)=1y2+ξ2(1+y)W(y)=0U\left(y\right)=1-y^{2}+\dfrac{\xi}{2}\left(1+y\right)\qquad W\left(y\right)=0 (66)

This is a classic base flow that has received numerous treatments in the literature. Potter (1966) was the first to determine that the imposition of a wall shear is generally stabilizing. He found that while the critical Reynolds number RecRe_{c} increased, albeit non-monotonically, the critical streamwise wavenumber αc\alpha_{c} approached zero (note that Squire’s Theorem allows βc=0\beta_{c}=0). Above a threshold value, ξA\xi_{A}, of the non-dimensional wall speed, this stabilization was found to be unconditional. Figure 21 (a)(a) summarizes the stability of ACPf and is consistent with the findings of, for example, Potter (1966); Nouar & Frigaard (2009); Kirthy & Diwan (2021). Initially, RecRe_{c} increases before experiencing an inflection point between 0.2ξ0.40.2\lessapprox\xi\lessapprox 0.4, and then continues to increase until ξA0.70370\xi_{A}\approx 0.70370 – see Section 3.4. The movement of the neutral curves in the (α,Re)\left(\alpha,Re\right)-plane with wall speed is illustrated in Figure 21 (b)(b). As described in Cowley & Smith (1985), their upper and lower branches scale as αRe1\alpha\sim Re^{-1} as ReRe\to\infty, which is instrumental in formulating the long-wavelength Orr-Sommerfeld problem. The most unstable eigenmode is the usual Tollmien-Schlichting wave, streamwise-propagating and uniform in zz.

Refer to caption
Figure 22: (a)(a), the energy production 𝒫u\mathcal{P}_{u} against the mean streamwise shear; as ξ\xi increases, a large region of negative production appears near the upper wall. (b(bc)c), respectively, the real part of the xx-phase speed cc at criticality and the thicknesses of the critical layers in each half of the channel. The stationary wall is, of course, the lower one.

Figure 22 (a)(a) presents an expedited analysis of the linear energetics at criticality for ACPf. The inflectional region in the RecRe_{c}-curve is typically discussed in the context of the thicknesses δc\delta_{c} of the critical layers, the wall-normal location(s) ycy_{c} such that U(yc)=crU\left(y_{c}\right)=c_{r}, where energy production is often localized. In principle, the quadratic nature of UU allows the existence of two such critical points, associated, respectively, with each wall. Referencing Figures 22 (b)(b) and (c)(c), we see that, initially, as ξ\xi increases, δc\delta_{c} decreases near both walls, supporting destabilization. Eventually, the critical layer near the moving wall vanishes completely due to the asymmetry of UU in the upper half of the channel at higher values of ξ\xi. Simultaneously, in the same region, τu\tau_{u} (note that τw=0\tau_{w}=0) becomes increasingly negative, and since 𝒟U<0\mathcal{D}U<0 here as well, energy is extracted from the perturbation field back to the base flow. Furthermore, the critical layer near the lower fixed wall gradually thickens, which has a stabilizing effect (Potter, 1966; Guha & Frigaard, 2010). Viscous dissipation (not shown here), while confined primarily to thin layers near each wall, appears to increase as well.

Appendix B Summarizing Modal Stability in Oblique Couette-Poiseuille flows

In Figure 23, we provide complete data on the critical flow parameters (αc,βc,Rec)\left(\alpha_{c},\beta_{c},Re_{c}\right) in the (ξ,θ)\left(\xi,\theta\right)-plane for OCPfs. As predicted in Section 3.2, βc\beta_{c} is anti-symmetric about θ=\upi/2\theta=\upi/2, whereas both αc\alpha_{c} and RecRe_{c} are symmetric. Stability is maximized, at least in the sense of the critical Reynolds number, when θ0\theta\to 0. On the other hand, oblique Couette-Poiseuille flows are the most unstable either when ξ0\xi\to 0 (pPf) or when θ\upi/2\theta\to\upi/2.

