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• W2053210366 abstract "The skin, being a multi-layered material, is responsible for protecting the human body from the mechanical, bacterial, and viral insults. The skin tissue may display different mechanical properties according to the anatomical locations of a body. However, these mechanical properties in different anatomical regions and at different loading directions (axial and circumferential) of the mice body to date have not been determined. In this study, the axial and circumferential loads were imposed on the mice skin samples. The elastic modulus and maximum stress of the skin tissues were measured before the failure occurred. The nonlinear mechanical behavior of the skin tissues was also computationally investigated through a suitable constitutive equation. Hyperelastic material model was calibrated using the experimental data. Regardless of the anatomic locations of the mice body, the results revealed significantly different mechanical properties in the axial and circumferential directions and, consequently, the mice skin tissue behaves like a pure anisotropic material. The highest elastic modulus was observed in the back skin under the circumferential direction (6.67 MPa), while the lowest one was seen in the abdomen skin under circumferential loading (0.80 MPa). The Ogden material model was narrowly captured the nonlinear mechanical response of the skin at different loading directions. The results help to understand the isotropic/anisotropic mechanical behavior of the skin tissue at different anatomical locations. They also have implications for a diversity of disciplines, i.e., dermatology, cosmetics industry, clinical decision making, and clinical intervention." @default.
• W2053210366 created "2016-06-24" @default.
• W2053210366 creator A5043868274 @default.
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• W2053210366 date "2014-09-30" @default.
• W2053210366 modified "2023-09-24" @default.
• W2053210366 title "Determination of the axial and circumferential mechanical properties of the skin tissue using experimental testing and constitutive modeling" @default.
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• W2053210366 doi "https://doi.org/10.1080/10255842.2014.961441" @default.
• W2053210366 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25266627" @default.
• W2053210366 hasPublicationYear "2014" @default.
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