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Flow and Deformation due to Periodic Loading in a Soft Porous Material

Matilde Fiori Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK    Satyajit Pramanik Department of Mathematics, Indian Institute of Technology Guwahati, Guwahati – 781039, Assam, India    Christopher W. MacMinn Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK [email protected]
Abstract

Soft porous materials, such as biological tissues and soils, are exposed to periodic deformations in a variety of natural and industrial contexts. The detailed flow and mechanics of these deformations have not yet been systematically investigated. Here, we fill this gap by identifying and exploring the complete parameter space associated with periodic deformations in the context of a 1D model problem. We use large-deformation poroelasticity to consider a wide range of loading periods and amplitudes. We identify two distinct mechanical regimes, distinguished by whether the loading period is slow or fast relative to the characteristic poroelastic timescale. We develop analytical solutions for slow loading at any amplitude and for infinitesimal amplitude at any period. We use these analytical solutions and a full numerical solution to explore the localisation of the deformation near the permeable boundary as the period decreases and the emergence of nonlinear effects as the amplitude increases. We show that large deformations lead to asymmetry between the loading and unloading phases of each cycle in terms of the distributions of porosity and fluid flux.

I Introduction

Soft porous materials are common in nature and industry; examples include biological cells and soft tissues, soils and sediments, and paper products and fabrics. In many scenarios, these materials are exposed to periodic loading. For example, soft tissues in the body can experience pulsating loads from the surrounding blood vessels, or, on a larger scale, can be cyclically loaded during their basic mechanical function. The former scenario has attracted great interest recently as a potential driver of transport in brain tissue Franceschini et al. (2006); Kedarasetti et al. (2020); Bojarskaite et al. (2023) and the latter is important for load-bearing and transport in cartilage Zhang (2011); Riches et al. (2002); Mauck et al. (2003); Sengers et al. (2004); Ferguson et al. (2004); Schmidt et al. (2010); Di Domenico et al. (2017); Cacheux et al. (2022) and bone Piekarski and Munro (1977); Zhang and Cowin (1994); Manfredini et al. (1999); Nguyen et al. (2010); Witt et al. (2014). Periodic loads are also commonly applied in regenerative medicine to improve cell differentiation in scaffolds via mechanotransduction Mauck et al. (2000); Haj et al. (2009); Grenier et al. (2005); Butler et al. (2000); Gauvin et al. (2011); Peroglio et al. (2018); Kim et al. (1999); Amrollahi and Tayebi (2015). Soils and sediments experience periodic loading due to seismicity Genna and Cividini (1989); Li et al. (2004); Popescu et al. (2006); Bonazzi et al. (2021), vehicle traffic Hu et al. (2011); Ni et al. (2015); Ni and Geng (2022), and ocean waves and tides Yamamoto et al. (1978); Madsen (1978); Karim et al. (2002); Cheng (2016); Trefry et al. (2019). From a poromechanical point of view, periodic loading is fundamentally different from steady loading because the long-time response is inherently oscillatory and therefore time-dependent. Most previous work on periodic loading has focused on internal stress and/or pressure profiles, on macroscopic observables such as surface motion or net inflow or outflow, or on solute concentration profiles.

Periodic loading due to seismicity is a classical topic in poroelasticity Biot (1956a, b). Seismicity involves frequencies that are high enough for inertia to play a dominant role. As a result, seismic response is typically dominated by the propagation of compressional and shear acoustic waves (e.g., Biot, 1956a, b; Li et al., 2004; Gajo and Denzer, 2011; Liu et al., 2019). In contrast, ocean waves and tides are typically associated with a low enough frequency that inertia can be ignored (e.g., Yamamoto et al., 1978; Madsen, 1978; Cheng, 2016). Instead, these studies typically focus on the pressure and stress profiles within seabed sediments in response to periodic fluctuations in hydrostatic pressure. The sediment is usually taken to be semi-infinite, the associated deformations are assumed to be small, and the response is often dominated by compressibility. Tidal forcing in coastal aquifers often has similar features (e.g., Trefry et al., 2019).

Our primary motivation here is tissue mechanics, where inertia and compressibility are usually negligible but moderate to large deformations are common. In this regime, poroelasticity is physically diffusive with a characteristic poroelastic relaxation time. For bone and cartilage, linear poroelasticity has been used to model the macroscopic mechanical response and/or the distribution of pore pressure during small periodic deformations (e.g., Zhang and Cowin, 1994; Manfredini et al., 1999; Riches et al., 2002; Kameo et al., 2008; Yaogeng et al., 2018). Zhang and Cowin (1994) showed that the magnitude and distribution of pore pressure depend strongly on the loading period, introducing the ratio of the loading period to the poroelastic relaxation time as a key dimensionless control parameter. For cartilage and hydrogel scaffolds, both linear and nonlinear poroelasticity have been used to model the impact of periodic deformations on the transport of solutes, typically by comparing the concentration profile at the end of loading across a small set of different loading conditions (e.g., Mauck et al., 2003; Ferguson et al., 2004; Sengers et al., 2004; Gardiner et al., 2007; Urciuolo et al., 2008; Zhang, 2011; Vaughan et al., 2013). Several of these studies noted that faster loading (shorter loading period) is associated with larger fluid velocities that are localised near the surface, whereas slower loading (longer loading period) is associated with intermediate fluid velocities that penetrate more deeply Gardiner et al. (2007); Urciuolo et al. (2008); Kameo et al. (2008); Di Domenico et al. (2017); Vaughan et al. (2013). Gardiner et al. (2007) further noted that, for small deformations, the magnitude of the fluid velocity is roughly proportional to the loading amplitude, whereas the penetration depth is relatively insensitive to amplitude. Despite this extensive previous work, many basic features of flow and deformation due to periodic loading have not yet been systematically studied, in part because most of the above studies have focused on relatively narrow regions of the associated parameter space and/or on relatively small sets of specific results. For example, kinematic and constitutive nonlinearities (characteristic of large deformations and nonlinear constitutive behavior, respectively) become increasingly important as the amplitude grows, but the emergence of these nonlinearities has not been investigated. Moreover, the impact of the deformation on the magnitude and profile of the fluid flux — directly relevant to the transport of solutes— have not been examined.

Here, we study the periodic loading of a soft porous material over a wide range of loading periods (from very slow to very fast) and amplitudes (from infinitesimal to moderate/large) in the context of a simple one-dimensional model problem. Following MacMinn et al. (2016), our large-deformation poroelastic model is kinematically rigorous and includes both deformation-dependent permeability and nonlinear elasticity. We characterise the motion of the fluid and the solid throughout the loading cycle, focusing on the evolution of porosity and fluid flux, which are particularly relevant for the transport of solutes. We develop a series of analytical solutions that describe loading with small amplitude but arbitrary period (§III.2III.4) and loading with large period but arbitrary amplitude (§III.5). We then solve the full problem numerically and compare with our analytical results. We use these solutions to examine the transition from very slow loading to very fast loading and from infinitesimal to large amplitudes, as well as the role of the initial porosity. Finally, we discuss the relevance of these results to some specific biological and biomedical scenarios.

II Theoretical model

Our theoretical model is based on large-deformation poroelasticity (also referred to as biphasic theory in biomedical communities), here following the development in MacMinn et al. (2016).

II.1 Model problem

We consider a one-dimensional sample of soft porous material of relaxed length LL and relaxed porosity (fluid fraction) ϕf,0\phi_{f,0}. The left boundary of the material is permeable and located at x=a(t)x=a(t) (moving); the right boundary is impermeable and located at x=Lx=L (fixed in place) (figure 1).

Refer to caption
Figure 1: We consider a 1D sample of soft porous material of relaxed length LL, subject to a periodic, displacement-driven loading at its left boundary (white arrows). The left boundary is permeable, thus allowing fluid flow in or out (blue squiggles) to accommodate the loading. The right boundary is impermeable and fixed in place.

We impose a periodic, displacement-driven loading via the position of the left boundary,

a(t)=A2[1cos(2πtT)],a(t)=\frac{A}{2}\left[1-\cos\left(\frac{2\pi t}{T}\right)\right], (1)

where AA and TT are the amplitude and period of the loading, respectively. Macroscopically, the deformation is strictly compressive in the sense that a(t)0a(t)\geq{}0.

We consider deformations ranging from small to large macroscopic nominal strain (0.4%-0.4\% to 20%-20\% or 0.004A/L0.20.004\leq{}A/L\leq{}0.2), with commensurate macroscopic changes in bulk (total) volume. We assume that the fluid and the solid phases are individually incompressible, so that the total volume of solid is constant and any change in bulk volume must correspond to a change in total pore (fluid) volume via a rearrangement of the pore structure and an influx or an efflux of fluid at the left boundary.

II.2 Kinematics

We work in an Eulerian reference frame, in which the solid displacement field is 𝐮𝐬=𝐱𝐗(𝐱,t)\mathbf{u_{s}}=\mathbf{x}-\mathbf{X}(\mathbf{x},t), with 𝐗(𝐱,t)\mathbf{X}(\mathbf{x},t) the reference position of the material point that at time tt occupies the position 𝐱\mathbf{x}. We choose 𝐗(𝐱,0)𝐱\mathbf{X}(\mathbf{x},0)\equiv\mathbf{x} so that 𝐮𝐬(𝐱,0)=0\mathbf{u_{s}}(\mathbf{x},0)=0, in which case the reference configuration is the relaxed configuration. We denote the true volume fractions of fluid and solid by ϕf\phi_{f} and ϕs\phi_{s}, respectively, where ϕf+ϕs=1\phi_{f}+\phi_{s}=1. The flow and deformation are uniaxial, such that

𝐮𝐬=us(x,t)𝐞^𝐱,𝐯𝐬=vs(x,t)𝐞^𝐱,𝐯𝐟=vf(x,t)𝐞^𝐱,\mathbf{u_{s}}=u_{s}(x,t)\mathbf{\hat{e}_{x}},\;\mathbf{v_{s}}=v_{s}(x,t)\mathbf{\hat{e}_{x}},\;\mathbf{v_{f}}=v_{f}(x,t)\mathbf{\hat{e}_{x}}, (2)

where usu_{s}, vsv_{s}, and vfv_{f} are the xx-components of the solid displacement field and the solid and fluid velocity fields, respectively, and 𝐞^𝐱\mathbf{\hat{e}_{x}} is the unit vector in the xx-direction.