Figure 24 highlights the variation of the most unstable eigenvalue at criticality. Here, c𝒌c_{\boldsymbol{k}} denotes the complex 𝒌\boldsymbol{k}-phase speed, defined by means of the following dispersion relation

c𝒌=ω𝒌2=ωα2+β2c_{\boldsymbol{k}}=\dfrac{\omega}{\left\lVert\boldsymbol{k}\right\rVert_{2}}=\dfrac{\omega}{\sqrt{\alpha^{2}+\beta^{2}}} (67)

where ω\omega is the complex frequency and 𝒌\boldsymbol{k} is the wavenumber vector (Rumpf, 2015). While its imaginary component (c𝒌)\Im\left(c_{\boldsymbol{k}}\right) represents a (scaled) exponential growth rate, the real part (c𝒌)\Re\left(c_{\boldsymbol{k}}\right) characterizes the wave propagation speed in the direction of 𝒌\boldsymbol{k}. Note that this quantity is a generalization of the xx-phase speed c=ω/αc=\omega/\alpha that occurs somewhat organically in the Orr-Sommerfeld problem and that is typically adopted for the study of two-dimensional flows. Indeed, under Squire’s Theorem, 𝒌2=α\left\lVert\boldsymbol{k}\right\rVert_{2}=\alpha and c𝒌=cc_{\boldsymbol{k}}=c. For mean three-dimensional flows with non-trivial spanwise wavenumbers, the 𝒌\boldsymbol{k}-phase speed is more physically informative and capable of providing a better collapse, since the most unstable waves are generally oblique. Once again, we see that (c𝒌)\Im\left(c_{\boldsymbol{k}}\right) is precisely symmetric around θ=\upi/2\theta=\upi/2, although this symmetry is broken for (c𝒌)\Re\left(c_{\boldsymbol{k}}\right). The latter is especially prominent for smaller angles, that is, Θ1\Theta_{1} and 180Θ1180^{\circ}-\Theta_{1}, where the stability characteristics of OCPfs essentially continue from the aligned case, Section 3.2. Such asymmetries have also been captured for cc when comparing positive versus negative wall speeds in ACPf; see, for example, Figure 3 in Kirthy & Diwan (2021).

Refer to caption
Figure 23: Plots of (αc,βc,Rec)\left(\alpha_{c},\beta_{c},Re_{c}\right) in the (ξ,θ)\left(\xi,\theta\right)-plane. For visual clarity in the contours of the critical Reynolds number, we have restricted the θ\theta-axis to θ[0,90]\theta\in\left[0,90^{\circ}\right] and opted for a logarithmic scale normalized by Rec,pPf5773.72Re_{c,\mathrm{pPf}}\approx 5773.72, the equivalent threshold for linear instability in plane-Poiseuille flow.
Refer to caption
Figure 24: Contours of the real and imaginary components of the 𝒌\boldsymbol{k}-phase speed c𝒌c_{\boldsymbol{k}}; the dashed line indicates ξf\xi_{f}, the wall speed initiating the asymptotic regime. In general, the growth rates are feeble, and while it might not be immediately evident from the modified definition of the phase speed, the most unstable eigenmode is indeed a wall mode (AA-branch) as for ACPf.

Appendix C The Behavior of the Asymptotic Critical Parameters for ξξf\xi\leq\xi_{f}

In Section 3.2, it was observed that the critical triplet (αc,βc,Rec)\left(\alpha_{c},\beta_{c},Re_{c}\right) for ξξf\xi\leq\xi_{f} may or may not coincide with the asymptotic values (αf,βf,Ref)\left(\alpha_{f},\beta_{f},Re_{f}\right) at a given θ\theta. Despite this, the conclusion of our long-wavelength analysis in Section 3.4 seems to suggest that the latter parameters, particularly the wavenumbers, could still be of relevance within this range of wall speeds. To investigate this, we set θ=25\theta=25^{\circ} and ξ=0.1<ξf\xi=0.1<\xi_{f}, exploring in Figure 25 the growth rates ωi\omega_{i} of the most unstable mode for the critical (that is, as predicted by a standard parameter sweep) versus the asymptotic pair of wavenumbers. An interesting behavior is captured; whereas the former pair becomes unstable, as expected, at RecRe_{c}, the latter also eventually destabilizes, doing so precisely when Re=RefRe=Re_{f}. One can rationalize this by noting that (αf,βf)\left(\alpha_{f},\beta_{f}\right) induces a vanishing ξeff\xi_{\mathrm{eff}} in the Orr-Sommerfeld problem, ensuring that any dependence on the wall speed drops completely. Thus, the asymptotic wavenumber pair remains, in a sense, unaffected by changes in ξ\xi, and eventually coincides with the critical pair beyond ξξf\xi\geq\xi_{f}, when all other disturbances stabilize.

Refer to caption
Figure 25: The growth rates of the most unstable mode for the critical versus asymptotic wavenumbers at θ=25\theta=25^{\circ} and ξ=0.1<ξf\xi=0.1<\xi_{f}. The dashed line indicates the boundary ωi=0\omega_{i}=0.

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