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A poro-hyper-viscoelastic rate-dependent constitutive modeling for the analysis of brain tissues

机译:脉络膜超粘弹性率依赖性本构模拟,用于分析脑组织

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In this paper, the dynamic behavior of bovine brain tissue, measured from in-vitro unconfined compression tests, is examined and represented through a viscoelastic biphasic model. The experiments have been carried out under three compression speeds of 10, 100, and 1000 mm/s. The results exhibited significant rate-dependent behavior. The brain tissue is modeled as a biphasic continuum consisting of a compressible solid matrix, fully saturated with an incompressible interstitial fluid. The governing equations based on conservation of mass and momentum are used to describe the solid-fluid interactions. An inverse scheme is employed in which a finite element model runs iteratively to optimize constitutive constants. The obtained material parameters of the proposed biphasic model show relatively good agreement (R-2 >= 0.96) with the experimental tissue mechanical responses at different rates. The model can successfully capture the key aspects of the rate-dependency for both solid and fluid phases under large strain deformation. This poro-hyper viscoelastic model can effectively estimate the global and local rate-dependent tissue deformations, the spatial variations in pore spaces, hydrostatic pressure as well as fluid diffusion through the tissue.
机译:在本文中,通过粘弹性双相模型检查并表示从体外非整合压缩试验的牛脑组织的动态行为。实验已经在三个压缩速度下进行了10,100和1000mm / s的。结果表现出显着的速率依赖性行为。脑组织被建模为由可压缩固体基质组成的双相连续体,完全饱和不可压缩的间质液。基于质量和动量守恒的控制方程用于描述固体流体相互作用。采用一种逆方案,其中有限元模型迭代地运行以优化本构常数。所得合适的双相模型的材料参数显示出相对较好的协议(R-2> = 0.96),具有不同速率的实验组织机械响应。该模型可以在大应变变形下成功捕获速率依赖性的速率依赖性的关键方面。这种浮标式粘弹性模型可以有效地估算全局和局部速率依赖的组织变形,孔隙空间的空间变化,静水压力以及通过组织的流体扩散。

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