In 1D, the local state of deformation is fully characterised by the Jacobian determinant J=(1us/x)1J=(1-\partial{u_{s}}/\partial{x})^{-1}, which measures the local current volume per unit reference volume. For incompressible constituents and uniform initial porosity ϕf,0\phi_{f,0}, the local change in volume is linked to the change in porosity according to

J(x,t)=1ϕf,01ϕfusx=ϕfϕf,01ϕf,0.J(x,t)=\frac{1-\phi_{f,0}}{1-\phi_{f}}\quad\to\quad\frac{\partial{u_{s}}}{\partial{x}}=\frac{\phi_{f}-\phi_{f,0}}{1-\phi_{f,0}}. (3)

Continuity for this 1D system can be written

ϕft+x(ϕfvf)=0andϕftx[(1ϕf)vs]=0,\frac{\partial{\phi_{f}}}{\partial{t}}+\frac{\partial}{\partial{x}}(\phi_{f}v_{f})=0\quad\mathrm{and}\quad\frac{\partial{\phi_{f}}}{\partial{t}}-\frac{\partial}{\partial{x}}{[(1-\phi_{f})v_{s}]}=0, (4)

which together imply that the total flux q=ϕfvf+(1ϕf)vsq=\phi_{f}v_{f}+(1-\phi_{f})v_{s} is uniform in space, q/x=0\partial{q}/\partial{x}=0.

II.3 Darcy’s law

We assume that the movement of the fluid relative to the solid skeleton is described by Darcy’s law,

ϕf(vfvs)=k(ϕf)μpx,\phi_{f}(v_{f}-v_{s})=-\frac{k(\phi_{f})}{\mu}\frac{\partial{p}}{\partial{x}}, (5)

where k(ϕf)k(\phi_{f}) is the permeability of the solid skeleton, μ\mu is the dynamic viscosity of the fluid, and pp is the fluid (pore) pressure, and where we have neglected gravity. We have taken the permeability k(ϕf)k(\phi_{f}) to be a function of porosity only. For simplicity, we use a normalised Kozeny-Carman relation for deformation-dependent permeability MacMinn et al. (2016):

k(ϕf)=k0(1ϕf,0)2ϕf,03ϕf3(1ϕf)2,k(\phi_{f})=k_{0}\,\frac{(1-\phi_{f,0})^{2}}{\phi_{f,0}^{3}}\,\frac{\phi_{f}^{3}}{(1-\phi_{f})^{2}}, (6)

where k0k(ϕf,0)k_{0}\equiv{}k(\phi_{f,0}) is the reference permeability. Kozeny-Carman permeability is a common choice for gels and soft tissues Sacco et al. (2014); Malandrino et al. (2014); Rahbari et al. (2017); Gao and Cho (2022). We compare it with a simpler power-law formulation in Appendix A, showing that the two are qualitatively and quantitatively similar and are expected to produce similar behavior.

II.4 Fluid flow

Combining equations (4) and (5), we arrive at the nonlinear flow equations:

ϕft+x[ϕfq(1ϕf)k(ϕf)μpx]=0andqx=0,\frac{\partial{\phi_{f}}}{\partial{t}}+\frac{\partial}{\partial{x}}\bigg{[}{\phi_{f}q}-(1-\phi_{f})\frac{k(\phi_{f})}{\mu}\frac{\partial{p}}{\partial{x}}\bigg{]}=0\quad\mathrm{and}\quad\frac{\partial{q}}{\partial{x}}=0, (7)

where the total flux qq is again

qϕfvf+(1ϕf)vs.q\equiv\phi_{f}v_{f}+(1-\phi_{f})v_{s}. (8)

The fluid velocity and the solid velocity are then given by

vf=q1ϕfϕfk(ϕf)μpxandvs=q+k(ϕf)μpx.v_{f}=q-\frac{1-\phi_{f}}{\phi_{f}}\,\frac{k(\phi_{f})}{\mu}\frac{\partial{p}}{\partial{x}}\quad\mathrm{and}\quad v_{s}=q+\frac{k(\phi_{f})}{\mu}\frac{\partial{p}}{\partial{x}}. (9)

and the local fluid flux is

qf=ϕfvf.q_{f}=\phi_{f}v_{f}. (10)

II.5 Mechanical equilibrium

The true Cauchy total stress 𝝈\boldsymbol{\sigma} is supported jointly by the fluid phase and the solid phase. The total stress can be decomposed into a contribution from the fluid pressure pp and a contribution from Terzaghi’s effective stress 𝝈\boldsymbol{\sigma^{\prime}},

𝝈=𝝈p𝐈,\boldsymbol{\sigma}=\boldsymbol{\sigma^{\prime}}-p\mathbf{I}, (11)

where we adopt the sign convention of tension being positive. Neglecting inertia and body forces, mechanical equilibrium can be written

𝝈=𝝈p=0.\boldsymbol{\nabla}\cdot\boldsymbol{\sigma}=\boldsymbol{\nabla}\cdot\boldsymbol{\sigma^{\prime}}-\boldsymbol{\nabla}p=0. (12)

In 1D, equation (12) implies that

σx=px,\frac{\partial{\sigma^{\prime}}}{\partial x}=\frac{\partial{p}}{\partial{x}}, (13)

where σ\sigma^{\prime} is the xxxx component of 𝝈\boldsymbol{\sigma}^{\prime}.

II.6 Elasticity law

The effective stress is the portion of the total stress that contributes to deformation of the solid skeleton. We take the solid skeleton to be elastic, with no viscous or dissipative behaviours. For confined compression in 1D, as considered here, any elasticity law can be written in the form σ=σ(ϕf)\sigma^{\prime}=\sigma^{\prime}(\phi_{f}). Thus, equation (7) can be rewritten as a nonlinear advection-diffusion equation:

ϕft+x[ϕfqDf(ϕf)ϕfx]=0andqx=0,\frac{\partial{\phi_{f}}}{\partial{t}}+\frac{\partial}{\partial{x}}\bigg{[}{\phi_{f}q}-D_{f}(\phi_{f})\frac{\partial{\phi_{f}}}{\partial{x}}\bigg{]}=0\quad\mathrm{and}\quad\frac{\partial{q}}{\partial{x}}=0, (14)

where the nonlinear composite constitutive function

Df(ϕf)=(1ϕf)k(ϕf)μdσdϕfD_{f}(\phi_{f})=(1-\phi_{f})\frac{k(\phi_{f})}{\mu}\frac{\mathrm{d}\sigma^{\prime}}{\mathrm{d}\phi_{f}} (15)

is the poroelastic diffusivity.

Hencky elasticity is a simple nonlinear hyperelasticity model that considers logarithmic strains (“true strains” or “Hencky strains”) to capture kinematic nonlinearity Hencky (1931), and which is commonly used to model soft rubbers and foams Hencky (1933); Anand (1979); Xiao and Chen (2002) and sometimes for soft biological tissues Marchesseau et al. (2010); Fraldi et al. (2018). Hencky elasticity is convenient for our present purposes because (i) it reduces to linear elasticity for small strains and (ii) it uses the same two elastic parameters as linear elasticity. It is straightforward to replace Hencky elasticity in the present formulation with a different elastic behavior, such as a Neo-Hookean model, as appropriate for the problem/material of interest. Neo-Hookean elasticity is commonly used as a simple model for soft tissues (e.g. Ehlers et al. (2009); Sengers et al. (2004)); in the present context, we expect Hencky elasticity to provide a qualitatively similar mechanical response (see Appendix A).

For a uniaxial deformation, the relevant component of the effective stress tensor for Hencky elasticity is MacMinn et al. (2016); Auton and MacMinn (2018)

σ=ln(J)J=(1ϕf1ϕf,0)ln(1ϕf,01ϕf),\sigma^{\prime}=\mathcal{M}\frac{\ln(J)}{J}=\mathcal{M}\bigg{(}\frac{1-\phi_{f}}{1-\phi_{f,0}}\bigg{)}\ln\bigg{(}\frac{1-\phi_{f,0}}{1-\phi_{f}}\bigg{)}, (16)

where \mathcal{M} is the pp-wave or oedometric modulus. With appropriate initial and boundary conditions, Equations (14), (15), and (16) form a closed model for the evolution of the porosity.

II.7 Initial and boundary conditions

Finally, we specify appropriate initial and boundary conditions for the solid skeleton and for the fluid. As noted above, we locate the left and right boundaries of the solid at x=a(t)x=a(t) and x=Lx=L, respectively.

II.7.1 Initial conditions

Equation (1) suggests that a(0)=0a(0)=0. The solid is therefore initially relaxed and the initial porosity is uniform and equal to the relaxed porosity,

us(x,0)=0andϕf(x,0)=ϕf,0.u_{s}(x,0)=0\quad\mathrm{and}\quad\phi_{f}(x,0)=\phi_{f,0}. (17)

II.7.2 Left boundary

For t>0t>0, we apply a displacement-controlled mechanical loading at the left boundary, which is therefore a moving boundary (see equation 1). The associated boundary conditions are

us(a,t)=a(t)andvs(a,t)=dadt.u_{s}(a,t)=a(t)\quad\mathrm{and}\quad v_{s}(a,t)=\frac{\mathrm{d}a}{\mathrm{d}t}. (18a)
The left boundary is also permeable, so we take
p(a,t)=0.p(a,t)=0. (18b)

II.7.3 Right boundary

The right boundary is impermeable and fixed in place, such that

us(L,t)=vs(L,t)=vf(L,t)=0.u_{s}(L,t)=v_{s}(L,t)=v_{f}(L,t)=0. (19)

This condition and the requirement that qq be uniform in space (see the end of §II.2 and equation 7) together imply that q0q\equiv 0, meaning that there is no net flow through any cross-section. Equation (8) then requires that

vf=(1ϕf)ϕfvs,v_{f}=-\frac{(1-\phi_{f})}{\phi_{f}}v_{s}, (20)

meaning that the fluid and the solid always locally move in opposite directions.

II.8 Linear poroelasticity

For comparison with the fully nonlinear model, we linearise the relations above to arrive at linear poroelasticity, which is valid for infinitesimal deformations, (ϕfϕf,0)/(1ϕf,0)=us/x1(\phi_{f}-\phi_{f,0})/(1-\phi_{f,0})=\partial{u_{s}}/\partial{x}\ll{}1. In this limit, equation (7) reduces to the linear-poroelastic diffusion equation,

ϕftx(Df,0ϕfx)0,\frac{\partial{\phi_{f}}}{\partial{t}}-\frac{\partial}{\partial{x}}\bigg{(}D_{f,0}\frac{\partial{\phi_{f}}}{\partial{x}}\bigg{)}\approx 0, (21)

where Hencky elasticity reduces to linear elasticity,

σusx=(ϕfϕf,01ϕf,0),\sigma^{\prime}\approx\mathcal{M}\,\frac{\partial{u_{s}}}{\partial{x}}=\mathcal{M}\left(\frac{\phi_{f}-\phi_{f,0}}{1-\phi_{f,0}}\right), (22)

and Df,0=k0/μD_{f,0}=k_{0}\mathcal{M}/\mu is the constant linear-poroelastic diffusivity. With appropriate initial and boundary conditions, Equation (21) is a closed linear model for the evolution of the porosity.

