Literature DB >> 24817769

Non-linear micromechanics of soft tissues.

Huan Chen1, Xuefeng Zhao1, Xiao Lu1, Ghassan Kassab2.   

Abstract

Microstructure-based constitutive models have been adopted in recent studies of non-linear mechanical properties of biological soft tissues. These models provide more accurate predictions of the overall mechanical responses of tissues than phenomenological approaches. Based on standard approximations in non-linear mechanics, we classified the microstructural models into three categories: (1) uniform-field models with solid-like matrix, (2) uniform-field models with fluid-like matrix, and (3) second-order estimate models. The first two categories assume affine deformation field where the deformation of microstructure is the same as that of the tissue, regardless of material heterogeneities; i.e., they represent the upper bounds of the exact effective strain energy and stress of soft tissues. In addition, the first type is not purely structurally motivated and hence cannot accurately predict the microscopic mechanical behaviors of soft tissues. The third category considers realistic geometrical features, material properties of microstructure and interactions among them and allows for flexible deformation in each constituent. The uniform-field model with fluid-like matrix and the second-order estimate model are microstructure-based, and can be applied to different tissues based on micro-structural features.

Entities:  

Keywords:  Collagen; Collagenous tissue; Constitutive relation; Elastin; Microstructure; Non-affine deformation

Year:  2013        PMID: 24817769      PMCID: PMC4012686          DOI: 10.1016/j.ijnonlinmec.2013.03.002

Source DB:  PubMed          Journal:  Int J Non Linear Mech        ISSN: 0020-7462            Impact factor:   2.985


  39 in total

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3.  A validated 3D microstructure-based constitutive model of coronary artery adventitia.

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5.  Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention.

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  6 in total

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