
Citation: Aftab Ahmed, Javed I. Siddique. The effect of magnetic field on flow induced-deformation in absorbing porous tissues[J]. Mathematical Biosciences and Engineering, 2019, 16(2): 603-618. doi: 10.3934/mbe.2019029
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When fluid flows through a rigid porous material, the dynamics is adequately described either by Darcy's law [1] for low speed flow or by nonlinear Forcheimer's law [2] for high speed flow. On the other hand, for flow through a deformable porous material a more sophisticated model is required to study the interaction between elastic solid and fluid. In fact, the properties such as permeability and porosity of these materials alter due to the forces associated with the flow, which in turn, affect the passage of fluid through these materials. The pioneering work on deformation of a porous material coupled with fluid flow dates back to Terzaghi [3] in 1925. Later on, it was extended by Biot to study the soil consolidation [4] and soil culmination [5] and these works have been used extensively in soil mechanics.
Following the pioneering work of Fick [6] on mixture theory, Truesdell [7] put forth the modern theory by proposing balance equations appropriate to mixtures irrespective of their constitution. This theory was then comprehensively reviewed and applied to study chemically inert mixture of two ideal gases by Atkin and Craine [8] along with applications [9]. Later on, Rajagopal and Tao [10] authored an excellent book on mechanics of mixtures in which conservation laws were derived and several example problems were discussed from mixture theory viewpoint. In addition to these, a review of mixture theory for deformable porous media along with applications in different scientific fields was presented very recently by Siddique et al. [11].
The application of mixture theory to soft biological tissues essentially started with the work of Kenyon [12,13], who discussed radial flux of fluid through a porous cylinder replicating a model of flow through arterial tissue. Following this, Jayaraman [14] studied the problem of flow through an artery wall with constant permeability, and Jain and Jayaraman [15] also investigated the same problem but considered two layers in the artery wall each with different permeabilities. Similarly, Klanchar and Tarbell [16] studied the water flow through arterial tissue by considering a linear form of the strain-dependent permeability. Apart from arterial tissue, the theory was extended further by Mow et al. [17,18,19] by considering the articular cartilage as a deformable porous material saturated with synovial fluid. The main application, however, was the lubrication properties of synovial joints such as knee. Due to compression of articular cartilage, the synovial fluid moves through the pores of the tissue to form a surface lubricating layer. Very recently, Ahmed et al. [20] developed a mathematical model of non-Newtonian flow-induced deformation in absorbing porous tissues using mixture theory. Other biological tissues that have been modeled in this way include the skin [21], the lung [22] and the cornea [23], etc.
In clinical medicine the prediction of absorption rate of a substance from an injection site is a problem of fundamental and great importance. Therefore, understanding the mechanical process involved in this mechanism may help resolve many unclear and unresolved issues. Although, we consider here a model with certain simplifying assumptions, nevertheless, this model can be used as a precursor to models of a number of other clinically important problems. The problem of fluid absorption from an injection site into the brain tissue was investigated by Nicholson [24] by considering two possibilities for fluid flow through the tissue. Firstly, that the injected fluid saturates a region of the tissue and then perfuses to the remaining tissue and secondly that a small cavity of injected fluid forms initially followed by the fluid flow through rest of the tissue. We consider here the second possibility to model the growth of a spherical cavity with time under a time dependent pressure applied within the cavity.
