The ultimate state of turbulent permeable-channel flow
Abstract
Direct numerical simulations have been performed for heat and momentum transfer in internally heated turbulent shear flow with constant bulk mean velocity and temperature, and , between parallel, isothermal, no-slip and permeable walls. The wall-normal transpiration velocity on the walls is assumed to be proportional to the local pressure fluctuations, i.e. (Jiménez et al., J. Fluid Mech., vol. 442, 2001, pp.89–117). The temperature is supposed to be a passive scalar, and the Prandtl number is set to unity. Turbulent heat and momentum transfer in permeable-channel flow for has been found to exhibit distinct states depending on the Reynolds number . At , the classical Blasius law of the friction coefficient and its similarity to the Stanton number, , are observed, whereas at , the so-called ultimate scaling, and , is found. The ultimate state is attributed to the appearance of large-scale intense spanwise rolls with the length scale of arising from the Kelvin–Helmholtz type of shear-layer instability over the permeable walls. The large-scale rolls can induce large-amplitude velocity fluctuations of as in free shear layers, so that the Taylor dissipation law (or equivalently ) holds. In spite of strong turbulence promotion there is no flow separation, and thus large-amplitude temperature fluctuations of can also be induced similarly. As a consequence, the ultimate heat transfer is achieved, i.e., a wall heat flux scales with (or equivalently ) independent of thermal diffusivity, although the heat transfer on the walls is dominated by thermal conduction.
keywords:
Turbulent mixing, Mixing enhancement, Turbulence simulation1 Introduction
One of the major issues in engineering and geophysics is to understand the effects of wall surface properties on heat and momentum transfer in turbulent shear flows. Turbulent flows over rough walls have been extensively investigated experimentally and numerically (see Jiménez, 2004). Surface roughness on a wall usually increases the drag thereon in comparison to a smooth wall. In the fully rough regime at high Reynolds numbers , the friction coefficient can be independent of as seen in the Moody diagram (Moody, 1944). The scaling corresponds to the Taylor dissipation law implying that the energy dissipation is independent of the kinematic viscosity . It is well known that in wall turbulence there exists a similarity between heat and momentum transfer, which can be empirically expressed as a relation between the Stanton number (i.e. a dimensionless wall heat flux) and the friction coefficient , viz. (Chilton & Colburn, 1934), where is the Prandtl number. In rough-wall flows, however, decreases as increases even in the fully rough regime where (Dipprey & Sabersky, 1963; Webb et al., 1971). This dissimilarity is a consequence of flow separation from roughness elements. In the fully rough regime at high (for ), the viscous sublayer separates from the roughness elements to yield pressure drag on the rough wall, whereas the thin thermal conduction layer without any vortices is stuck to the rough surface (MacDonald et al., 2019a).
The scaling in forced convection means that the wall heat flux is independent of the thermal diffusivity . It relates to the well known ultimate scaling (also implying the -independent wall heat flux) suggested by Spiegel (1963); Kraichnan (1962) for turbulent thermal convection at extremely high , where is the Nusselt number, and is the Rayleigh number. The ultimate scaling has been intensely disputed in turbulent Rayleigh–Bénard convection (see Ahlers et al., 2009; Chillà & Schumacher, 2012; Roche, 2020). In thermal convection, it has been found that wall roughness yields the scaling in the limited range of where the thermal conduction layer thickness is comparable to the size of the roughness elements (Zhu et al., 2017, 2019; MacDonald et al., 2019b). It is still an open question whether or not the ultimate scaling can actually be achieved at high or by introducing a specifically engineered surface in forced or thermal convection.
Recently, Kawano et al. (2021) have found that the ultimate heat transfer can be achieved in turbulent thermal convection between permeable walls. In their study, the wall-normal transpiration velocity on the wall is assumed to be proportional to the local pressure fluctuations. This permeable boundary condition was originally introduced by Jiménez et al. (2001) to mimic a Darcy-type porous wall with a constant-pressure plenum chamber underneath. They have investigated turbulent momentum transfer in permeable-channel flow, and found that the wall-transpiration leads to large-scale spanwise rolls over the permeable wall, significantly enhancing momentum transfer. By linear stability analyses, Jiménez et al. (2001) have clarified that the formation of the large-scale spanwise rolls originates from the Kelvin–Helmholtz type of shear-layer instability over the permeable wall. Such large-scale turbulence structures have been observed numerically and experimentally in shear flows over porous media (see e.g. Suga et al., 2018; Nishiyama et al., 2020).
