Literature DB >> 15538650

Nonlinear viscoelastic, thermodynamically consistent, models for biological soft tissue.

Henry W Haslach1.   

Abstract

The mechanical behavior of most biological soft tissue is nonlinear viscoelastic rather than elastic. Many of the models previously proposed for soft tissue involve ad hoc systems of springs and dashpots or require measurement of time-dependent constitutive coefficient functions. The model proposed here is a system of evolution differential equations, which are determined by the long-term behavior of the material as represented by an energy function of the type used for elasticity. The necessary empirical data is time independent and therefore easier to obtain. These evolution equations, which represent non-equilibrium, transient responses such as creep, stress relaxation, or variable loading, are derived from a maximum energy dissipation principle, which supplements the second law of thermodynamics. The evolution model can represent both creep and stress relaxation, depending on the choice of control variables, because of the assumption that a unique long-term manifold exists for both processes. It succeeds, with one set of material constants, in reproducing the loading-unloading hysteresis for soft tissue. The models are thermodynamically consistent so that, given data, they may be extended to the temperature-dependent behavior of biological tissue, such as the change in temperature during uniaxial loading. The Holzapfel et al. three-dimensional two-layer elastic model for healthy artery tissue is shown to generate evolution equations by this construction for biaxial loading of a flat specimen. A simplified version of the Shah-Humphrey model for the elastodynamical behavior of a saccular aneurysm is extended to viscoelastic behavior.

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Year:  2004        PMID: 15538650     DOI: 10.1007/s10237-004-0055-6

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  6 in total

1.  A rate-insensitive linear viscoelastic model for soft tissues.

Authors:  Wei Zhang; Henry Y Chen; Ghassan S Kassab
Journal:  Biomaterials       Date:  2007-05-05       Impact factor: 12.479

2.  Non-contact, ultrasound-based indentation method for measuring elastic properties of biological tissues using harmonic motion imaging (HMI).

Authors:  Jonathan Vappou; Gary Y Hou; Fabrice Marquet; Danial Shahmirzadi; Julien Grondin; Elisa E Konofagou
Journal:  Phys Med Biol       Date:  2015-03-17       Impact factor: 3.609

3.  Mapping the longitudinal wall stiffness heterogeneities within intact canine aortas using Pulse Wave Imaging (PWI) ex vivo.

Authors:  Danial Shahmirzadi; Prathyush Narayanan; Ronny X Li; William W Qaqish; Elisa E Konofagou
Journal:  J Biomech       Date:  2013-06-12       Impact factor: 2.712

4.  Viscoelastic characteristics of the canine cranial cruciate ligament complex at slow strain rates.

Authors:  Rosti Readioff; Brendan Geraghty; Ahmed Elsheikh; Eithne Comerford
Journal:  PeerJ       Date:  2020-12-22       Impact factor: 2.984

5.  Elastography method for reconstruction of nonlinear breast tissue properties.

Authors:  Z G Wang; Y Liu; G Wang; L Z Sun
Journal:  Int J Biomed Imaging       Date:  2009-07-09

6.  Modeling the afferent dynamics of the baroreflex control system.

Authors:  Adam Mahdi; Jacob Sturdy; Johnny T Ottesen; Mette S Olufsen
Journal:  PLoS Comput Biol       Date:  2013-12-12       Impact factor: 4.475

  6 in total

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