Literature DB >> 35330673

A Hybrid Biphasic Mixture Formulation for Modeling Dynamics in Porous Deformable Biological Tissues.

Jay J Shim1, Gerard A Ateshian1.   

Abstract

The primary aim of this study is to establish the theoretical foundations for a solid-fluid biphasic mixture domain that can accommodate inertial effects and a viscous interstitial fluid, which can interface with a dynamic viscous fluid domain. Most mixture formulations consist of constituents that are either all intrinsically incompressible or compressible, thereby introducing inherent limitations. In particular, mixtures with intrinsically incompressible constituents can only model wave propagation in the porous solid matrix, whereas those with compressible constituents require internal variables, and related evolution equations, to distinguish the compressibility of the solid and fluid under hydrostatic pressure. In this study, we propose a hybrid framework for a biphasic mixture where the skeleton of the porous solid is intrinsically incompressible but the interstitial fluid is compressible. We define a state variable as a measure of the fluid volumetric strain. Within an isothermal framework, the Clausius-Duhem inequality shows that a function of state arises for the fluid pressure as a function of this strain measure. We derive jump conditions across hybrid biphasic interfaces, which are suitable for modeling hydrated biological tissues. We then illustrate this framework using confined compression and dilatational wave propagation analyses. The governing equations for this hybrid biphasic framework reduce to those of the classical biphasic theory whenever the bulk modulus of the fluid is set to infinity and inertia terms and viscous fluid effects are neglected. The availability of this novel framework facilitates the implementation of finite element solvers for fluid-structure interactions at interfaces between viscous fluids and porous-deformable biphasic domains, which can include fluid exchanges across those interfaces.

Entities:  

Year:  2021        PMID: 35330673      PMCID: PMC8939891          DOI: 10.1007/s00419-020-01851-8

Source DB:  PubMed          Journal:  Arch Appl Mech        ISSN: 0939-1533            Impact factor:   1.976


  36 in total

1.  A mixed-penalty biphasic finite element formulation incorporating viscous fluids and material interfaces.

Authors:  B Chan; P S Donzelli; R L Spilker
Journal:  Ann Biomed Eng       Date:  2000-06       Impact factor: 3.934

2.  Multigenerational interstitial growth of biological tissues.

Authors:  Gerard A Ateshian; Tim Ricken
Journal:  Biomech Model Mechanobiol       Date:  2010-03-18

3.  A biphasic model for micro-indentation of a hydrogel-based contact lens.

Authors:  Xiaoming Chen; Alison C Dunn; W Gregory Sawyer; Malisa Sarntinoranont
Journal:  J Biomech Eng       Date:  2007-04       Impact factor: 2.097

4.  A poroelastic model for the perfusion of the lamina cribrosa in the optic nerve head.

Authors:  Paola Causin; Giovanna Guidoboni; Alon Harris; Daniele Prada; Riccardo Sacco; Samuele Terragni
Journal:  Math Biosci       Date:  2014-08-19       Impact factor: 2.144

5.  Finite deformation of soft tissue: analysis of a mixture model in uni-axial compression.

Authors:  M H Holmes
Journal:  J Biomech Eng       Date:  1986-11       Impact factor: 2.097

6.  The nonlinear interaction between cartilage deformation and interstitial fluid flow.

Authors:  V C Mow; J M Mansour
Journal:  J Biomech       Date:  1977       Impact factor: 2.712

7.  An analysis of the squeeze-film lubrication mechanism for articular cartilage.

Authors:  J S Hou; V C Mow; W M Lai; M H Holmes
Journal:  J Biomech       Date:  1992-03       Impact factor: 2.712

8.  Experimental verification of the roles of intrinsic matrix viscoelasticity and tension-compression nonlinearity in the biphasic response of cartilage.

Authors:  Chun-Yuh Huang; Michael A Soltz; Monika Kopacz; Van C Mow; Gerard A Ateshian
Journal:  J Biomech Eng       Date:  2003-02       Impact factor: 2.097

9.  The permeability of articular cartilage under compressive strain and at high pressures.

Authors:  J M Mansour; V C Mow
Journal:  J Bone Joint Surg Am       Date:  1976-06       Impact factor: 5.284

10.  Coupling poroelasticity and CFD for cerebrospinal fluid hydrodynamics.

Authors:  Brett Tully; Yiannis Ventikos
Journal:  IEEE Trans Biomed Eng       Date:  2009-03-16       Impact factor: 4.538

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  1 in total

1.  Arterial vasodilation drives convective fluid flow in the brain: a poroelastic model.

Authors:  Ravi Teja Kedarasetti; Patrick J Drew; Francesco Costanzo
Journal:  Fluids Barriers CNS       Date:  2022-05-15
  1 in total

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