通过基于周动力学的 SIMP 方法优化防止脆性断裂结构的拓扑结构

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2024-10-16 DOI:10.1016/j.cma.2024.117438
Weisheng Zhang , Yuan Liu , Jian Zhang , Jialun Li , Xu Guo , Sung-Kie Youn
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引用次数: 0

摘要

在工程实践中,由脆性材料组成的结构的抗断裂性能非常重要。在这项工作中,我们探索了周动力学(PD)在结构抗脆断优化中的应用。在基于 PD 的分析框架下,提出了一种抗断裂拓扑优化方案,其中采用了两种基于断裂的策略来改善结构的断裂行为。第一种策略将常规断裂能作为约束条件。第二个约束条件是建立在基于 PD 框架的独特概念 "键 "上的键拉伸,它将基于能量的断裂抗力控制平滑地转换为直观且数学上可操作的几何表达。拓扑优化是在 SIMP 框架下进行的,通过材料点给键分配密度,以表示拓扑变化和裂缝产生。数值示例和实验证明,所提出的策略可以保证优化结构的安全性,防止断裂失效的发生。
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Topology optimization of structures guarding against brittle fracture via peridynamics-based SIMP approach
Fracture resistance of structures consisting of brittle materials is significantly important in engineering practice. In this work, we explore the application of peridynamics (PD) in the optimization of structures against brittle fracture. A fracture resistance topology optimization scheme under the PD-based analysis framework is proposed, where two fracture-based strategies are adopted to improve the structural fracture behavior. The first one sets the conventional fracture energy as a constraint. While the second constraint is the bond stretch established on the unique concept “bond” of the PD framework, which smoothly transfers the energy-based fracture resistance control to an intuitive and mathematically tractable geometric expression. The topology optimization is carried out under the SIMP framework, where densities are assigned to the bonds via material points to represent the topology changes and crack generation. Numerical examples and experiments demonstrate that the proposed strategies can guarantee the safety of the optimized structure against the occurrence of fracture failure.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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