Multiscale Computational Model Predicts Mouse Skin Kinematics Under Tensile Loading.
Multiscale Computational Model Predicts Mouse Skin Kinematics Under Tensile Loading.
复制标题
多尺度计算模型预测拉伸载荷下的小鼠皮肤运动学。
DOI：
10.1115/1.4052887
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Sander,EdwardA
中科院分区：
文献类型：
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作者：
Witt,NathanJ;Woessner,AlanE;Quinn,KyleP;Sander,EdwardA
皮肤是一种复杂的组织，其生物力学特性通常被理解为不可压缩的材料，其微观结构经历仿射变形。然而，越来越多的实验已经证明，皮肤具有高泊松比，在单轴拉伸载荷期间体积显著减小，并且证明胶原纤维运动学不与局部变形仿射。为了更好地了解这些性能的机械基础，我们构建了多尺度力学模型（MSM）的小鼠皮肤的基础上获得的真皮微观结构的微观结构的多光子显微镜成像的机械测试。三个模型，跨越高度对齐的情况下，适度对齐，几乎随机的纤维网络进行了检查，并从单轴拉伸皮肤获得的数据进行比较。我们的研究结果表明，由匹配的纤维组织网络组成的MSM可以预测小鼠皮肤的生物力学行为，包括单轴拉伸下观察到的组织体积和非仿射纤维运动学的大幅减少。
Skin 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.