使用 BEM 对弹性力学问题进行基于水平集的拓扑优化

IF 17.7 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-07-16 DOI:10.3389/fphy.2024.1426846
Huiwen Li, Haifeng Gao, Jianguo Liang, Zhiqiang Li, Huidong Xu, Changjun Zheng
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引用次数: 0

摘要

本文介绍了使用边界元法(BEM)对二维弹性动力学问题进行拓扑优化的方法。拓扑导数是基于变异法和邻接变量法得出的。在指定的设计域内,采用水平集方法表示材料域和空隙。因此,可以根据水平集函数的零等值线轻松生成边界。通过数值实施,证明了所提出的拓扑优化方法在隔波和波导问题中的有效性。
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A level set based topology optimization for elastodynamic problems using BEM
The paper presents a topology optimization methodology for 2D elastodynamic problems using the boundary element method (BEM). The topological derivative is derived based on the variation method and the adjoint variable method. The level set method is employed for the representation of the material domain and voids within a specified design domain. Thus, the boundaries can easily be generated, following the zero isocontour of the level set function. Numerical implementation is carried out to demonstrate the effectiveness of the proposed topology optimization methodology in wave isolation and waveguide problems.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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