In the present study, we investigate the scaling properties of heat and momentum transfer in turbulent channel flow with permeable walls and report that the wall-transpiration can bring about the ultimate state represented by the viscosity-independent dissipation as well as the diffusivity-independent heat flux .
2 Governing equations and numerical simulations
Let us consider turbulent heat and momentum transfer in internally heated shear flow between parallel, isothermal, no-slip and permeable walls. The coordinates, , and (or , and ) are used for the representation of the streamwise, the wall-normal and the spanwise directions, respectively. The origin of the coordinate system is on the midplane between the two walls positioned at . The corresponding components of the velocity are given by and (or and ), respectively. The temperature is supposed to be a passive scalar. The governing equations are the Navier–Stokes equations for the divergence-free velocity and the energy equation for the temperature,
(1) | |||||
(2) | |||||
(3) |
where is the fluctuating pressure with respect to the driving pressure , and and are the mass density, the kinematic viscosity, the thermal diffusivity and the specific heat at constant pressure of the fluid, respectively. Here, vector is a unit vector in the streamwise direction, and () and () are the spatially uniform driving force and internal heat source to maintain constant bulk mean velocity and temperature, and , respectively. The momentum equation (2) and the energy equation (3) are similar in the sense that they have the corresponding terms except for the (rightmost) pressure fluctuation term in (2). As a consequence, we can observe similarity between momentum and heat transfer in turbulent shear flows, although strong local pressure fluctuations occasionally bring about significant dissimilarity. The velocity and temperature fields are supposed to be periodic in the - and -directions with the periods, and . On the permeable wall the wall-normal velocity is assumed to be proportional to the local pressure fluctuation (Jiménez et al., 2001; Kawano et al., 2021). We impose the no-slip, permeable and isothermal conditions,
(4) |
on the walls, where () represents the ‘permeability’ parameter, and the impermeable conditions are recovered for , while implies zero pressure fluctuations and an unconstrained wall-normal velocity. Note that the pressure fluctuation with zero mean instantaneously ensures a zero net mass flux through the permeable wall. We anticipate the no-slip and permeable conditions (4) on a wall perforated with many fine holes connected to an adjacent constant-pressure plenum chamber (see the last paragraph in § 4 for the realistic configuration). Actually, we have confirmed that the mean and fluctuation velocities over the no-slip permeable wall are in good agreement with those observed experimentally (Suga et al., 2010) and numerically (Breugem et al., 2006) over a porous wall.
The flow is characterised by the bulk Reynolds number , the Prandtl number and the dimensionless permeability parameter . The wall heat flux and the wall shear stress are respectively quantified by the Stanton number and the friction coefficient defined as
(5) |
where and are the friction velocity and the friction temperature, respectively. Hereafter, and represent a plane-time (-) average and a volume-time (-) average, respectively.
We conduct direct numerical simulations (DNS) for turbulent heat and momentum transfer in shear flow between permeable walls. The present DNS code is based on the one developed for turbulent thermal convection between permeable walls (Kawano et al., 2021). The governing equations (1)–(3) are discretised employing the spectral Galerkin method based on the Fourier–Chebyshev expansions. Time advancement is performed with the aid of the implicit Euler scheme for the diffusion terms and a third-order Runge–Kutta scheme otherwise. In this paper, we present results obtained for (referred to as the impermeable case), (referred to as the less-permeable case) and (referred to as the permeable case), in all cases for . The simulations are carried out at – in periodic computational boxes of size . The spatial grid spacings are less than wall units in all the three directions, and the data are accumulated for the duration of more than wall units at .
