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一种用于分析脑组织中流体和物质传输的双相超弹性模型。

A biphasic hyperelastic model for the analysis of fluid and mass transport in brain tissue.

作者信息

García José Jaime, Smith Joshua H

机构信息

Escuela de Ingeniería Civil y Geomática, Universidad del Valle, Calle 13-Carrera 100, Edificio 350, Cali, Colombia.

出版信息

Ann Biomed Eng. 2009 Feb;37(2):375-86. doi: 10.1007/s10439-008-9610-0. Epub 2008 Dec 5.

Abstract

A biphasic hyperelastic finite element model is proposed for the description of the mechanical behavior of brain tissue. The model takes into account finite deformations through an Ogden-type hyperelastic compressible function and a hydraulic conductivity dependent on deformation. The biphasic equations, implemented here for spherical symmetry using an updated Lagrangian algorithm, yielded radial coordinates and fluid velocities that were used with the convective-diffusive equation in order to predict mass transport in the brain. Results of the model were equal to those of a closed-form solution under infinitesimal deformations, however, for a wide range of material parameters, the model predicted important increments in the infusion sphere, reductions of the fluid velocities, and changes in the species content distribution. In addition, high localized deformation and stresses were obtained at the infusion sphere. Differences with the infinitesimal solution may be mainly attributed to geometrical nonlinearities related to the increment of the infusion sphere and not to material nonlinearities.

摘要

提出了一种双相超弹性有限元模型来描述脑组织的力学行为。该模型通过奥格登型超弹性可压缩函数和依赖于变形的水力传导率来考虑有限变形。在此使用更新的拉格朗日算法实现的双相方程,得到了径向坐标和流体速度,这些与对流扩散方程一起用于预测大脑中的物质传输。在小变形情况下,该模型的结果与封闭形式解的结果相同,然而,对于广泛的材料参数范围,该模型预测注入球有显著增大、流体速度降低以及物质含量分布变化。此外,在注入球处获得了高度局部化的变形和应力。与小变形解的差异可能主要归因于与注入球增大相关的几何非线性,而非材料非线性。

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