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contributor authorWitt, Nathan J.
contributor authorWoessner, Alan E.
contributor authorQuinn, Kyle P.
contributor authorSander, Edward A.
date accessioned2022-05-08T09:23:21Z
date available2022-05-08T09:23:21Z
date copyright12/17/2021 12:00:00 AM
date issued2021
identifier issn0148-0731
identifier otherbio_144_04_041008.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4285074
description abstractSkin is a complex tissue whose biomechanical properties are generally understood in terms of an incompressible material whose microstructure undergoes affine deformations. A growing number of experiments, however, have demonstrated that skin has a high Poisson's ratio, substantially decreases in volume during uniaxial tensile loading, and demonstrates collagen fiber kinematics that are not affine with local deformation. In order to better understand the mechanical basis for these properties, we constructed multiscale mechanical models (MSM) of mouse skin based on microstructural multiphoton microscopy imaging of the dermal microstructure acquired during mechanical testing. Three models that spanned the cases of highly aligned, moderately aligned, and nearly random fiber networks were examined and compared to the data acquired from uniaxially stretched skin. Our results demonstrate that MSMs consisting of networks of matched fiber organization can predict the biomechanical behavior of mouse skin, including the large decrease in tissue volume and nonaffine fiber kinematics observed under uniaxial tension.
publisherThe American Society of Mechanical Engineers (ASME)
titleMultiscale Computational Model Predicts Mouse Skin Kinematics Under Tensile Loading
typeJournal Paper
journal volume144
journal issue4
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.4052887
journal fristpage41008-1
journal lastpage41008-10
page10
treeJournal of Biomechanical Engineering:;2021:;volume( 144 ):;issue: 004
contenttypeFulltext


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