基于虚拟物理模型的考虑屏蔽和穿透特征的拓扑优化

IF 7.6 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2025-03-15 Epub Date: 2025-02-06 DOI:10.1016/j.cma.2025.117805
Daiki Soma , Kota Sakai , Takayuki Yamada
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引用次数: 0

摘要

本文提出了考虑屏蔽和穿透特性的拓扑优化方法。该方法基于虚拟物理模型这一控制几何特征的有效方法,分析虚拟稳态温度场,通过检测温度变化来解释目标的几何特征。首先,介绍了基于水平集方法的拓扑优化的概念。接下来,解释了考虑几何特征的虚拟物理模型的基本思想。然后,澄清了屏蔽和穿透特征的区别,并提出了用于评估屏蔽和穿透特征的虚拟物理模型。在此基础上,对几何条件下的最小平均柔度问题进行了拓扑优化。最后,通过二维和三维数值算例验证了该方法的有效性。
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Topology optimization considering shielding and penetrating features based on fictitious physical model
This paper proposes topology optimization for considering shielding and penetrating features. Based on the fictitious physical model, which is a useful approach to control geometric features, the proposed method analyzes fictitious steady-state temperature fields and interprets target geometric features by examining the temperature change. First, the concept of topology optimization based on the level set method is introduced. Next, the basic idea of the fictitious physical model for considering geometric features is explained. Then, the differences between the shielding and penetrating features are clarified, and the fictitious physical model for evaluating these features is proposed. Furthermore, topology optimization for the minimum mean compliance problem with geometric conditions is formulated. Finally, 2D and 3D numerical examples are presented to validate the proposed method.
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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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