Isotropic incompressible hyperelastic models for modelling the mechanical behaviour of biological tissues: A review

  • Cora Wex
  • , Susann Arndt
  • , Anke Stoll
  • , Christiane Bruns
  • , Yuliya Kupriyanova*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

114 Citations (Scopus)

Abstract

Modelling the mechanical behaviour of biological tissues is of vital importance for clinical applications. It is necessary for surgery simulation, tissue engineering, finite element modelling of soft tissues, etc. The theory of linear elasticity is frequently used to characterise biological tissues; however, the theory of nonlinear elasticity using hyperelastic models, describes accurately the nonlinear tissue response under large strains. The aim of this study is to provide a review of constitutive equations based on the continuum mechanics approach for modelling the rate-independent mechanical behaviour of homogeneous, isotropic and incompressible biological materials. The hyperelastic approach postulates an existence of the strain energy function - a scalar function per unit reference volume, which relates the displacement of the tissue to their corresponding stress values. The most popular form of the strain energy functions as Neo-Hookean, Mooney-Rivlin, Ogden, Yeoh, Fung-Demiray, Veronda-Westmann, Arruda-Boyce, Gent and their modifications are described and discussed considering their ability to analytically characterise the mechanical behaviour of biological tissues. The review provides a complete and detailed analysis of the strain energy functions used for modelling the rate-independent mechanical behaviour of soft biological tissues such as liver, kidney, spleen, brain, breast, etc.

Original languageEnglish
Pages (from-to)577-592
Number of pages16
JournalBiomedizinische Technik
Volume60
Issue number6
DOIs
Publication statusPublished - 1 Dec 2015
Externally publishedYes

Keywords

  • Biological materials
  • Constitutive equations
  • Hyperelastic models

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