In the linear poroelastic model, the initial conditions and the boundary conditions for the right boundary are again equations (17) and (19), respectively. The linearised boundary conditions for the left boundary are

us(0,t)a(t)andvs(0,t)dadt,u_{s}(0,t)\approx a(t)\quad\mathrm{and}\quad v_{s}(0,t)\approx\frac{\mathrm{d}a}{\mathrm{d}t}, (23)

where a(t)a(t) is again given by equation (1). Note that these conditions are linearized relative to equations (18) by virtue of being applied at x=0x=0 rather than at x=a(t)x=a(t).

II.9 Scaling and summary

We make the above problem dimensionless via the scaling

x~=xL,u~s=usL,t~=tTpe,σ~=σ,p~=p,k~=k(ϕ)k0,v~f=vfL/Tpe,v~s=vsL/Tpe,\begin{split}\tilde{x}=\frac{x}{L},\;\tilde{u}_{s}=\frac{u_{s}}{L},\;\tilde{t}=\frac{t}{T_{\mathrm{pe}}},\;\tilde{\sigma}^{\prime}=\frac{\sigma^{\prime}}{\mathcal{M}},\;\tilde{p}=\frac{p}{\mathcal{M}},\;\tilde{k}=\frac{k(\phi)}{k_{0}},\;\tilde{v}_{f}=\frac{v_{f}}{L/T_{\mathrm{pe}}},\;\tilde{v}_{s}=\frac{v_{s}}{L/T_{\mathrm{pe}}},\end{split} (24)

where Tpe=L2/Df,0=μL2/(k0)T_{\mathrm{pe}}=L^{2}/D_{f,0}=\mu{}L^{2}/(k_{0}\mathcal{M}) is the classical poroelastic timescale, which is the characteristic diffusion time for the relaxation of pressure over a distance LL. Now taking q0q\equiv{}0, as required by the boundary conditions (see §II.7.3), the nonlinear flow equation can be rewritten in dimensionless form as

ϕft~x~[D~f(ϕf)ϕfx~]=0\frac{\partial{\phi_{f}}}{\partial{\tilde{t}}}-\frac{\partial}{\partial{\tilde{x}}}\bigg{[}\tilde{D}_{f}(\phi_{f})\frac{\partial{\phi_{f}}}{\partial{\tilde{x}}}\bigg{]}=0 (25)

with nonlinear-poroelastic diffusivity

D~f=DfDf,0=(1ϕf)k~(ϕf)dσ~dϕf,\tilde{D}_{f}=\frac{D_{f}}{D_{f,0}}=(1-\phi_{f})\tilde{k}(\phi_{f})\frac{\mathrm{d}\tilde{\sigma}^{\prime}}{\mathrm{d}\phi_{f}}, (26)

elasticity law

σ~=(1ϕf1ϕf,0)ln(1ϕf,01ϕf),\tilde{\sigma}^{\prime}=\bigg{(}\frac{1-\phi_{f}}{1-\phi_{f,0}}\bigg{)}\ln\bigg{(}\frac{1-\phi_{f,0}}{1-\phi_{f}}\bigg{)}, (27)

initial conditions

a~(0)=0,ϕf(x~,0)=ϕf,0,v~f(x~,0)=v~s(x~,0)=0,\tilde{a}(0)=0,\;\phi_{f}(\tilde{x},0)=\phi_{f,0},\;\tilde{v}_{f}(\tilde{x},0)=\tilde{v}_{s}(\tilde{x},0)=0, (28)

left boundary conditions

u~s(a~,t~)=a~(t~)=A~2[1cos(2πt~T~)],v~s(a~,t~)=da~dt~,andp~(a~,t~)=0,\tilde{u}_{s}(\tilde{a},\tilde{t})=\tilde{a}(\tilde{t})=\frac{\tilde{A}}{2}\Bigg{[}1-\cos\left(\frac{2\pi\tilde{t}}{\tilde{T}}\right)\Bigg{]}\,,\,\,\tilde{v}_{s}(\tilde{a},\tilde{t})=\frac{\mathrm{d}\tilde{a}}{\mathrm{d}\tilde{t}}\,,\,\,\mathrm{and}\quad\tilde{p}(\tilde{a},\tilde{t})=0, (29)

and right boundary conditions

u~s(1,t~)=v~s(1,t~)=v~f(1,t~)=0,\tilde{u}_{s}(1,\tilde{t})=\tilde{v}_{s}(1,\tilde{t})=\tilde{v}_{f}(1,\tilde{t})=0, (30)

where A~=A/L\tilde{A}=A/L and T~=T/Tpe\tilde{T}=T/T_{\mathrm{pe}}. We consider only dimensionless quantities below, dropping the tildes for convenience.

The above 1D model describes flow and mechanics in a poroelastic material subject to periodic loading. The kinematics are rigorous and nonlinear, the elasticity law is Hencky elasticity, and the permeability law is the Kozeny-Carman relation. The full and linearised problems share the same three dimensionless control parameters: the dimensionless amplitude and period of the loading, AA and TT, and the relaxed porosity ϕf,0\phi_{f,0}.

III Analytical solutions

We next develop three different analytical solutions to the linear-poroelastic problem, which are valid for small deformations (A1A\ll{}1), and to the full problem for slow deformations (T1T\gg{}1) at any amplitude (i.e., the quasi-static limit). As formulated in §II.8, the linear-poroelastic problem implies linearised kinematics, linear elasticity, and constant permeability, and thus a constant and uniform poroelastic diffusivity. We also solve the full problem numerically in general.

III.1 Average porosity

We begin by deriving some basic kinematic results for the average porosity. The macroscopic total volume at any instant is 1a(t)1-a(t), whereas the total volume of solid is constant and equal to 1ϕf,01-\phi_{f,0}. As a result, the total volume of fluid is ϕf,0a(t)\phi_{f,0}-a(t) and the spatially averaged porosity is

ϕf(t)=ϕf,0a(t)1a(t).\langle\phi_{f}\rangle(t)=\frac{\phi_{f,0}-a(t)}{1-a(t)}. (31)

The average of ϕf(t)\langle\phi_{f}\rangle(t) in time over any integer number of loading cycles is then

ϕf¯=1mTnT(n+m)Tϕfdt=11ϕf,01A\langle\overline{\phi_{f}}\rangle=\frac{1}{mT}\int_{nT}^{(n+m)T}\langle{\phi_{f}}\rangle\,\mathrm{d}t=1-\frac{1-\phi_{f,0}}{\sqrt{1-A}} (32)

for any n0n\geq 0 and integer m1m\geq 1. Note that both the spatial and overall averages are negative because the loading has a nonzero mean (i.e., a¯=A/2\bar{a}=A/2), so the material is on average compressed.

III.2 Linear poroelasticity: Early-time solution

The linear problem posed in section II.8 can be rewritten as a bounded linear diffusion problem for the displacement. When the loading begins, information about the motion of the left boundary propagates into the domain via poroelastic diffusion. At early times, before this information has had time to reach the right boundary, the response is the same as if the material were semi-infinite in the xx direction. The corresponding semi-infinite diffusion problem involves applying the right boundary conditions at xx\to\infty. This early-time (“et\mathrm{et}”) solution can be derived via Laplace transform and written as a convolution integral,

us,et(x,t)=πAT0terfc(x2τ)sin[2π(tτ)T]dτ.u_{s,\mathrm{et}}(x,t)=\frac{\pi{}A}{T}\int_{0}^{t}\,\mathrm{erfc}\left(\frac{x}{2\sqrt{\tau}}\right)\sin\left[\frac{2\pi(t-\tau)}{T}\right]\,\mathrm{d}\tau. (33)

The corresponding porosity field can be derived from equation (33) via equation (3), and is given by

ϕf,et(x,t)=ϕf,0(1ϕf,0)πAT0t1πτexp(x24τ)sin[2π(tτ)T]dτ.{\phi_{f,\mathrm{et}}}(x,t)=\phi_{f,0}-(1-\phi_{f,0})\frac{\pi{}A}{T}\int_{0}^{t}\,\frac{1}{\sqrt{\pi\tau}}\exp\left(-\frac{x^{2}}{4\tau}\right)\sin\left[\frac{2\pi(t-\tau)}{T}\right]\,\mathrm{d}\tau. (34)

This solution is valid until the deformation spans the domain. Introducing the penetration length δet(t)\delta_{\mathrm{et}}(t) as the distance from the left boundary over which the change in porosity has exceeded a threshold, the nature of the problem and the structure of the solution suggest that δet(t)2t\delta_{\mathrm{et}}(t)\sim{}2\sqrt{t}. We confirm this reasoning in Appendix B. Thus, the above solution is valid for δet1t1/4\delta_{\mathrm{et}}\lesssim{}1\,\to\,t\lesssim{}1/4.

Having originated from linear poroelasticity, the above solution is limited to small deformations (A1A\ll 1). Naively, this solution is valid for any loading period TT; however, sufficiently small values of TT also violate the assumption of small deformations because deformation of size A\sim{}A are localised to a region of size δet(t)\sim\delta_{\mathrm{et}}(t) at early times. As a result, we expect the maximum strain near the left boundary to be roughly of size max[a(t)/δet(t)]A/T\mathrm{max}[a(t)/\delta_{\mathrm{et}}(t)]\sim{}A/\sqrt{T}. More precisely, equation (34) can be used to show that the extreme values of ϕf,et{\phi_{f,\mathrm{et}}} will always occur at the left boundary and that the evolution of ϕf,et{\phi_{f,\mathrm{et}}} at the left boundary is given by