3 Heat flux, shear stress and energy budget
In this section, we show the total heat flux, the total shear stress and the total energy budget in internally heated shear flow between permeable walls. We decompose the velocity and temperature into an -average and a fluctuation about it as and . Substituting the decompositions into (2) and (3), integrating their -averages with respect to , and supposing that the flow is statistically stationary, we obtain the total heat flux and the total shear stress, respectively,
(6) | |||||
(7) |
where stands for a time average. Note that the turbulent heat flux and the Reynolds shear stress have vanished on the walls () even in a permeable case due to the isothermal and no-slip conditions. Recalling in (5) and using (7) for , we have the balance between the friction drag and the driving force,
(8) |
By taking the -average of the inner product of the Navier–Stokes equation (2) with the velocity and taking account of the boundary conditions (4), we obtain the total energy budget equation
(9) |
where is the total energy dissipation rate per unit mass, and where we have used . The rightmost equality is given by (8). From (9) it can be seen that the effect of the wall-transpiration appears in two terms of the total energy budget. The second term on the left-hand side denotes the work done by pressure at the permeable walls. This term is strictly non-negative, being an energy sink. The third term represents outflow kinetic energy across the permeable walls. In the present DNS we have confirmed that the second term is at most of whereas the third term is less than of . Hence, it turns out that the introduction of the wall-transpiration does not bring about any extra energy inputs.



4 Results and discussion
Let us first examine the effects of the wall-transpiration on the Stanton number and the friction coefficient . Figure 1 shows and as a function of . In the impermeable case () the present DNS data are in good agreement with the numerical result obtained by Orlandi et al. (2015) for impermeable-channel flow in larger periodic domains at and at . As the wall-transpiration increases from to , not only the momentum transfer but the heat transfer are enhanced over the entire range of . In the less-permeable case (), and can be seen to scale with at – as in the impermeable case, and they exhibit close similarity between heat and momentum transfer, i.e. . In the permeable case (), on the other hand, the ultimate state, and , can be observed at , whereas the classical similar scaling appear at lower as in the impermeable and less-permeable cases.
Next, we present remarkable differences in the mean temperature and velocity profiles between the less-permeable case () and the permeable case (). The mean temperature and velocity profiles respectively normalised by the friction temperature and the friction velocity are shown as a function of the distance to the lower wall, , at – in figure 2. In the less-permeable case (figure 2a,c), the normalised mean temperature and velocity, and , as a function of do not depend on the Reynolds number, exhibiting the Prandtl wall law (including the logarithmic layer with the prefactor and intercept at ) commonly observed in wall turbulence. In the permeable case (figure 2b,d) at higher Reynolds numbers , on the other hand, the normalised mean temperature and velocity profiles represent significant -dependence at . As shown in figure 3(b,d), the normalised mean temperature and velocity, and , as a function of are nearly independent of in the bulk region in the permeable case at , differing from the known scaling property in wall turbulence (cf. figure 3a,c in the less-permeable case). However, since heat and momentum transfer on a permeable wall is dominated by thermal conduction and viscous diffusion due to the isothermal and no-slip boundary conditions as on an impermeable wall, all the profiles in the less-permeable and permeable cases in figure 2 collapse onto a single line in the linear sublayer .


Figure 4 shows the root-mean-square (RMS) temperature and the RMS streamwise and wall-normal velocities, and , respectively normalised by the friction temperature and the friction velocity as a function of . In the less-permeable case (figure 4a,c,e), the normalised RMS temperature and velocities, , and , as a function of are nearly independent of in the near-wall region, although their -dependence appears remarkably in the bulk region. The RMS temperature and streamwise velocity exhibit almost the same behaviour, suggesting similarity between heat and (streamwise) momentum transfer. These properties are consistent with those commonly observed in wall turbulence. In the permeable case (figure 4b,d,f), the similarity between and can also be confirmed (see b,d) as in the less-permeable case; however, , and as a function of exhibit marked -dependence even in the vicinity of the wall, being distinct from the scaling property observed in wall turbulence. As shown in figure 5(b,d,f), the normalised RMS temperature and velocities, and and , as a function of are almost independent of in the bulk region in the permeable case at , implying the significant promotion of turbulence of comparable orders with and (cf. figure 5a,c,e in the less-permeable case). In short, although conduction- and viscosity-dominated quiescence exists on the wall in the permeable case, intense turbulence is enhanced even in the close vicinity of the permeable wall at higher Reynolds numbers.


