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适用于动态速率的脑组织全非线性黏弹性模型。

A fully nonlinear viscohyperelastic model for the brain tissue applicable to dynamic rates.

机构信息

Computational Solid Mechanics Laboratory, Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.

出版信息

J Biomech. 2019 Feb 14;84:211-217. doi: 10.1016/j.jbiomech.2019.01.007. Epub 2019 Jan 11.

Abstract

Understanding the mechanical response of the brain to external loadings is of critical importance in investigating the pathological conditions of this tissue during injurious conditions. Such injurious loadings may occur at high rates, for example among others, during road traffic or sport accidents, falls, or due to explosions. Hence, investigating the injury mechanism and design of protective devices for the brain requires constitutive modeling of this tissue at such rates. Accordingly, this paper is aimed at critically investigating the physical background for viscohyperelastic modeling of the brain tissue with scrutinizing the elastic fields pertinent to large, time dependent deformations, and developing a fully nonlinear multimode Maxwell model that can mathematically explain such deformations. The proposed model can be calibrated using the simple monotonic uniaxial deformation of the sample extracted from the tissue, and does not require additional information from relaxation or creep experiments. The performance of the proposed model is examined using the experimental results of two different studies, which reveals a desirable agreement. The usefulness, limitations, and future developments of the proposed model are discussed in this paper.

摘要

了解大脑对外加载荷的力学响应对于研究组织在损伤条件下的病理状态至关重要。这种损伤性载荷可能以很高的速率发生,例如在道路交通或运动事故、跌倒或爆炸中。因此,研究损伤机制和设计大脑的保护装置需要在这种速率下对组织进行本构建模。因此,本文旨在批判性地研究脑组织粘弹性建模的物理背景,仔细研究与大的、随时间变化的变形相关的弹性场,并开发一个能够从数学上解释这种变形的完全非线性多模式 Maxwell 模型。该模型可以使用从组织中提取的简单单调单轴变形来校准,并且不需要从松弛或蠕变实验中获取额外信息。使用来自两个不同研究的实验结果来检查所提出模型的性能,结果表明该模型具有令人满意的一致性。本文讨论了所提出模型的有用性、局限性和未来发展。

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