ϕf,et(0,t)=ϕf,0(1ϕf,0)AπT(t/T),{\phi_{f,\mathrm{et}}}(0,t)=\phi_{f,0}-(1-\phi_{f,0})A\sqrt{\frac{\pi}{T}}\,\,\mathcal{I}(t/T), (35)

where

(y)=C(2y)sin(2πy)S(2y)cos(2πy)\mathcal{I}(y)=C(2\sqrt{y})\sin(2\pi{}y)-S(2\sqrt{y})\cos(2\pi{}y) (36)

and CC and SS are the Fresnel cosine and sine integrals, respectively. The extreme values of ϕf,et{\phi_{f,\mathrm{et}}} are then given by

min(ϕf,et)=ϕf,0(1ϕf,0)AπTmax,\mathrm{min}({\phi_{f,\mathrm{et}}})=\phi_{f,0}-(1-\phi_{f,0})A\sqrt{\frac{\pi}{T}}\,\,\mathcal{I}_{\mathrm{max}}, (37)

and

max(ϕf,et)=ϕf,0(1ϕf,0)AπTmin,\mathrm{max}({\phi_{f,\mathrm{et}}})=\phi_{f,0}-(1-\phi_{f,0})A\sqrt{\frac{\pi}{T}}\,\,\mathcal{I}_{\mathrm{min}}, (38)

where max=(698/1909)0.9491\mathcal{I}_{\mathrm{max}}=\mathcal{I}(698/1909)\approx{}0.9491 and min=(310/353)0.5406\mathcal{I}_{\mathrm{min}}=\mathcal{I}(310/353)\approx{}-0.5406 are the maximum and minimum values of \mathcal{I}, respectively. Strictly, the above solution is non-physical for parameter combinations for which the porosity decreases to 0 or increases to 1, corresponding to min(ϕf,et)=0\mathrm{min}({\phi_{f,\mathrm{et}}})=0 and max(ϕf,et)=1\mathrm{max}({\phi_{f,\mathrm{et}}})=1, respectively. In practise, these solutions become inaccurate for much less extreme parameter combinations as kinematic and constitutive nonlinearities become increasingly important. Hewitt et al. (2016) showed that very fast monotonic compression of a soft porous material can lead to extreme localisation near the piston in the form of a “bloated” low-porosity boundary layer, the formation and evolution of which depends sensitively on the particular constitutive functions k(ϕf)k(\phi_{f}) and σ(ϕf)\sigma^{\prime}(\phi_{f}). We avoid these extreme loading conditions in the present study, focusing instead on scenarios that are likely to have more biological relevance. The above results confirm that the maximum local strain is indeed of size A/TA/\sqrt{T}, suggesting that the above solution and the linear model in general are valid for ATA\ll{}\sqrt{T}. A similar condition can be derived by noting that, in the linear-poroelastic case, the boundary conditions at the left are applied at x=0x=0 rather than at x=a(t)x=a(t) (see eq. 23). Thus, the validity of the linear-poroelastic model requires that the error in this linearisation, which is A\sim{}A, must be negligible relative to the poroelastic diffusion length associated with the deformation, which is T\sim\sqrt{T}.

III.3 Linear poroelasticity: Full solution

The original bounded linear diffusion problem can be solved analytically via separation of variables. The resulting linear-poroelastic (“lpe\mathrm{lpe}”) displacement field is

us,lpe(x,t)=a(t)(1x)n=12Asin(nπx)[2en2π2t2cos(2πtT)+n2πTsin(2πtT)]nπ(4+n4π2T2).u_{s,\mathrm{lpe}}(x,t)=a(t)(1-x)-\sum_{n=1}^{\infty}2A\sin{(n\pi x)}\frac{[2e^{-n^{2}\pi^{2}t}-2\cos{(\frac{2\pi t}{T})}+n^{2}\pi T\sin{(\frac{2\pi t}{T})}]}{n\pi(4+n^{4}\pi^{2}T^{2})}. (39)

The corresponding porosity field can be derived from equation (39) via equation (3) and is given by

ϕf,lpe(x,t)=ϕf,0(1ϕf,0){a(t)+n=12Acos(nπx)[2en2π2t2cos(2πtT)+n2πTsin(2πtT)](4+n4π2T2)}.\phi_{f,\mathrm{lpe}}(x,t)=\phi_{f,0}-(1-\phi_{f,0})\left\{a(t)+\sum_{n=1}^{\infty}2A\cos{(n\pi x)}\frac{[2e^{-n^{2}\pi^{2}t}-2\cos{(\frac{2\pi t}{T})}+n^{2}\pi T\sin{(\frac{2\pi t}{T})}]}{(4+n^{4}\pi^{2}T^{2})}\right\}. (40)

The corresponding fluid velocity field can be derived by taking the time derivative of equation (39) to obtain the solid velocity and then using equation (20) to arrive at

vf,lpe(x,t)=(1ϕf,0)ϕf,0{a˙(t)(1x)n=14Asin(nπx)[n2πen2π2t+2Tsin(2πtT)+n2πcos(2πtT)]n(4+n4π2T2)}.v_{f,\mathrm{lpe}}(x,t)=-\frac{(1-\phi_{f,0})}{\phi_{f,0}}\left\{\dot{a}(t)(1-x)-\sum_{n=1}^{\infty}4A\sin{(n\pi x)}\frac{[-n^{2}\pi e^{-n^{2}\pi^{2}t}+\frac{2}{T}\sin{(\frac{2\pi t}{T})}+n^{2}\pi\cos{(\frac{2\pi t}{T})}]}{n(4+n^{4}\pi^{2}T^{2})}\right\}. (41)

Like the early-time solution, this solution provides a good approximation for A1A\ll 1 and for ATA\ll{}\sqrt{T}. Also like the early-time solution, this solution provides general insight into the poromechanical response of the system to periodic loading. The expression for ϕf,lpe{\phi_{f,\mathrm{lpe}}} can be divided into three parts:

  1. 1.

    a uniform quasi-static part proportional to a(t)a(t), which is the linearised form of the nonlinear quasi-static solution derived below;

  2. 2.

    an early-time transient that decays exponentially in time at a rate that is independent of AA and TT; and

  3. 3.

    a periodic forced response with period TT.

The early-time transient captures the early-time solution derived above, which spans the domain after a time t1/4t\approx{}1/4 and then decays exponentially relative to the periodic forced response that dominates the solution thereafter. Going forward, we focus on this periodic regime. We show in Appendix C that the same reasoning also applies for large deformations.

III.4 Linear poroelasticity: Response to very fast loading (Stokes’ second problem)

As noted above, the response at early times will be confined to a region of size t\sim\sqrt{t}, spreading diffusively until the entire domain is engaged, at which point the response will evolve exponentially toward its periodic regime. However, the oscillations in the periodic regime will be confined to a region of size T\sim\sqrt{T} (or A\sim{}A if larger, but recall that linear poroelasticity requires that ATA\ll{}\sqrt{T}). Thus, if the period is sufficiently small (i.e., T1\sqrt{T}\ll 1), the material near the piston will oscillate while the far field exists in a state of static compression. This response to very fast loading is well known from Stokes’s classical “second problem”, in which oscillations diffuse into a semi-infinite domain with an amplitude that decays exponentially in space, much like an evanescent wave. The corresponding analytical solution to linear poroelasticity for the periodic response to very fast loading (“vf\mathrm{vf}”) is

us,vf(x,t)=A2[1xexp(xπT)cos(2πtTxπT)]u_{s,\mathrm{vf}}(x,t)=\frac{A}{2}\left[1-x-\exp\left(-x\sqrt{\frac{\pi}{T}}\right)\cos\left(\frac{2\pi{}t}{T}-x\sqrt{\frac{\pi}{T}}\right)\right] (42)

and

ϕf,vf(x,t)=ϕf,0(1ϕf,0)A2{1πTexp(xπT)[cos(2πtTxπT)sin(2πtTxπT)]},\begin{split}\phi_{f,\mathrm{vf}}(x,t)=\phi_{f,0}-(1-\phi_{f,0})\frac{A}{2}\bigg{\{}1-&\sqrt{\frac{\pi}{T}}\exp\left(-x\sqrt{\frac{\pi}{T}}\right)\\ &\left[\cos\left(\frac{2\pi{}t}{T}-x\sqrt{\frac{\pi}{T}}\right)-\sin\left(\frac{2\pi{}t}{T}-x\sqrt{\frac{\pi}{T}}\right)\right]\bigg{\}},\end{split} (43)

where the first two terms in us,vfu_{s,\mathrm{vf}} and in ϕf,vf\phi_{f,\mathrm{vf}} give the static far-field compression, which is also the (linearised) overall mean compression. This solution confirms that the oscillations will be increasingly localised near the piston as TT decreases, featuring near-piston oscillations with an amplitude proportional to 1/T1/\sqrt{T} that decay exponentially in space over a characteristic distance T\sqrt{T}. This solution is illustrated and discussed further in Appendix B.

III.5 Response to very slow loading (quasi-static solution)

In the full linear-poroelastic solution above, the porosity and displacement fields (equations 39 and 40) converge to the quasi-static limits ϕf,lpe(x,t)ϕf,0(1ϕf,0)a(t){\phi_{f,\mathrm{lpe}}}(x,t)\to\phi_{f,0}-(1-\phi_{f,0})a(t) and us,lpea(t)(1x)u_{s,\mathrm{lpe}}\to{}a(t)(1-x) as TT\to\infty. This limit is a uniform state of strain in which poroelastic transients are fast relative to the loading period, and are therefore negligible. The fully nonlinear problem can be solved analytically in the same limit by taking ϕf/t0\partial{\phi_{f}}/\partial{t}\to{}0. The resulting quasi-static (“qs\mathrm{qs}”) solution is

us,qs(x,t)=a(t)1a(t)(1x),u_{s,\mathrm{qs}}(x,t)=\frac{a(t)}{1-a(t)}(1-x), (44)
ϕf,qs(t)=ϕf,0a(t)1a(t),{\phi_{f,\mathrm{qs}}}(t)=\frac{\phi_{f,0}-a(t)}{1-a(t)}, (45)

and

vf,qs(x,t)=[1ϕf,0ϕf,0a(t)]{1x[1a(t)]2}a˙(t).v_{f,\mathrm{qs}}(x,t)=-\left[\frac{1-\phi_{f,0}}{\phi_{f,0}-a(t)}\right]\left\{\frac{1-x}{[1-a(t)]^{2}}\right\}\dot{a}(t). (46)

This solution is kinematically exact for arbitrarily large values of AA, but is only valid for T1T\gg{}1. Note that this expression for Δϕf,qs\Delta{\phi_{f,\mathrm{qs}}} is the same as the one in equation (31) for ϕf(t)\langle{\phi_{f}}\rangle(t) because the quasi-static porosity is spatially uniform and must therefore be equal to the average porosity.

III.6 Scaling quantities

In the absence of a net flow, fluid motion is directly related to changes in porosity. Hence, we present our solutions and results below in terms of the change in porosity with respect to the overall average porosity,

Δϕfϕfϕf¯.\Delta{\phi_{f}}\equiv\phi_{f}-\langle\overline{{\phi_{f}}}\rangle. (47)

This mean change in porosity accounts for the non-zero mean compression.

The various results above suggest simple scaling relationships for the magnitudes of Δϕf\Delta{\phi_{f}} and vfv_{f} in terms of the dimensionless control parameters AA and TT. In particular, the magnitude of Δϕf\Delta{\phi_{f}} is captured by the spatially averaged change in porosity at mid-cycle,

ΔϕfM=|Δϕf(T/2)|=ϕf,0A1Aϕf¯.\Delta\phi_{f}^{M}=\big{|}\langle{\Delta\phi_{f}}\rangle(T/2)\big{|}=\frac{\phi_{f,0}-A}{1-A}-\langle\overline{\phi_{f}}\rangle. (48)

The quasi-static solution suggests that appropriate scales for the magnitude of the solid and fluid velocity are

vs=2AT,v_{s}^{\ast}=\frac{2A}{T}, (49)

and

vf=(1ϕf,0ϕf,0)2AT.v_{f}^{\ast}=\bigg{(}\frac{1-\phi_{f,0}}{\phi_{f,0}}\bigg{)}\frac{2A}{T}. (50)

An appropriate scale for the fluid flux is therefore

qf=ϕf,0vf.q_{f}^{\ast}=\phi_{f,0}v_{f}^{\ast}. (51)

IV Numerical solution

We solve the full nonlinear problem (§II.9) numerically in MATLAB using a Chebyshev spectral method in space and an implicit Runge-Kutta method in time, as described in more detail in Appendix D. In Figure 2, we illustrate the basic phenomenology of the response of a high-porosity material (ϕf,0=0.75\phi_{f,0}=0.75) to periodic loading at large amplitude (A=0.2A=0.2) and moderate period (T=0.3πT=0.3\pi) for one cycle in the periodic regime.

