Literature DB >> 23387789

Experimental characterization and finite element implementation of soft tissue nonlinear viscoelasticity.

Kevin L Troyer1, Snehal S Shetye, Christian M Puttlitz.   

Abstract

Finite element (FE) models of articular joint structures do not typically implement the fully nonlinear viscoelastic behavior of the soft connective tissue components. Instead, contemporary whole joint FE models usually represent the transient soft tissue behavior with significantly simplified formulations that are computationally tractable. The resultant fidelity of these models is greatly compromised with respect to predictions under temporally varying static and dynamic loading regimes. In addition, models based upon experimentally derived nonlinear viscoelastic coefficients that do not account for the transient behavior during the loading event(s) may further reduce the model's predictive accuracy. The current study provides the derivation and validation of a novel, phenomenological nonlinear viscoelastic formulation (based on the single integral nonlinear superposition formulation) that can be directly inputted into FE algorithms. This formulation and an accompanying experimental characterization technique, which incorporates relaxation manifested during the loading period of stress relaxation experiments, is compared to a previously published characterization method and validated against an independent analytical model. The results demonstrated that the static and dynamic FE approximations are in good agreement with the analytical solution. Additionally, the predictive accuracy of these approximations was observed to be highly dependent upon the experimental characterization technique. It is expected that implementation of the novel, computationally tractable nonlinear viscoelastic formulation and associated experimental characterization technique presented in the current study will greatly improve the predictive accuracy of the individual connective tissue components for whole joint FE simulations subjected to static and dynamic loading regimes.

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Year:  2012        PMID: 23387789     DOI: 10.1115/1.4007630

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  7 in total

1.  Surface deformation and reaction force estimation of liver tissue based on a novel nonlinear mass-spring-damper viscoelastic model.

Authors:  Árpád Takács; Imre J Rudas; Tamás Haidegger
Journal:  Med Biol Eng Comput       Date:  2015-12-30       Impact factor: 2.602

2.  Modelling approaches for evaluating multiscale tendon mechanics.

Authors:  Fei Fang; Spencer P Lake
Journal:  Interface Focus       Date:  2016-02-06       Impact factor: 3.906

3.  Comparison of in vivo and ex vivo viscoelastic behavior of the spinal cord.

Authors:  Nicole L Ramo; Snehal S Shetye; Femke Streijger; Jae H T Lee; Kevin L Troyer; Brian K Kwon; Peter Cripton; Christian M Puttlitz
Journal:  Acta Biomater       Date:  2017-12-26       Impact factor: 8.947

4.  Nonlinear viscoelastic characterization of the porcine spinal cord.

Authors:  Snehal S Shetye; Kevin L Troyer; Femke Streijger; Jae H T Lee; Brian K Kwon; Peter A Cripton; Christian M Puttlitz
Journal:  Acta Biomater       Date:  2013-11-07       Impact factor: 8.947

5.  Skeletal muscle tensile strain dependence: Hyperviscoelastic nonlinearity.

Authors:  Benjamin B Wheatley; Duane A Morrow; Gregory M Odegard; Kenton R Kaufman; Tammy L Haut Donahue
Journal:  J Mech Behav Biomed Mater       Date:  2015-09-08

6.  The development and validation of a numerical integration method for non-linear viscoelastic modeling.

Authors:  Nicole L Ramo; Christian M Puttlitz; Kevin L Troyer
Journal:  PLoS One       Date:  2018-01-02       Impact factor: 3.240

Review 7.  Current Understanding of the Biomechanics of Ventricular Tissues in Heart Failure.

Authors:  Wenqiang Liu; Zhijie Wang
Journal:  Bioengineering (Basel)       Date:  2019-12-20
  7 in total

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