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Studies of Biaxial Mechanical Properties and Nonlinear Finite Element Modeling of Skin

Xituan Shang*, Michael R. T. Yen1,†, M. Waleed Gaber
* Department of Biomedical Engineering,The University of Memphis, Memphis, TN 38152.
Corresponding Author. Department of Biomedical Engineering, ET-330, The University of Memphis, Memphis, TN 38152. Email: myen@memphis.edu, Tel: 901-678-3263.
Department of Biomedical Engineering,The University of Tennessee, Health Science Centerat Memphis, TN38163.

Molecular & Cellular Biomechanics 2010, 7(2), 93-104. https://doi.org/10.3970/mcb.2010.007.093

Abstract

The objective of this research is to conduct mechanical property studies of skin from two individual but potentially connected aspects. One is to determine the mechanical properties of the skin experimentally by biaxial tests, and the other is to use the finite element method to model the skin properties. Dynamic biaxial tests were performed on 16 pieces of abdominal skin specimen from rats. Typical biaxial stress-strain responses show that skin possesses anisotropy, nonlinearity and hysteresis. To describe the stress-strain relationship in forms of strain energy function, the material constants of each specimen were obtained and the results show a high correlation between theory and experiments. Based on the experimental results, a finite element model of skin was built to model the skin's special properties including anisotropy and nonlinearity. This model was based on Arruda and Boyce's eight-chain model and Bischoff et al.'s finite element model of skin. The simulation results show that the isotropic, nonlinear eight-chain model could predict the skin's anisotropic and nonlinear responses to biaxial loading by the presence of an anisotropic prestress state.

Keywords

Skin, Biaxial Mechanical Properties, Finite Element Modeling

Cite This Article

Shang, X., R., M., Gaber, M. W. (2010). Studies of Biaxial Mechanical Properties and Nonlinear Finite Element Modeling of Skin. Molecular & Cellular Biomechanics, 7(2), 93–104.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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