Refer to caption
Figure 2: Response of a high-porosity material (ϕf,0=0.75\phi_{f,0}=0.75) to periodic loading at high amplitude (A=0.2A=0.2) and moderate period (T=0.3πT=0.3\pi). In the first two rows, we show the evolution of usu_{s}, Δϕf\Delta\phi_{f}, vsv_{s}, and vfv_{f} (all normalised) at times t=nTt=nT to (n+1)T(n+1)T in increments of 0.1T0.1T (dark to light) during one cycle in the periodic regime, where nn is an integer. In the first two rows, we plot all fields against the Lagrangian spatial coordinate X=xus(x,t)X=x-u_{s}(x,t) for visual clarity. In the left column of the third row, we plot σ\sigma^{\prime} against tt at fixed values of XX from 0 to 11 (dark to light). In the right column of the third row, we plot a phase portrait of σ(a,t)\sigma^{\prime}(a,t) against a(t)a(t) for t=0t=0 to t=20Tt=20T, emphasising the last cycle (dotted black). In all plots but the lower right panel, we distinguish between the loading half of the cycle (a˙(t)>0\dot{a}(t)>0; solid curves) and the unloading half of the cycle (a˙(t)<0\dot{a}(t)<0; dashed curves).

All quantities considered — displacement, change in porosity, solid velocity, fluid velocity, and effective stress — are largest in magnitude at the left boundary, where the material is forced, and smallest in magnitude at the right boundary, where the material is stationary, with a magnitude envelope that decreases monotonically from left to right. The displacement and both velocities vanish at the right boundary, as required. Note that these features depend greatly on the boundary conditions for both the solid and the fluid. The flow and deformation will focus toward boundaries where inflow and outflow are permitted, which here is the left side. Reversing the permeability of the two boundaries (i.e., an impermeable moving boundary and a permeable fixed boundary) would instead focus the flow and deformation toward the right side, roughly reversing the spatial profile of Δϕf\Delta{\phi_{f}} and producing a much more uniform profile of vfv_{f}. However, the latter scenario is identical to the present one when viewed from a moving frame that follows the left boundary, x=1+a(t)xx^{\prime}=1+a(t)-x.

The third row of figure 2 shows the normalised effective stress σ/A\sigma^{\prime}/A. The left column shows that the response is out of phase with the loading, with a phase shift that varies with XX. For example, the stress at the left boundary leads the motion of the left boundary by about 0.15T0.15T (i.e., the moment of maximum |σ(a,t)||\sigma^{\prime}(a,t)| occurs about 0.15T0.15T before the moment of maximum a(t)a(t)), whereas the stress at the right boundary lags the motion of the left boundary by a similar amount. In addition, the material near the left boundary experiences strong compression during most of the loading phase (σ<0\sigma^{\prime}<0 for a˙>0\dot{a}>0) and mild tension during much of unloading (σ>0\sigma^{\prime}>0 for a˙<0\dot{a}<0). This hysteresis is highlighted by the large area enclosed by the loop in the phase portrait (right column), and it originates in the strong role of viscous dissipation during moderate to fast loading.

Most of the features illustrated in figure 2 are qualitatively consistent with linear poroelasticity, although the quantitative accuracy of linear poroelasticity depends on the deformation parameters as discussed in the next section. A key qualitative feature introduced by nonlinearity is that the response during loading is not necessarily symmetric with the response during unloading. For example, the minimum values of Δϕf(a,t)\Delta{\phi_{f}}(a,t) and vf(a,t)v_{f}(a,t) are much larger in magnitude than their maximum values and the stress loop is not symmetric about any axis. We explore this asymmetry in more detail in §V.

IV.1 Comparison with analytical solutions

We next compare the numerical solution to the linear-poroelastic and nonlinear quasi-static analytical solutions described in §III, each of which is appropriate for a specific range of AA and TT. The aim of this comparison is to quantify these ranges of validity and to examine the convergence of the numerical results to each of these special cases. To do so, we calculate all three solutions over a wide range of AA and TT and then calculate the root-mean-square (RMS) relative difference between the numerical and linear-poroelastic solutions (figure 3), and between the numerical and nonlinear quasi-static solutions (figure 4). We calculate these differences using ϕf(a,t)\phi_{f}(a,t) during one cycle in the periodic regime. In both figures, we plot these differences against TT for several values of AA (left panels) and then against AA for several values of TT (right panels).

Refer to caption
Figure 3: Root-mean-square relative difference between the full numerical solution and the linear-poroelastic analytical solution (from equation 40) based on ϕf(a,t)\phi_{f}(a,t) during one cycle in the periodic regime. On the left, we plot the difference against TT for fixed values of AA ranging from 0.020.02 to 0.20.2 (dark to light). On the right, we plot the same difference against AA for fixed values of TT ranging from 0.001π0.001\pi to 10π10\pi (dark to light).

As expected, figure 3 shows good agreement between the numerical and linear-poroelastic solutions for small deformations, worsening as AA increases. The difference scales with A2A^{2} for a given value of TT (right panel), as expected from linear poroelasticity, which is first-order in strain. The difference is insensitive to TT for T1T\gtrsim{}1, but scales as T1T^{-1} for faster periods. Decreasing TT leads to increasingly strong localisation at the left boundary, and hence increasingly large deformations, even for small AA, as expected from the early-time and very-fast analyses above (§III.2III.4). We explore this localisation in more detail in §V.

Refer to caption
Figure 4: Root-mean-square relative difference between the full numerical solution and the nonlinear quasi-static solution (from equation 45) based ϕf(a,t)\phi_{f}(a,t) during one cycle in the periodic regime. On the left, we plot the difference against TT for fixed values of AA ranging from 0.020.02 to 0.20.2 (dark to light). On the right, we plot the same difference against AA for fixed values of TT ranging from 0.001π0.001\pi to 10π10\pi (dark to light).

As expected, figure (4) shows good agreement between the numerical and nonlinear quasi-static solutions for large periods, worsening as TT decreases. The difference scales with T1T^{-1} for T1T\gtrsim{}1 and with T1/2T^{-1/2} for shorter periods (left panel); The difference also scales with AA (right panel), consistent with the scaling of the non-quasi-static terms in equation (40). Based on these results, we distinguish between “slow loading” (SL; T0.1πT\lesssim{}0.1\pi), where spatial variations in porosity are relatively small, and “fast loading” (FL; TπT\gtrsim{}\pi), where spatial variations in porosity are relatively large. For very slow loading (T1T\gg{}1), the porosity is uniform and the response is quasi-static (see §III.5). For very fast loading (T1T\ll{}1), the oscillations are localised near the left boundary and the right portion of the material is in a state of static compression (see §III.4).

V Parameter study

We next examine and compare the poroelastic response for SL and FL as a function of TT, AA, and ϕf,0\phi_{f,0}. We focus on the evolution of usu_{s}, ϕf\phi_{f} and qf=ϕfvfq_{f}=\phi_{f}v_{f} in space and in time, and on the phase behavior of σ(a,t)\sigma^{\prime}(a,t). We conclude by considering the parameter ranges that would be relevant to various biological examples.

V.1 Impact of loading period

To visualise the distinct poromechanical responses for SL and FL, and the transition between them, we plot usu_{s}, Δϕf\Delta{\phi_{f}}, and qfq_{f} (all normalised) over one cycle in the periodic regime for ϕf,0=0.75\phi_{f,0}=0.75, A=0.1A=0.1, and four different values of TT — two for SL (left two columns) and two for FL (right two columns) (figure 5).

Refer to caption
Figure 5: Evolution of normalised usu_{s} (first row) and Δϕf\Delta{\phi_{f}} (second row) at times t=nTt=nT to (n+1)T(n+1)T in increments of 0.1T0.1T (dark to light), where nn is an integer, during one cycle in the periodic regime for A=0.1A=0.1, ϕf,0=0.75\phi_{f,0}=0.75, and T=0.03πT=0.03\pi (first column), 0.1π0.1\pi (second column), π\pi (third column), and 10π10\pi (fourth column). As in Figure 2, we plot all fields in the first two rows against the Lagrangian spatial coordinate X=xus(x,t)X=x-u_{s}(x,t) for clarity. In the third row, we plot normalised qfq_{f} against tt for ten different values of XX from 0 to 11 (dark to light). We distinguish between the loading half of the cycle (a˙>0\dot{a}>0; solid curves) and the unloading half of the cycle (a˙<0\dot{a}<0; dashed curves). In the last row, plot phase portraits of σ(a,t)\sigma^{\prime}(a,t) against a(t)a(t) from t=0t=0 to t=20Tt=20T, emphasising the last cycle (dotted black).

The first row of figure 5 shows that, for FL (i.e., T=0.03πT=0.03\pi and 0.1π0.1\pi), the displacement is highly nonlinear in XX (and in xx), with substantial differences between the loading and unloading phases. As TT increases, transitioning into SL (i.e., T=1πT=1\pi and 10π10\pi), the displacement is increasingly linear in XX and converges toward the quasi-static solution, which is fully determined by the instantaneous value of aa and is thus symmetric between loading and unloading. For all values of TT, the displacement is of characteristic size AA at the left and vanishes at the right.

For SL, Δϕf\Delta{\phi_{f}} is uniform in space and varies only in time, per the quasi-static solution. The material is in a uniform state of compression, fully determined by the instantaneous value of aa and thus symmetric between loading and unloading and fully relaxed at the beginning/end of each cycle. As TT decreases, transitioning into FL, Δϕf\Delta{\phi_{f}} becomes increasingly localised near the left boundary and also increasingly asymmetric between loading and unloading (figure 5, second row, left column). For FL, the material experiences a substantial amount of tension in the left portion of the domain during unloading, despite the overall mean compression. Tension emerges for FL because this regime is, by definition, one where the rate of loading is much faster than the poroelastic relaxation time, so the left boundary must pull the material to the left during unloading. The right portion of the domain experiences an overall more limited range of porosities and remains compressed throughout the cycle, never reaching a state of tension or even full unloading. The latter feature is also visible in the corresponding displacement fields.