In magnetohydrodynamic (MHD) processes, the motions of an electrically conducting fluid induce and maintain a finite magnetic field. In particular, these MHD processes have become relevant to many applications in medical science such as cell isolation, drug targeting, tissue activation and magnetization, magnetic hyperthermia and magnetic resonance imaging. In the past few years, a magnetohydrodynamic theory for deformable porous media has gained a considerable attention of many researchers. Eldabe et al. [25] investigated the magnetohydrodynamic flow of a bi-viscosity fluid through a porous medium in a layer of deformable material. In particular, the authors used a mixture theory approach to develop a model for flow through a symmetrical channel. Following this idea, several authors [26,27] studied the problem of infiltration of MHD liquid into a deformable porous material. Sreenadh et al. [28] investigated MHD Couette flow of a Jeffrey fluid over a deformable porous layer in a channel bounded below by a finite deformable porous layer and by a moving rigid plate using a two component mixture theory. The applications of magnetic field to biological systems has also attracted the attention of many authors in the last few decades. To this end, application of magnetic fields in artificial human joints were developed through the models incorporating bone-in growth in porous implants [29,30]. Moreover, the externally applied magnetic field stimulates the functions of biological tissues along with their regeneration [31]. Apart from these studies, the effect of magnetic field on synovial joints was investigated by Tandon et al. [32] using lubrication theory. Specifically, the authors considered the knee joint as two approaching porous cartilageous surfaces and the synovial fluid in the cartilage was represented by an Oldroyd model. It was reported that a suitably designed magnetic field improves the performance of synovial joints along with a better articulation in a diseased state.
The aim of this study is to develop a mathematical model of flow-induced deformation from pressurized cavities in absorbing porous tissues subject to a uniform applied magnetic field. In particular, a model with a spherical cavity embedded in a porous medium of infinite extent is used to find fluid pressure and solid displacement of the tissue as a function of radial distance and time. The governing set of equations are nondimensionalized using suitable dimensionless quantities which are then solved numerically to assess the influence of magnetic parameter. The arrangement of this article is as follows: in section 2, we present mathematical formulation of the problem. Section 3 deals with the solution methodology for the governing set of equations followed by results and discussion in section 4. Finally, concluding remarks are presented in section 5.
In order to develop the model, we use a biphasic mixture theory to describe the fluid flow and solid deformation in a biological tissue under the influence of a uniform magnetic field as shown in Figure 1. The main underlying idea of mixture theory is that each constituent of the mixture is continuous and occupies every point in space at each instant of time [8]. The orientation of the applied magnetic field is taken in such a way that it only produces the radial flow in the tissue from the injection site.
We assume that injected fluid in the porous tissue is conducting and viscous while the organic solid matrix is isotropic, homogeneous and linearly elastic. The gravitational and osmotic forces are neglected. It is also assumed that shear stresses are negligible on account of one dimensional radial flow and the constituents of the mixture are intrinsically incompressible. Under these assumptions, equations of motion for solid and fluid phase in the radial direction are written as (see Appendix for details).
∂ϕs∂t+1r2∂∂r(r2ϕsvs)=0, | (2.1) |
∂ϕℓ∂t+1r2∂∂r(r2ϕℓvℓ)=−βρℓTp, | (2.2) |
vs−vℓ=ϕℓK∂p∂r−σ0B20Kvs, | (2.3) |
∂σrr∂r+2σrr−σθθr=∂p∂r, | (2.4) |
where
∂∂t(ϕs+ϕℓ)+1r2∂∂r(r2(ϕsvs+ϕℓvℓ))=−βρℓTp, | (2.5) |
which on denoting the macroscopic medium velocity in the radial direction,
