Computation of Viscoelastic Shear Shock Waves Using Finite Volume Schemes With Artificial Compressibility

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Harold Berjamin
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引用次数: 0

Abstract

The formation of shear shock waves in the brain has been proposed as one of the plausible explanations for deep intracranial injuries. In fact, such singular solutions emerge naturally in soft viscoelastic tissues under dynamic loading conditions. To improve our understanding of the mechanical processes at hand, the development of dedicated computational models is needed. The present study concerns three-dimensional numerical models of incompressible viscoelastic solids whose motion is analysed by means of shock-capturing finite volume methods. More specifically, we focus on the use of the artificial compressibility method, a technique that has been frequently employed in computational fluid dynamics. The material behaviour is deduced from the Fung–Simo quasi-linear viscoelasiticity (QLV) theory where the elastic response is of Yeoh type. We analyse the accuracy of the method and demonstrate its applicability for the study of nonlinear wave propagation in soft solids. The numerical results cover accuracy tests, shock formation and wave focusing.

Abstract Image

黏弹性剪切激波的人工压缩有限体积格式计算
脑内剪切冲击波的形成被认为是深部颅内伤的合理解释之一。事实上,在动态加载条件下,这种奇异解在软粘弹性组织中自然出现。为了提高我们对机械过程的理解,需要开发专门的计算模型。本文研究了不可压缩粘弹性固体的三维数值模型,用激波捕获有限体积法对其运动进行了分析。更具体地说,我们侧重于人工压缩率方法的使用,这是一种在计算流体动力学中经常使用的技术。根据Fung-Simo准线性粘弹性(QLV)理论推导了材料的特性,其中弹性响应为Yeoh型。我们分析了该方法的准确性,并证明了它在软固体中非线性波传播研究中的适用性。数值结果包括精度测试、激波形成和波聚焦。
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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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