The fluid flux qf=ϕfvfq_{f}=\phi_{f}v_{f} is particularly relevant to the transport of solutes since it drives advection. Fluid leaves the domain during the loading phase of the cycle (qf(x=a,t)=qf(X=0,t)<0q_{f}(x=a,t)=q_{f}(X=0,t)<0 when a˙>0\dot{a}>0) and enters the domain during unloading. For SL, qfq_{f} is entirely in-phase with the loading, but opposite in sign. For FL, the peak value of qfq_{f} in the interior exhibits a lag relative to the peak value of a˙\dot{a}, and this lag increases with xx. Note that the fluid flux is orders of magnitude larger for FL than for SL because the rate of loading is orders of magnitude faster, but this variation is largely scaled out by normalisation with qf(ϕf,0,A,T)T1q_{f}^{\ast}(\phi_{f,0},A,T)\propto{}T^{-1}, per equation (51) (figure 5, third row).

The extreme values of qfq_{f} at the left boundary are larger in loading than in unloading, but progressively more symmetric as TT increases. This asymmetry is a result of the kinematic and constitutive nonlinearity of large deformations. We show in Appendix E that this asymmetry originates in the nonlinear kinematics of large deformations, meaning that it emerges from the nonlinear model during large deformations even with linear elasticity and constant permeability. This asymmetry is then strongly amplified by deformation-dependent permeability (relative to constant permeability) and slightly suppressed by Hencky elasticity (relative to linear elasticity). The latter occurs because Hencky elasticity stiffens in compression, resulting in a larger poroelastic diffusivity and therefore weaker localisation during loading (see also Appendix A).

The asymmetry between loading and unloading is also highlighted by the evolution of σ(a,t)\sigma^{\prime}(a,t) (figure 5, fourth row). For FL, σ(a,t)\sigma^{\prime}(a,t) exhibits hysteresis: for the same value of a(t)a(t), the value of σ(a,t)\sigma^{\prime}(a,t) is considerably higher in magnitude during loading than during unloading (and tensile during much of the unloading phase). This hysteresis decreases as TT increases, such that, for SL, σ(a,t)\sigma^{\prime}(a,t) is modest in magnitude, fully compressive, and symmetric between loading and unloading (i.e., non-hysteretic); as a result of the latter, the phase portrait for SL is a single curve (rather than a loop). These phase portraits also illustrate the convergence to the periodic regime: in all cases, the overall response grows less extreme as the transient component decays exponentially over the first T1\sim{}T^{-1} cycles.

Refer to caption
Figure 6: We illustrate the transition from FL to SL as TT increases by plotting the normalised maximum and minimum values Δϕf\Delta{\phi_{f}} (first column), qfq_{f} (second column), and σ\sigma^{\prime} (third column) against TT for A=0.1A=0.1 (solid lines) and A=0.001A=0.001 (dotted lines) during the periodic regime. We show the maximum values (dark colours) and minimum values (light colours) of all three quantities at the left boundary (X=0X=0, blue curves), of Δϕf\Delta{\phi_{f}} and σ\sigma^{\prime} at the right boundary (X=1X=1, red curves), and of qfq_{f} at the material midpoint (X=1/2X=1/2, red curves).

Since a key difference between SL and FL is that the deformation is uniformly distributed in the former and localised toward the left in the latter, we study the emergence of this localisation to further quantify the transition from SL to FL. In figure 6, we plot the normalised maximum and minimum values of Δϕf\Delta{\phi_{f}}, qfq_{f}, and σ\sigma^{\prime} at the left boundary (X=0X=0) and then either at the right boundary (X=1X=1) for Δϕf\Delta{\phi_{f}} and σ\sigma^{\prime} or at the material mid-point (X=1/2X=1/2) for qfq_{f}. The latter is necessary because qfq_{f} vanishes at X=1X=1. We consider a range of periods TT at two fixed values of AA for ϕf,0=0.75\phi_{f,0}=0.75.

Figure 6 shows that, for SL, the deformation is uniform, varying only in time. The maxima and minima of both Δϕf\Delta{\phi_{f}} and σ\sigma^{\prime} remain separate, but their left and right values converge. The flux qfq_{f} remains linear in space, even for SL (see §III.5). As TT decreases, the deformation is progressively localised at the left, such that the right is increasingly static. At the right, the maximum and minimum values of Δϕf\Delta{\phi_{f}} and qfq_{f} converge to zero while the maximum and minimum values of σ\sigma^{\prime} converge to weak compression, as also illustrated in figure 5.

We find that a small-amplitude deformation (A=0.001A=0.001) and a large-amplitude deformation (A=0.1A=0.1) exhibit qualitatively similar features. However, large deformations lead to an increasingly strong asymmetry between the maxima and minima of all quantities at the left boundary as TT decreases. In particular, the curves are biased downward, such with higher magnitudes reached in loading (minima) than in unloading (maxima). This asymmetry is does not occur for small deformations, for which the maxima and minimia of all quantities are symmetric in magnitude. Note also that the maxima of Δϕf\Delta{\phi_{f}} and σ\sigma^{\prime} increase as TT decreases for both values of AA, whereas the maximum of qfq_{f} is independent of TT for small deformations but decreases with TT for large deformations, consistent with figure 5.

V.2 Impact of loading amplitude

We next examine the impact of loading amplitude AA on the poromechanical response. We first assess the interaction between amplitude and period by plotting Δϕf\Delta{\phi_{f}} against XX at mid-cycle for two different values of TT (one for SL and one for FL) and for five different values of AA, ranging from small to large deformations (A=0.002A=0.002 to 0.20.2; fig. 7).

Refer to caption
Figure 7: Profiles of Δϕf\Delta{\phi_{f}} at mid-cycle during the periodic regime for ϕf,0=0.75\phi_{f,0}=0.75 and for five values of AA ranging from small to large deformations (dark to light), each for two different periods: T=0.1πT=0.1\pi (FL; solid) and T=10πT=10\pi (SL; dashed). The left and right panels are non-normalised and normalised, respectively, showing that this normalisation captures the leading-order impact of AA on Δϕf\Delta{\phi_{f}}.

The left panel in figure 7 shows that, for SL, the non-normalised value of Δϕf\Delta{\phi_{f}} is uniform in XX and increases with AA, as expected. For FL, the non-normalised value of Δϕf\Delta{\phi_{f}} is increasingly non-uniform with XX as AA increases. Relative to the SL case, the deformation is increasingly amplified at the left boundary and suppressed at the right boundary (recall that the mean value of Δϕf\Delta{\phi_{f}} is independent of TT). The right panel shows the same results, but now normalised by ΔϕfM\Delta\phi_{f}^{M} (eq. 48). By definition, all of the SL curves collapse onto Δϕf/ΔϕfM=1\Delta{\phi_{f}}/\Delta\phi_{f}^{M}=-1 (ΔϕfM\Delta\phi_{f}^{M} is the magnitude of the quasi-static change in porosity at mid-cycle). The FL curves also nearly collapse onto a master curve, suggesting that this normalisation captures the leading-order impact of AA, even for large deformations for FL. The largest deviations from this collapse are near the left boundary, where nonlinearities are particularly pronounced.

In figure 8, we focus on FL by fixing T=0.1πT=0.1\pi and plotting the evolution of Δϕf\Delta{\phi_{f}}, qfq_{f}, and σ(a,t)\sigma^{\prime}(a,t) for three different values of AA, ranging from small to large deformations.

Refer to caption
Figure 8: Evolution of normalised Δϕf\Delta{\phi_{f}}, qfq_{f}, and σ(a,t)\sigma^{\prime}(a,t) for ϕf,0=0.75\phi_{f,0}=0.75, T=0.1πT=0.1\pi, and A=0.01A=0.01 (first column), 0.10.1 (second column), and 0.20.2 (third column). In the first row, we plot Δϕf\Delta{\phi_{f}} against the Lagrangian spatial coordinate X=xusX=x-u_{s} at times t=nTt=nT to (n+1)T(n+1)T in increments of 0.1T0.1T (dark to light) during one cycle in the periodic regime. In the second row, we plot qfq_{f} against tt for ten different values of XX from 0 to 11 (dark to light); we distinguish between loading (a˙>0\dot{a}>0; solid curves) and unloading (a˙<0\dot{a}<0; dashed curves). In the last row, we plot phase portraits of σ(a,t)\sigma^{\prime}(a,t) against a(t)a(t) from t=0t=0 to t=20Tt=20T, emphasising the last cycle (dotted black lines).

We find that increasing AA amplifies the asymmetry in the extreme values of Δϕf\Delta{\phi_{f}} and qfq_{f} at the left boundary in loading and unloading, as noted in figure 6. The normalisation captures the leading-order impact of AA on all of these quantities, as noted in figure 7; the non-normalised values of all three quantities would vary by two orders of magnitude across this range of AA. As AA increases, σ(a,t)\sigma^{\prime}(a,t) exhibits more hysteresis and larger normalised magnitudes, in accordance with the amplified asymmetry.

We further explore the impact of AA in figure 9 by plotting the normalised maxima and minima of Δϕf\Delta{\phi_{f}}, qfq_{f}, and σ\sigma^{\prime} at the left and at the right, as in figure 6, but now against AA for two different values of TT, showing the smooth transition from small deformations (A0.01A\lesssim 0.01) to large deformations (A0.01A\gtrsim 0.01).

Refer to caption
Figure 9: We illustrate the transition from small to large deformations as AA increases by plotting the normalised maximum and minimum values Δϕf\Delta{\phi_{f}} (first column), qfq_{f} (second column), and σ\sigma^{\prime} (third column) against AA for T=0.1πT=0.1\pi (solid lines) and T=10πT=10\pi (dotted lines) during the periodic regime. We show the maximum values (dark colours) and minimum values (light colours) of all three quantities at the left boundary (X=0X=0, blue curves), of Δϕf\Delta{\phi_{f}} and σ\sigma^{\prime} at the right boundary (X=1X=1, red curves), and of qfq_{f} at the material midpoint (X=1/2X=1/2, red curves).

For small deformations, the normalised maxima and minima of all quantities at the left and at the right become independent of AA, and the extreme values of Δϕf\Delta{\phi_{f}} and qfq_{f} become symmetric. For SL, Δϕf\Delta{\phi_{f}} and σ\sigma^{\prime} become uniform in space, such that their normalised left and right values are equal and depend only weakly on AA for the largest deformations shown here (e.g., A0.1A\gtrsim{}0.1). For FL, the values of all three quantities at the left become increasingly asymmetric and biased downward as AA increases.

V.3 Impact of initial porosity

Finally, we consider the initial porosity ϕf,0\phi_{f,0}. In figure 10, we plot the distribution of Δϕf\Delta{\phi_{f}} at mid-cycle for three different values of ϕf,0\phi_{f,0} for fixed A=0.01A=0.01 and for two different values of TT, one for FL (T=0.1πT=0.1\pi) and SL (T=10πT=10\pi).