1r2∂∂r(r2vr)=−βρℓTp. | (2.6) |
Using equation (2.4) into (2.3) and simplifying, yields
∂σrr∂r+2σrr−σθθr=Kϕℓ(vs−vℓ)+σ0B20ϕℓvs. | (2.7) |
Denoting
∂p∂r=∂σrr∂r+2σrr−σθθr=1κ(ϕ)(∂u∂t−vr)+σ0B20ϕℓ∂u∂t, | (2.8) |
where
κ(ϕ)=(ϕℓ)2K, | (2.9) |
is defined to be the permeability of the medium [33]. Equation (2.8) can be explained physically by taking into account the Darcy's law and considering the solid stress as being governed by the standard equilibrium equation of the theory of linear elasticity. As suggested by the relation (???), the permeability
∂p∂r=Ha∂ϕ∂r=1κ(ϕ)(∂u∂t−vr)+σ0B20ϕℓ∂u∂t, | (2.10) |
which on equating the first two expressions and then integrating gives the relationship between
p(r,t)=Haϕ(r,t), | (2.11) |
where both
vr(r,t)=∂u∂t−(κ(pHa)∂p∂r)+κ(pHa)σ0B20ϕℓ∂u∂t. | (2.12) |
Combining equations (2.6) and (2.12), we obtain
1r2∂∂r(r2∂u∂t)−1r2∂∂r{r2κ(pHa)∂p∂r}+1r2∂∂r(r2κ(pHa)σ0B20ϕℓ∂u∂t)=−βρℓTp. | (2.13) |
As the porous tissue is compressed, consequently its permeability would reduce due to a decrease in porosity. The relationship between porosity and displacement of the medium is given by [33]
1−ϕℓ=ϕs0√detG, | (2.14) |
where
ϕℓ=ϕℓ0+ϕs0∇⋅u=ϕℓ0(1+α0ϕ), | (2.15) |
where
1Ha∂p∂t−1r2∂∂r{r2κ(pHa)∂p∂r}+1r2∂∂r(r2κ(pHa)σ0B20ϕℓ∂u∂t)=−βρℓTp. | (2.16) |
This equation is expressed in terms of fluid pressure
κ(ϕ)=k0(1+nϕ), | (2.17) |
where
1Ha∂p∂t−1r2∂∂r{r2k0(1+npHa)∂p∂r}+1r2∂∂r{r2k0(1+npHa)σ0B20ϕℓ0(1+α0pHa)∂u∂t}=−βρℓTp. | (2.18) |
Assuming initial fluid volume fraction
1Ha(1+k0σ0B20ϕℓ0)∂p∂t−k0r2∂∂r{r2(1+npHa)∂p∂r}=−βρℓTp. | (2.19) |
This equation may be non-dimensionalized using the following dimensionless quantities
¯t=tt0,¯r=rr0,¯p=pp0,¯u=uu0, | (2.20) |
where
∂p∂t=α1+M1r2∂∂r{r2(1+nδp)∂p∂r}−ω1+Mp, | (2.21) |
where various dimensionless parameters are defined as
α=Hat0k0r20,δ=p0Ha,ω=βHat0ρℓT,M=k0σ0B20ϕℓ0. | (2.22) |
Note that values of various parameters appearing in this equation may differ considerably among biological tissues [33]. The equation (2.21) is required governing equation in terms of non-dimensional fluid pressure
t0=r20Hak0(1+k0σ0B20ϕℓ0), | (2.23) |
which reduces the parameter
ω=βr20ρℓTk0(1+k0σ0B20ϕℓ0). | (2.24) |
The non-dimensional boundary conditions for fluid pressure
p(r,0)=f(r),p(a,t)=g(t),p(r,t)→0asr→∞, | (2.25) |
and
[∂u∂r+2Lur]r=a=0,u(r,t)→0asr→∞, | (2.26) |
where
p(r,t)=1γr2∂∂r(r2u), | (2.27) |
where
u(r,t)=γr2{∫ra(t)s2p(s,t)ds+a3(t)g(t)2(1−L)}, | (2.28) |
which gives displacement of solid as a function of non-dimensional radial distance
In this section, we briefly outline the procedure for the solution of governing set of equations. To begin with, we first give an exact solution of equation (2.21) in terms of MHD fluid pressure
p(r,t)=are−ω1+Mt(4t)m2imerfc(r−a2√αt1+M)Γ(1+m2), | (3.1) |
where
dpidt=α1+M[2(1+nδpi)a+(i−1)dr(pi+1−pi−12dr)+nδ(pi+1−pi−12dr)2+(1+nδpi)(pi+1−2pi+pi−1(dr)2)]−ω1+Mpi, | (3.2) |
where
i=1,2,3,⋯,N,pi=p(ri,t),ri=a+(i−1)dr,dr=b−aN,p0=g(t),pN+1=0. | (3.3) |
Here
p(ri,0)=f(ri). | (3.4) |
We thus have an initial value problem consisting of N ODEs in equation (3.2) and corresponding initial conditions outlined in equation (3.4) which may now be solved using the efficient solver such as ode23s. It is important to note that in order to carry out numerical simulations, we truncate the spatial domain for fluid pressure at
In Figure 2 on the left, we present a comparison between the exact (i.e. equation (3.1)) and numerical (i.e. equation (3.2)) solution for the non-dimensional fluid pressure in the presence of magnetic field for the constant permeability case. An excellent agreement between the two solutions can be observed validating the proposed numerical scheme. On the other hand, the graph on the right presents the mesh convergence study for the fluid pressure profile along with the grid independence test. It can be seen that the solution converges rapidly as the number of spatial nodes
This section contains the outcome of our numerical simulations for fluid pressure and solid displacement for various values of magnetic parameter. Methods described in the previous section are used and the results are illustrated graphically.