Let us now turn to turbulence structures over the permeable wall. Instantaneous flow and thermal structures are shown at and in the permeable case () in figure 6. The grey objects represent the small-scale vortex structures identified in terms of the positive isosurfaces of the second invariant of the velocity gradient tensor , and the dark grey objects show the high-temperature regions, . At , we detect almost the same turbulence structures as those commonly observed in wall turbulence. The streamwise vortices near the walls appear roughly homogeneously distributed in the wall-parallel directions. On the contrary, at (for which the ultimate state has been observed) very different large-scale turbulence structures in the form of spanwise-aligned rollers which are propagating downstream can be seen. The colour in the figures represents the level of the wall-normal velocity on the permeable walls, exhibiting strong coherence in the spanwise direction. The small-scale vortex structures cluster around the blowing region, whereas high temperature concentrates in the suction region. The vectors on the plane show the spanwise-averaged velocity fluctuations, , indicating large-scale spanwise rolls with the length scale comparable with the channel half width . This remarkable turbulence modulation originates from the Kelvin–Helmholtz type of shear-layer instability over a permeable wall (Jiménez et al., 2001).
By their linear stability analyses, Jiménez et al. (2001) have shown that the mean turbulent velocity profile in plane channel flow (including background eddy viscosity) can be unstable to infinitesimal disturbances of finite streamwise wavenumber over a permeable wall for the permeability parameter , being a critical value. The origin of this instability has been identified as the Kelvin–Helmholtz mechanism in a free shear layer by analytically relating an unstable eigensolution in piecewise-linear inviscid flow over a permeable (free-slip) plane of with the eigensolution of the Kelvin–Helmholtz instability at . Since the large-scale spanwise rolls in permeable-channel flow arise from the Kelvin–Helmholtz instability, they should exhibit similar properties to those of turbulence structures in free shear layers, such as a mixing layer or a jet. Now, in a self-similar turbulent mixing layer, large-scale spanwise vortical structures with a length scale comparable to the shear-layer thickness appear, inducing velocity fluctuations of the order of the velocity difference across the layer, such that the Taylor dissipation law holds (see e.g. Rogers & Moser, 1994). In the bulk region of turbulent permeable-channel flow, as in free shear layers, the large-scale rolls with a length scale (corresponding to the free-shear-layer thickness), which undergo the velocity difference of (corresponding to the velocity difference across the free shear layer), can induce velocity fluctuations of , as shown in figure 5 (d,f). Accordingly, the Taylor dissipation law can hold in this case, and the total energy budget equation (9) provides us with .
Figure 7 shows the spanwise-averaged instantaneous temperature and streamwise velocity in the viscous sublayer. The white isolines, – and –, indicate the thermal conduction layer and the (viscous) linear sublayer. Note that the null isolines cannot be observed except for the wall surface, implying no flow separation from the wall. At , the temperature and velocity distributions near the wall differ greatly from those at , and significantly large-amplitude temperature and velocity fluctuations are induced even in the close vicinity of the wall, . The near-wall low-temperature and low-velocity fluids are blown up from the permeable wall, while the high-temperature and high-velocity fluids are sucked towards the wall, inducing events with large turbulent heat flux and Reynolds shear stress. In spite of such significant enhancement of heat and momentum transfer, there is no flow separation over the permeable wall (see figure 7d) unlike in flows over a rough wall (see e.g. figure 10e in MacDonald et al., 2019a). This is because the build-up of high-pressure is counteracted by wall-transpiration in the case of a permeable wall. Pressure fluctuations and resulting flow separation yield dissimilarity between heat and momentum transfer as observed in a channel with surface roughness. In permeable-channel flow, however, the absence of flow separation implies the similarity between heat and momentum transfer. Therefore, heat transfer can also be enhanced by the large-scale spanwise rolls comparably with momentum transfer, so that temperature fluctuations are of the order of (see figure 5b). As a consequence, the wall-normal heat flux scales with , leading to the ultimate scaling .