Refer to caption
Figure 10: Impact of ϕf,0\phi_{f,0} on Δϕf\Delta{\phi_{f}} at mid-cycle in the periodic regime for A=0.1A=0.1 and for two different periods: T=0.1πT=0.1\pi (FL; solid) and 10π10\pi (SL; dashed). We show results for three values of ϕf,0\phi_{f,0} (increasing from dark to light). We plot the non-normalised value of Δϕf\Delta{\phi_{f}} on the left and the normalised value on the right.

For both SL and FL, the non-normalised values of Δϕf\Delta{\phi_{f}} (left panel) increase in magnitude as ϕf,0\phi_{f,0} decreases because the same change in total volume is a larger portion of the initial fluid volume. The right panel shows that normalisation by ΔϕfM\Delta{\phi_{f}^{M}} against captures the leading-order impact of varying ϕf,0\phi_{f,0} on Δϕf\Delta{\phi_{f}}, again with small deviations at the left boundary for FL, when nonlinearities are most pronounced.

We next plot the evolution of Δϕf\Delta{\phi_{f}} and σ\sigma^{\prime} in time for A=0.01A=0.01 and T=0.1πT=0.1\pi for the same three values of ϕf,0\phi_{f,0} (fig. 11), confirming that normalisation captures the primary impact of ϕf,0\phi_{f,0} on Δϕf\Delta{\phi_{f}} and on σ(a,t)\sigma^{\prime}(a,t).

Refer to caption
Figure 11: Impact of ϕf,0\phi_{f,0} on the evolution of Δϕf\Delta{\phi_{f}} and σ(a,t)\sigma^{\prime}(a,t) for A=0.01A=0.01, T=0.1πT=0.1\pi, and ϕf,0=0.25\phi_{f,0}=0.25 (first column), 0.50.5 (second column), and 0.750.75 (third column). In the first row, we plot Δϕf\Delta{\phi_{f}} against the Lagrangian spatial coordinate X=xusX=x-u_{s} at times t=nTt=nT to (n+1)T(n+1)T in increments of 0.1T0.1T (dark to light) during one cycle in the periodic regime, and we distinguish between loading (a˙>0\dot{a}>0; solid curves) and unloading (a˙<0\dot{a}<0; dashed curves). In the second row, we plot phase portraits of σ(a,t)\sigma^{\prime}(a,t) against a(t)a(t) from t=0t=0 to t=20Tt=20T, emphasising the last cycle (dotted black lines).

V.4 FL in biological examples

We conclude by considering appropriate parameter ranges for several examples of periodic loading in soft biological tissues (Table 1). Based on these values, we calculate the poroelastic timescale TpeT_{\mathrm{pe}} and the relative dimensionless loading period T~=T/Tpe\tilde{T}=T/T_{\mathrm{pe}} for each example to understand the ranges of relevance for A~\tilde{A}, T~\tilde{T} and ϕf,0\phi_{f,0}.

Tissue LL [m] A~=A/L\tilde{A}=A/L ϕf,0\phi_{f,0} k0k_{0} [m2] \mathcal{M} [Pa] TpeT_{\mathrm{pe}} [s]
Typical loading
frequency [Hz]
T~=T/Tpe\tilde{T}=T/T_{\mathrm{pe}}
Brain ECM Kedarasetti et al. (2020) 2×1042\times 10^{-4} 0.1 – 0.2 0.20.2 2×10152\times 10^{-15} 2×1032\times 10^{3} 10\approx 10 0.3 – 10 0.003π0.003\pi0.1π0.1\pi
Cartilage Ferguson et al. (2004) 2×1032\times 10^{-3} 0.15\approx 0.15 0.80.8 7.5×10187.5\times 10^{-18} 5×1065\times 10^{6} 102\approx 10^{2}
0.001 – 0.1 (sitting)
0.1 – 1 (running)
0.03π0.03\pi3π3\pi
0.003π0.003\pi0.03π0.03\pi
Intervertebral
Disk
(Anulus F.) Ferguson et al. (2004)
10210^{-2} 0.15\approx 0.15 0.70.7 7.5×10197.5\times 10^{-19} 2.5×1062.5\times 10^{6} 5×104\approx 5\times 10^{4}
2×1052\times 10^{-5} (wake cycle)
0.001 – 0.1 (sitting)
0.1 – 1 (running)
0.3π0.3\pi
6×105π6\times 10^{-5}\pi6×103π6\times 10^{-3}\pi
6×106π6\times 10^{-6}\pi6×105π6\times 10^{-5}\pi
Cartilage
Scaffold
(bioreactor) Sengers et al. (2004)
2×1032\times 10^{-3} 00.150-0.15 0.90.9 101710^{-17} 10510^{5} 4×103\approx 4\times 10^{3} 0.001 – 1 0.0001π0.0001\pi0.1π0.1\pi
Table 1: Material and loading pararameters for some examples of biological materials.

Table 1 shows that, for a variety of soft tissues, deformations are in the range of the dimensionless amplitudes A~\tilde{A} considered here, with nearly all being near the upper end. The range of ϕf,0\phi_{f,0} is slightly wider than the range considered here, but we showed in §V.3 that this value has little impact on the normalised mechanical response of the material. The range of poroelastic timescales TpeT_{\mathrm{pe}} and respective loading frequencies suggest that dimensionless loading periods T~\tilde{T} span a wide range, with many corresponding to FL. These values justify our analysis and underscore the importance of characterising the nonlinearity of large poromechanical deformations during FL in particular.

VI Conclusions

We have provided an analysis of the poromechanical coupling between large deformations and fluid flow in a periodically loaded soft porous material. To do so, we used a kinematically rigorous 1D continuum model with Hencky elasticity and a Kozeny-Carman-like permeability law. In particular, we examined the roles of the three dimensionless control parameters: the initial porosity ϕf,0\phi_{f,0}, the loading amplitude AA, and the loading period TT.

We began by deriving several analytical solutions from linear poroelasticity — an early-time solution, a full solution, and a solution for the response to very fast loading (Stokes’s second problem) — as well as a quasi-static solution to the fully nonlinear problem. The former are valid for small deformations, which corresponds to A1A\ll{}1 and also, less obviously, to ATA\ll{}\sqrt{T}. The quasi-static solution is valid for very slow loading (T1T\gg{}1) but arbitrarily large amplitudes. We then compared these solutions with our numerical results, highlighting the existence of two mechanical regimes: slow loading (SL), where the loading is much slower than the poroelastic relaxation time TpeT_{\mathrm{pe}}, and fast loading (FL), where the loading is much faster than TpeT_{\mathrm{pe}}.

We then showed that the material response to SL (TπT\gtrsim\pi) is an increasingly uniform deformation throughout the domain, approaching the quasi-static solution for very slow loading. For FL (T0.1πT\lesssim 0.1\pi), the deformation is nonuniform and increasingly localised near the left boundary. In the limit of very fast loading, this localisation is such that the left portion of the material oscillates while the right portion is in a state of static compression. We showed that FL is also characterised by asymmetry between loading and unloading, with a larger change in porosity and higher fluid flux magnitudes during loading (when fluid is squeezed out) than during unloading (when fluid is sucked back in). This asymmetry originates in the kinematic nonlinearity of large deformations and is amplified by the localisation of the deformation near the left boundary as TT decreases (itself a linear effect) and by the nonlinearity of deformation-dependent permeability as AA increases. Thus, this asymmetry emerges from the fast and large deformation of an elastic and initially homogeneous material, and is therefore purely poromechanical; it does not occur during slow loading. Asymmetry between quasi-static loading and unloading can instead result from wall friction in confined geometries and/or constitutive hysteresis due to microstructural changes, as has been observed experimentally for some soft porous materials (e.g., Sobac et al., 2011; Hewitt et al., 2016; Lutz et al., 2021).

Through the analysis on the fluid flow at different fixed material points in the domain, we also showed that faster loading leads to an increasing delay in the interior of the domain relative to the motion of the left boundary. Although the motion of the fluid itself is reversible, these features are likely to have an important impact on irreversible phenomena. For example, these results have interesting implications for the deformation-driven transport and mixing of solutes, which we consider in detail in a companion study.

The evolution of the stress at the left boundary as a function of the piston position revealed that, for faster loading and larger deformations, the force required to compress the material is much larger than the force required to pull it back to the same position. This is due to the interaction of the viscous flow through the solid porous skeleton, which instead can be instantaneously squeezed out or re-imbibed in the domain for very slow loading, with no hysteresis.

Finally, we showed that a larger initial porosity ϕf,0\phi_{f,0} leads to much lower fluid fluxes that can be accounted for by normalisation.

Our results elucidate the local and global poromechanical behaviour of soft porous media during periodic loading over a wide range of ϕf,0\phi_{f,0}, AA, and TT. Having used relatively generic constitutive models, we expect our qualitative insights to be robust across a wide range of materials; however, it is straightforward to adapt our approach to other constitutive models (see Appendix A).

Declaration of interests: The authors report no conflicts of interest.

Acknowledgements.
This work was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 Programme [Grant No. 805469]. S.P. was supported by Start-Up Research Grant (SRG/2021/001269) by the Science and Engineering Research Board, Department of Science and Technology, Government of India. For the purpose of Open Access, the authors have applied a CC BY public copyright licence to any Author Accepted Manuscript (AAM) version arising from this submission.

Appendix A Constitutive laws

In our model, we consider Hencky elasticity as the constitutive law for the elastic solid. Hencky elasticity is a hyperelastic model commonly used for soft rubbers and polyurethane foams Hencky (1933); Anand (1979); Xiao and Chen (2002), and sometimes for soft biological tissues (e.g., Marchesseau et al., 2010; Fraldi et al., 2018). In this appendix, we compare Hencky elasticity with two other hyperelastic models — Neo-Hookean and logarithmic Neo-Hookean — that are more commonly employed for soft tissues (e.g., Ehlers et al., 2009; Sengers et al., 2004). This analysis suggests that our qualitative results also apply to these other elasticity laws.

The expressions σ(ϕf)\sigma^{\prime}(\phi_{f}) for Hencky elasticity and for linear elasticity are given in equations (16) and (22), respectively. The appropriate expressions for the Neo-Hookean and logarithmic Neo-Hookean constitutive laws are:

σ=𝒢(J21J)+Λ(J1),\mathbf{\sigma}^{\prime}=\mathcal{G}\left(\frac{J^{2}-1}{J}\right)+{\Lambda}(J-1), (52)

and

σ=𝒢(J21J)+Λln(J)J,\mathbf{\sigma}^{\prime}=\mathcal{G}\left(\frac{J^{2}-1}{J}\right)+{\Lambda}\frac{\ln(J)}{J}, (53)

respectively, where J=(1ϕf,0)/(1ϕf)J=(1-\phi_{f,0})/(1-\phi_{f}) and Λ\Lambda and 𝒢\mathcal{G} are the Lamé constants, such that =Λ+2𝒢\mathcal{M}=\Lambda+2\mathcal{G}.