In Figure 3, non-dimensional fluid pressure
Figure 4 describes the influence of magnetic parameter
The effect of magnetic parameter
Finally, non-dimensional pressure-dependent permeability,
In this study we analyzed a one-dimensional model of flow-induced deformation from pressurized cavities in absorbing porous biological tissues under an applied magnetic field. The tissue was assumed to be isotropic, homogeneous and linearly elastic. We used a biphasic mixture theory to develop the model with an assumption of infinitesimal solid deformation. A linear permeability relation was considered which allowed the governing equation to be written explicitly in terms of fluid pressure. A method of lines approach was adopted to solve the nonlinear parabolic PDE in terms of fluid pressure which was then used to find tissue displacement by employing the trapezoidal rule.
We noticed a reasonable reduction in fluid pressure, solid displacement and permeability of the tissue due to the presence of magnetic effects. Thus, a properly designed magnetic field may help achieve the required fluid flow and solid deformation in the tissue for certain physiological applications. The solid deformation enhances fluid absorption in the tissue and alters the porosity and permeability of the material. Although, we assumed that the absorption rate and tissue pressure are related linearly, however, more sophisticated forms of the absorption process may be considered to enhance the understanding of these complex systems.
This work is relevant to the interpretation of experimental studies on neuropharmacology and in situ electrochemistry especially with MHD effects. Other applications include the activation and magnetization of a variety of soft tissues for clinical purposes.
This research serves as a starting point in MHD modeling of flow-induced deformation in absorbing porous tissues and we hope that this simple mathematical model can be further extended in different directions. These directions include consideration of nonlinear stress-strain relation, different permeability relations, variable magnetic field and more realistic geometries. Moreover, incorporation of material isotropy and chemical effects are the topics of further research.
The author J. I. Siddique would like to acknowledge the support from Simons Foundation Grant No. 281839.
All authors declare no conflicts of interest in this paper.
We consider a deformable porous tissue as a continuous binary mixture of intrinsic incompressible solid and fluid, where each point in the mixture is occupied by both fluid and isotropic solid. The balance of mass for solid and fluid phase can be written as [33]
∂ρs∂t+∇⋅(ρsvs)=0, | (A.1) |
∂ρℓ∂t+∇⋅(ρℓvℓ)=−βp, | (A.2) |
where
ρη(∂vη∂t+(vη⋅∇)vη)=∇⋅Tη+πη+J×B, | (A.3) |
where
Tη=−ϕηpI+ση, | (A.4) |
−πs=πℓ=K(vs−vℓ)−p∇ϕs, | (A.5) |
where
∇×B=μcJ,∇⋅B=0,∇×E=−∂B∂t,J=σ0(E+vη×B), | (A.6) |
where
J×B=σ0(E+vη×B)×B, | (A.7) |
where the total magnetic field
J×B=σ0(vη×B0)×B0. | (A.8) |
Application of the vector identity
J×B=σ0(B0(vη⋅B0)−vη(B0⋅B0)), | (A.9) |
which on assuming
J×B=−σ0B20vη, | (A.10) |
where
∇⋅Tη+πη−σ0B20vη=0. | (A.11) |
In order to derive the equations (2.3) and (2.4), we proceed as follows. Using the relation (A.4) into equation (A.11) and adding both phase equations, yields
∇⋅(−pI+σ)+(πs+πℓ)−σ0B20(vs+vℓ)=0, | (A.12) |
where the relation
∇⋅σ=∇p, | (A.13) |
which yields equation (2.4) in the scalar form upon using the definition of the divergence in the radial direction. Substituting the relations (A.4) and (A.5) into equation (A.11) and performing some mathematical manipulation, we have respectively for the solid and fluid phase
∇⋅σ=K(vs−vℓ)+ϕs∇p+σ0B20vs, | (A.14) |
0=−K(vs−vℓ)+ϕℓ∇p+σ0B20vℓ. | (A.15) |
Eliminating the pressure
∇⋅σ=Kϕℓ(vs−vℓ)+σ0B20ϕℓ{vs−ϕs(vs+vℓ)}, | (A.16) |
which on using again the assumption
vs−vℓ=ϕℓK∇⋅σ−σ0B20Kvs. | (A.17) |
This equation in combination with the relation (A.13) gives equation (2.3) in component form.
