Finite element modeling of hyper-viscoelasticity of peripheral nerve ultrastructures. Issue 10 (16th July 2015)

• Record Type: Journal Article
• Authors: Chang, Cheng-Tao; Chen, Yu-Hsing; Lin, Chou-Ching K.; Ju, Ming-Shaung
• Is Part Of: Journal of biomechanics. Volume 48:Issue 10(2015)
• Page Start: 1982
• Page End: 1987
• Publication Date: 2015-07-16
• Subjects: Animal mechanics -- Periodicals; Biomechanics -- Periodicals; Biomechanics -- Periodicals; Mécanique animale -- Périodiques; Biomécanique -- Périodiques; Electronic journals; 571.4305
• DOI: 10.1016/j.jbiomech.2015.04.004
• Languages: English
• ISSNs: 0021-9290

Abstract

<abstract abstract-type="author" id="ab0010"> <title id="sect0005">Abstract</title> <sec> <p id="sp0040">The mechanical characteristics of ultrastructures of rat sciatic nerves were investigated through animal experiments and finite element analyses. A custom-designed dynamic testing apparatus was used to conduct <italic>in vitro</italic> transverse compression experiments on the nerves. The optical coherence tomography (OCT) was utilized to record the cross-sectional images of nerve during the dynamic testing. Two-dimensional finite element models of the nerves were built based on their OCT images. A hyper-viscoelastic model was employed to describe the elastic and stress relaxation response of each ultrastructure of the nerve, namely the endoneurium, the perineurium and the epineurium. The first-order Ogden model was employed to describe the elasticity of each ultrastructure and a generalized Maxwell model for the relaxation. The inverse finite element analysis was used to estimate the material parameters of the ultrastructures. The results show the instantaneous shear modulus of the ultrastructures in decreasing order is perineurium, endoneurium, and epineurium. The FE model combined with the first-order Ogden model and the second-order Prony series is good enough for describing the compress-and-hold response of the nerve ultrastructures. The integration of OCT and the nonlinear finite element modeling may be applicable to study the viscoelasticity of peripheral nerve down to the ultrastructural level.</p> </sec> </abstract>