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dc.contributor.authorZhang, Will
dc.contributor.authorCapilnasiu, Adela
dc.contributor.authorSommer, Gerhard
dc.contributor.authorHolzapfel, Gerhard
dc.contributor.authorNordsletten, David A.
dc.date.accessioned2021-04-07T07:30:22Z
dc.date.available2021-04-07T07:30:22Z
dc.date.created2020-05-19T12:15:49Z
dc.date.issued2020
dc.identifier.citationComputer Methods in Applied Mechanics and Engineering. 2020, 362 1-33.en_US
dc.identifier.issn0045-7825
dc.identifier.urihttps://hdl.handle.net/11250/2736485
dc.description.abstractWhile experimental evidence indicates that the mechanical response of most tissues is viscoelastic, current biomechanical models in the computational community often assume hyperelastic material models. Fractional viscoelastic constitutive models have been successfully used in literature to capture viscoelastic material response; however, the translation of these models into computational platforms remains limited. Many experimentally derived viscoelastic constitutive models are not suitable for three-dimensional simulations. Furthermore, the use of fractional derivatives can be computationally prohibitive, with a number of current numerical approximations having a computational cost that is and a storage cost that is ( denotes the number of time steps). In this paper, we present a novel numerical approximation to the Caputo derivative which exploits a recurrence relation similar to those used to discretize classic temporal derivatives, giving a computational cost that is and a storage cost that is fixed over time. The approximation is optimized for numerical applications, and an error estimate is presented to demonstrate the efficacy of the method. The method, integrated into a finite element solid mechanics framework, is shown to be unconditionally stable in the linear viscoelastic case. It was then integrated into a computational biomechanical framework, with several numerical examples verifying the accuracy and computational efficiency of the method, including in an analytic test, in an analytic fractional differential equation, as well as in a computational biomechanical model problem.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.titleAn efficient and accurate method for modeling nonlinear fractional viscoelastic biomaterialsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1-33en_US
dc.source.volume362en_US
dc.source.journalComputer Methods in Applied Mechanics and Engineeringen_US
dc.identifier.doi10.1016/j.cma.2020.112834
dc.identifier.cristin1811677
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2020 by Elsevieren_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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