We now turn our attention to the motion of the solid phase. Under the assumptions of infinitesimal deformations and one-dimensional radial flow, the components of stress for the solid phase are defined as [33]
σrr=(λ+2μ)∂u∂r+2λur, | (A.18) |
σθθ=(λ+2μ)ur+λ∂u∂r+λur=σϕϕ, | (A.19) |
where
(∇⋅σ)r=∂σrr∂r+2σrr−σθθr. | (A.20) |
Substituting equations (A.18) and (A.19) into equation (A.20) and simplifying, we obtain
(∇⋅σ)r=Ha∂ϕ∂r, | (A.21) |
where
ϕ=1r2∂∂r(r2u), | (A.22) |
is the local change in porosity and
[1] | H. Darcy, Les fontaines publiques de la ville de Dijon, Paris: Dalmont, 1856. |
[2] | D. D. Joseph, D. A. Nield and G. Papanicolaou, Nonlinear equation governing flow in a saturated porous medium, Water Res., 18 (1982), 1049–1052. |
[3] | K. Terzaghi, Erdbaumechanik auf bodenphysikalischen Grundlagen, Wien: Deuticke, 1925. |
[4] | M. A. Biot, General theory of three dimensional consolidation, J. Appl. Phys., 12 (1941), 155–164. |
[5] | M. A. Biot, Theory of elasticity and consolidation for a porous anisotropic solid, J. Appl. Phys., 26 (1955), 182–185. |
[6] | A. Fick, Ueber diffusion, Annalen der Physik, 170 (1855), 59–86. |
[7] | C. Truesdell, Sulle basi della thermomeccanica, Atti della Accademia Nazionale dei Lincei, Rendiconti della Classe di Scienze Fisiche, 22 (1957), 33–38. |
[8] | R. J. Atkin and R. E. Craine, Continuum theories of mixtures: Basic theory and historical development, Q. J. Mech. Appl. Math., 29 (1976), 209–244. |
[9] | R. J. Atkin and R. E. Craine, Continuum theories of mixtures: Applications, J. I. Math. Appl., 17 (1976), 153–207. |
[10] | K. R. Rajagopal and L. Tao, Mechanics of mixtures, World Scientific, Singapore, 1995. |
[11] | J. I. Siddique, A. Ahmed, A. Aziz and C. M. Khalique, A review of mixture theory for deformable porous media and applications, Appl. Sci., 7 (2017), 1–15. |
[12] | D. E. Kenyon, The theory of an incompressible solid-fluid mixture, Arch. Ration. Mech., 62 (1976), 131–147. |
[13] | D. E. Kenyon, A mathematical model of water flux through aortic tissue, B. Math. Biol., 41 (1979), 79–90. |
[14] | G. Jayaraman, Water transport in the arterial wall: a theoretical study, J. Biomech., 16 (1983), 833–840. |
[15] | R. Jain and G. Jayaraman, A theoretical model for water flux through the arterial wall, J. Biomech. Eng., 109 (1987), 311–317. |
[16] | M. Klanchar and J. M. Tarbell, Modeling water flow through arterial tissue, B. Math. Biol., 49 (1987), 651–669. |
[17] | V. C. Mow and W. M. Lai, Mechanics of animal joints, Annu. Rev. Fluid Mech., 11 (1979), 247–288. |
[18] | W. M. Lai and V. C. Mow, Drag induced compression of articular cartilage during a permeation experiment, Biorheology, 17 (1980), 111–123. |
[19] | M. H. Holmes, Finite deformation of soft tissue: analysis of a mixture model in uni-axial compression, J. Biomech. Eng., 108 (1986), 372–381. |
[20] | A. Ahmed, J. I. Siddique and A. Mahmood, Non-Newtonian flow-induced deformation from pressurized cavities in absorbing porous tissues, Comput. Method. Biomec., 20 (2017), 1464–1473. |