Finally, following the argument in Kawano et al. (2021), we would like to suggest the possibility of the ultimate state in practical applications. Let us consider a wall perforated with many fine holes connected to an adjacent constant-pressure plenum chamber. On such a porous wall the fluid is expected to move into or out of the wall in the wall-normal direction through the holes, implying a nearly zero wall-parallel velocity component in the wall plane. Supposing the flow through the holes to be laminar Hagen–Poiseuille flow, the permeability parameter can be expressed rigorously as , and the dimensionless permeability parameter is given by
(10) |
where and represent the diameter of the holes and the thickness of the wall, respectively. Taking into consideration that all the pressure power on the permeable wall in channel flow should be consumed to drive the viscous flow in the holes, the mean velocity in the holes would be comparable with the RMS wall-normal velocity on the permeable wall (Kawano et al., 2021). Let us further suppose that the thickness of the porous wall is of the order of the channel half width . Substitution of in (10) yields . Thus, the porous wall with the geometry of and could be characterised by the permeability parameter at , where the ultimate state should be observed. The mean velocity in the holes could be estimated to be , since the RMS wall-normal velocity on the permeable wall is approximately 1% of at for (see figure 5f). At the Reynolds number of the flow in the holes, , is in the range , where the flow is laminar and can be expected to fulfill the ‘Darcy law’. Therefore, we believe that the ultimate state can be achieved in the above realistic wall-flow configuration.
5 Summary and outlook
We have investigated turbulent heat and momentum transfer numerically in internally heated permeable-channel flow with a constant bulk mean velocity and temperature, and , for . On the permeable walls at the wall-normal velocity is assumed to be proportional to the local pressure fluctuations, i.e. .
In the permeable channel (), we have found the transition of the scaling of the Stanton number and the friction coefficient from the Blasius empirical law to the ultimate state of and at the bulk Reynolds number . At , there are no significant changes in turbulence statistics or structures from the impermeable case (). The ultimate state found at is attributed to the appearance of large-scale spanwise rolls stemming from the Kelvin–Helmholtz type of shear-layer instability over the permeable wall. On the permeable wall surface the blowing and suction are excited by the Kelvin–Helmholtz wave which is roughly uniform in the spanwise direction. Near-wall low-temperature and low-velocity fluids are blown up from the permeable wall, while the high-temperature and high-velocity fluids are sucked towards the wall, largely producing the turbulent heat flux and the Reynolds shear stress. Such remarkable turbulence modulation extends to the close vicinity of the wall, . Unlike in the case of rough walls, there is no flow separation, so that heat transfer is enhanced in a way comparable to momentum transfer. The key to the achievement of the ultimate state in permeable-channel flow is the significant heat and momentum transfer enhancement without flow separation by large-scale spanwise rolls of the length scale of . The large-scale rolls can induce the large-amplitude velocity fluctuations of as in free shear layers and they can similarly induce the large-amplitude temperature fluctuations of , leading to the Taylor dissipation law (or equivalently ) and to the ultimate scaling (or equivalently ).
In this study the ultimate state has been achieved in internally heated permeable-channel flow for the permeability parameter and the streamwise period . If we consider a different thermal configuration, e.g. constant temperature difference between the permeable walls, the same large-scale rolls appear to induce large-amplitude temperature fluctuations of , so that the ultimate scaling should be achieved as well. Concerning the dependence of the ultimate state on and , our preliminary study has shown that a slight reduction to delays the onset of the ultimate state until and that the longer can occasionally accommodate the larger streamwise wavelength of the spanwise rolls, yielding the lower onset and the greater value of the prefactor in the ultimate scaling. A detailed examination is left for a future study.
Acknowledgements
We are grateful to Professsor M. Uhlmann for his useful comments on this paper. This work was supported by the Japanese Society for Promotion of Science (JSPS) KAKENHI Grant Numbers 19K14889 and 18H01370.
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