基于有序simp相场模型的多材料热弹性结构拓扑优化

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Minh Ngoc Nguyen , Nhon Nguyen-Thanh , Shunhua Chen , Tinh Quoc Bui
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引用次数: 0

摘要

提出了一种热弹性结构多材料拓扑优化的相场方法。基于有序固体各向同性材料罚化(ordered SIMP)模型,将相场变量解释为归一化密度,作为拓扑优化的设计变量。在归一化密度的每个区间内插值材料属性。有序SIMP的优点是设计变量的数量不依赖于材料的数量。在提出的方法中,相场演化由一个Allen-Cahn型方程控制,并引入了考虑多种物质相的多井势函数。这一特点使得当前的方法不同于以往的工作,在以前的工作中,需要大量的相场演化方程。与最初的有序SIMP模型相反,该模型仅针对受机械载荷的结构而开发,目前的方法结合了考虑导热系数和热应力系数的插值方案。通过各种基准算例并与文献中可用的参考结果进行比较,对所开发方法的可行性和性能进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-material topology optimization of thermoelastic structures by an ordered SIMP-based phase field model
This paper presents a phase field approach to multi-material topology optimization of thermo-elastic structures. Based on the ordered Solid Isotropic Material with Penalization (ordered SIMP) model, the phase field variable is interpreted as the normalized density, which is used as the design variable in topology optimization. The material properties are interpolated in each interval of the normalized density. The advantage of ordered SIMP is that the number of design variables does not depend on the number of materials. In the proposed method, phase field evolution is governed by one Allen-Cahn type equation, with the introduction of a multiple-well potential function to take into account multiple material phases. This feature makes the current approach different from previous works, where numerous phase field evolution equations are needed. In contrast to the original ordered SIMP model, which was developed for structures subjected to only mechanical load, the current approach incorporates interpolation schemes to account for both thermal conductivity and thermal stress coefficient. An assessment of the feasibility and performance of the developed method is conducted via various benchmark examples and comparison with available reference results in the literature.
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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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