Refer to caption
Figure 12: Comparison of different constitutive properties: normalised effective stress σ(ϕf)\sigma^{\prime}(\phi_{f}) (first row), permeability k(ϕf)k(\phi_{f}) (second row), and poroelastic diffusivity Df(ϕf)=(1ϕf)(k/μ)dσ/dϕfD_{f}(\phi_{f})=(1-\phi_{f})(k/\mu)\mathrm{d}\sigma^{\prime}/\mathrm{d}\phi_{f} (third row) against ϕf\phi_{f} for four different elasticity laws (linear, Hencky, Neo-Hookean, and logatithmic Neo-Hookean) and two different permeability laws (Kozeny-Carman and power-law). The relaxed porosity is ϕf,0=0.75\phi_{f,0}=0.75 in all cases and we take Λ/𝒢=0.515\Lambda/\mathcal{G}=0.515 in the two Neo-Hookean laws based on values reported in ref. (Ferguson et al., 2004).

In the first row of figure 12, we plot σ/\sigma^{\prime}/\mathcal{M} against ϕf\phi_{f} in compression for all four of these elasticity laws (linear, Hencky, Neo-Hookean and logarithmic Neo-Hookean). Note that the two Neo-Hookean models are characterised by an additional dimensionless parameter in confined compression, the ratio Λ/𝒢\Lambda/\mathcal{G}. All four curves have the same qualitative shape, although Hencky elasticity is noticeably stiffer than the other models during strong compression. However, these quantitative differences are relatively unimportant because the permeability law forces the poroelastic diffusivity smoothly toward zero during strong compression in all cases (see below).

In the second row of figure 12, we provide a similar comparison for two different permeability laws: Kozeny-Carman (eq. 6) and a simpler power-law model given by

k(ϕf)=k0(ϕfϕf,0)3.k(\phi_{f})=k_{0}\left(\frac{\phi_{f}}{\phi_{f,0}}\right)^{3}. (54)

Both models are commonly used for soft tissues and gels (e.g., Kozeny-Carman in refs. Sacco et al. (2014); Malandrino et al. (2014); Rahbari et al. (2017); Gao and Cho (2022) and power-law in refs. Holmes and Mow (1990); Ehlers et al. (2009); Sengers et al. (2004)) and the two curves have qualitatively similar shapes. Note that constant permeability k(ϕf)=k0k(\phi_{f})=k_{0} is rarely used for soft porous media and is considered non-physical, particularly for moderate to large deformations.

In the third row of figure 12, we compare the resulting poroelastic diffusivity Df(ϕf)D_{f}(\phi_{f}) (eq. 15) for all eight combinations of these four elasticity laws with these two permeability laws. Most of these curves have the same qualitative shape, most importantly vanishing smoothly as ϕf0\phi_{f}\to 0. The combination of Hencky elasticity with Kozeny-Carman permeability (solid green line) is roughly in the middle of this family of curves, suggesting that this combination is representative of the poromechanical behavior of many different soft porous materials, thus supporting the qualitative generality of our results.

Appendix B Early time evolution, penetration length, and periodic response to very fast loading

The macroscopic strain imposed on the material is always of size AA. For fast loading, this strain localises toward the left boundary, leading to local strains of size A/T\sim{}A/\sqrt{T} over a region of size T\sqrt{T} in the periodic state. Thus, the local strains can become large even when AA is small, leading to large deviations from linear poroelasticity. These deviations are particularly large at early times, during which the deformations are localised to an even narrower region of size t\sqrt{t} (figure 13a), but they persist in the periodic state (figure 13c).

When the loading begins, the deformation propagates into the material diffusively with penetration distance δett\delta_{\mathrm{et}}\sim{}\sqrt{t} until the deformation spans the domain (figure 13b). In the periodic state, the oscillations will be confined to a region of size T\sqrt{T}. For very fast loading, T1\sqrt{T}\ll 1, the right portion of the material will evolve toward a state of static compression (figure 13d).

Refer to caption
Figure 13: Early time response for ϕf,0=0.75\phi_{f,0}=0.75 at a small amplitude A=0.02A=0.02 and a very fast period T=0.001πT=0.001\pi. We show Δϕf\Delta{\phi_{f}} as a function of the Lagrangian spatial coordinate XX for several times tt during (a) the first loading cycle and (c) one cycle in the periodic regime. We also show the evolution of (b) the penetration distance δet\delta_{\mathrm{et}} and (d) the change in porosity at the right boundary, Δϕf(1,t)\Delta{\phi_{f}}(1,t), both against t\sqrt{t}. All plots show the numerical solution (solid black) and the full linear-poroelastic solution (dotted blue). The top row includes the early-time linear-poroelastic solution (dashed red). The bottom row includes the very fast linear-poroelastic solution (dashed magenta). The latter is a constant in panel (d) the bottom left because the very fast solution neglects the initial transient. Panel (b) also shows a linear trend in t\sqrt{t} for reference (dashed black).

Appendix C Transition to the periodic regime

The linear-poroelastic solution in §II.8 includes a transient component that decays exponentially and a periodic component with period TT. In this appendix, we illustrate and quantify the decay of the transient component and hence the convergence to the periodic regime for a large-deformation scenario. To do so, we solve the problem numerically for ϕf,0=0.75\phi_{f,0}=0.75, A=0.2A=0.2, and for T=4πT=4\pi, π\pi, 0.2π0.2\pi, 0.12π0.12\pi, and 0.1π0.1\pi. This amplitude is the largest considered in this study, thus providing an upper bound for difference magnitudes. In each case, we calculate the root-mean-square (RMS) relative difference in ϕf(X,t)\phi_{f}(X,t) between the solution at time tt and at time t+Tt+T.

Refer to caption
Figure 14: The RMS relative difference between the ϕf(X,t)\phi_{f}(X,t) at time tt and at time t+Tt+T for A=0.2A=0.2, ϕf,0=0.75\phi_{f,0}=0.75, and for five values of TT (see legend). The dashed black line indicates the exponential decay etπ2e^{-t\pi^{2}} and the dotted black line indicates the relative tolerance selected for time integration, here set to 10810^{-8} (see figure 16).

Figure 14 confirms the exponential decay of the transient for all five values of TT (dashed black dashed). After this initial transition, the RMS relative difference for all curves oscillates around a mean value that is controlled by the relative error tolerance associated with time integration (see figure 16).

Appendix D Numerical method

We solve our model numerically using Chebyshev spectral differences in space Weideman and Reddy (2000) and implicit Runge-Kutta integration in time. We achieve the latter using MATLAB’s built-in solver ODE15s Shampine and Reichelt (1997). To handle the moving boundary, we rescale the spatial coordinate as

ξ=xa1a,\xi=\frac{x-a}{1-a}, (55)

thus mapping a general conservation law of the form

Φt+x[F(Φ)]=0\frac{\partial{\Phi}}{\partial{t}}+\frac{\partial}{\partial{x}}[F(\Phi)]=0 (56)

on the domain a(t)x1a(t)\leq{}x\leq{}1 to

Φt(1ξ1a)a˙Φξ+(11a)ξ[F(Φ)]=0\frac{\partial{\Phi}}{\partial{t}}-\left(\frac{1-\xi}{1-a}\right)\dot{a}\frac{\partial{\Phi}}{\partial{\xi}}+\left(\frac{1}{1-a}\right)\frac{\partial}{\partial{\xi}}[F(\Phi)]=0 (57)

on the domain 0ξ10\leq{}\xi\leq{}1. When solving equation (25), we then take Φ=ϕf\Phi=\phi_{f} and

F(ϕf)=D~f(ϕf)ϕfx~.{F(\phi_{f})}=-\tilde{D}_{f}(\phi_{f})\frac{\partial{\phi_{f}}}{\partial{\tilde{x}}}. (58)

For our spatial discretisation, we perform a convergence analysis in the number of grid points NxN_{x} by calculating the RMS relative difference in ϕf(a,t)\phi_{f}(a,t) for each solution with respect the solution for Nx=1000N_{x}=1000.

Refer to caption
Figure 15: Convergence analysis: RMS relative difference in ϕf(a,t)\phi_{f}(a,t) relative to the solution for Nx=1000N_{x}=1000. On the left, we fix A=0.02A=0.02 and consider different values of TT, from very fast to slow. On the right, we fix T=0.1πT=0.1\pi and consider different values of AA, from small to large.

Figure 15 illustrates the impact of AA and TT on the spatial accuracy of the numerical solution. Very small amplitudes and very slow periods are characterised by low differences that are on the order of the tolerance chosen for time integration (see figure 16). We choose Nx=300N_{x}=300 for all simulations, associated with a maximum relative difference comparable to that of the relative error tolerance for time integration.

In figure 16, we consider the RMS relative difference in ϕf(X,t)\phi_{f}(X,t) between two consecutive cycles in the periodic regime for A=0.2A=0.2 and T=4πT=4\pi, and for three values of the relative error tolerance for time integration.

Refer to caption
Figure 16: RMS relative difference in ϕf(X,t)\phi_{f}(X,t) between two consecutive cycles in the periodic regime for A=0.2A=0.2 and T=4πT=4\pi and for three values of relative error tolerance for time integration.

The results confirm that the RMS relative difference is limited by the relative error tolerance of the ODE solver, as expected. Throughout our analysis, we use a relative tolerance of 10810^{-8}.

Appendix E Impact of elasticity and permeability laws at large amplitudes

In figure 17, we compare different combinations of elasticity and permeability laws for a scenario involving large deformations and fast loading (A=0.09A=0.09, T=0.03πT=0.03\pi). Specifically, we compare four cases: Hencky elasticity with Kozeny-Carman permeability (first column; same as the first column in figure 5, but for a slightly lower amplitude), linear elasticity with Kozeny-Carman permeability (second column), Hencky elasticity with constant permeability (third column), and linear elasticity with constant permeability (fourth column).

Refer to caption
Figure 17: As in figure 5, but for a slightly lower amplitude (A=0.09A=0.09) and showing four different combinations of constitutive behavior: Hencky elasticity with Kozeny-Carman permeability (first column), linear elasticity with Kozeny-Carman permeability (second column), Hencky elasticity with constant permeability (thrid column), and linear elasticity with constant permeability (fourth column).

Note that the last column is still kinematically nonlinear because Df=1ϕfD_{f}=1-\phi_{f} (see eq. 25) and the problem remains a moving-boundary problem. Even for constant permeability and linear elasticity, the fluid flux has a strong asymmetry between loading and unloading. This asymmetry is strongly enhanced by Kozeny-Carman permeability and very gently moderated by Hencky elasticity. The latter occurs because Hencky elasticity is stiffer than linear elasticity in compression.

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