[21] | C. W. J. Oomens, D. H. V. Campen and H. J. Grootenboer, A mixture approach to the mechanics of skin, J. Biomech., 20 (1987), 877–885. |
[22] | T. R. Ford, J. S. Sachs, J. B. Grotberg and M. R. Glucksberg, Mechanics of the perialveolar interstitium of the lung, First World Congress of Biomechanics, La Jolla, 1 (1990), 31. |
[23] | M. H. Friedman, General theory of tissue swelling with application to the corneal stroma, J. Theor. Biol., 30 (1971), 93–109. |
[24] | C. Nicholson, Diffusion from an injected volume of a substance in brain tissue with arbitrary volume fraction and tortuosity, Brain Res., 333 (1985), 325–329. |
[25] | N. T. M. Eldabe, G. Saddeek and K. A. S. Elagamy, Magnetohydrodynamic flow of a biviscosity fluid through porous medium in a layer of deformable material, J. Porous Media, 14 (2011), 273–283. |
[26] | J. I. Siddique and A. Kara, Capillary rise of magnetohydrodynamics liquid into deformable porous material, J. Appl. Fluid Mech., 9 (2016), 2837–2843. |
[27] | A. Naseem, A. Mahmood, J. I. Siddique and L. Zhao, Infiltration of MHD liquid into a deformable porous material, Results Phys., 8 (2018), 71–75. |
[28] | S. Sreenadh, K. V. Prasad, H. Vaidya, E. Sudhakara, G. Krishna and M. Krishnamurthy, MHD Couette Flow of a Jeffrey Fluid over a Deformable Porous Layer, Int. J. Appl. Comput. Math., 3 (2017), 2125–2138. |
[29] | J. Bagwell, J. Klawitter, B. Sauer and A. Weinstein, A study of bone growth into porous polyethylene, Presented at the Sixth Annual Biomaterials Symposium, Clemson University, Clemson, SC, USA, (1974), 20–24. |
[30] | R. M. Pilliar, H. V. Cameron and I. MacNab, Porous surface layered prosthetic devises, Biomed. Eng., 4 (1975), 12–16. |
[31] | M. L. Bansal, Magneto Therapy, Jain Publishers, New Delhi, 1976. |
[32] | P. N. Tandon, A. Chaurasia and T. Gupta, Comput. Math. Appl., 22 (1991), 33–45. |
[33] | S. I. Barry and G. K. Aldis, Flow-induced deformation from Pressurized cavities in absorbing porous tissues, B. Math. Biol., 54 (1992), 977–997. |
[34] | M. H. Holmes, A theoretical analysis for determining the nonlinear hydraulic permeability of a soft tissue from a permeation experiment, B. Math. Biol., 47 (1985), 669–683. |
[35] | S. I. Barry and G. K. Aldis, Radial flow through deformable porous shells, J. Aust. Math. Soc. B, 34 (1993), 333–354. |
[36] | J. S. Hou, M. H. Holmes,W. M. Lai and V. C. Mow, Boundary conditions at the cartilage-synovial fluid interface for joint lubrication and theoretical verifications, J. Biomech. Eng., 111 (1989), 78–87. |
[37] | M. Abramowitz and I. A. Stegun, Handbook of mathematical functions, New York, Dover, 1972. |
[38] | W. E. Schiesser, The numerical method of lines: Integration of partial differential equations, Academic Press, San Diego, 1991. |
[39] | A. Farina, P. Cocito and G. Boretto, Flow in deformable porous media: Modelling an simulations of compression moulding processes, Math. Comput. Model., 26 (1997), 1–15. |
[40] | S. I. Barry and G. K. Aldis, Fluid flow over a thin deformable porous layer, J. Appl. Math. Phys. (ZAMP), 42 (1991), 633–648. |
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