基于光滑有限元法的生物结构模态分析

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Jingui Zhao , Guirong Liu , Jinhui Zhao , Gang Wang , Zhonghu Wang , Zirui Li
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引用次数: 0

摘要

光滑的有限元模型表现出“软化效应”,导致与标准有限元模型相比刚度降低。本研究采用自动生成四面体网格的光滑有限元法(s - fem)对任意动力作用下的生物结构进行模态分析。开发了各种S-FEM模型,包括四面体网格框架(称为ES/FS/NS-FEM-T4)内基于边缘、基于面和基于节点的跨单元平滑域。利用梯度平滑技术,获得应变-位移矩阵的过程只需要形状函数的值,而不需要形状函数的逆,也不需要映射。此外,通过在基于节点的平滑域框架中引入应变梯度的泰勒展开项,我们引入了一种基于稳定节点的平滑有限元方法(SNS-FEM)。此外,我们将Lanczos算法和模态叠加技术集成到S-FEM模型中,以计算人体骨结构的瞬态响应。根据标准有限元法对s - fem得到的结果进行了精度、收敛性和计算效率的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modal analysis of biological structures based on the smoothed finite element methods
The smoothed finite element model exhibits a "softening effect," resulting in reduced stiffness compared to the standard finite element model. This study employs the smoothed finite element methods (S-FEMs) with automatically generated tetrahedral meshes to perform modal analysis of biological structures subjected to arbitrary dynamic forces. Various S-FEM models are developed, including Edge-based, Face-based, and Node-based cross-element smoothing domains within the tetrahedral mesh framework, referred to as ES/FS/NS-FEM-T4. Using the gradient smoothing technique, the process of obtaining the strain-displacement matrix requires only the value of the shape function, not the inverse of the shape function, and no mapping is required. Additionally, by incorporating a Taylor expansion term for the strain gradient within the node-based smoothing domain framework, we introduce a stable node-based smoothed finite element method (SNS-FEM). Furthermore, the Lanczos algorithm and the modal superposition technique are integrated into our S-FEM models to compute the transient response of bone structures within the human body. The results obtained from S-FEMs are evaluated against the standard finite element method with respect to accuracy, convergence, and computational efficiency.
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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