Incorporating interface effects into multi-material topology optimization by improving interface configuration: An energy-based approach

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2024-08-24 DOI:10.1016/j.cma.2024.117325
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Abstract

Interfaces between structural multi-materials generally exhibit asymmetric resistance to tension and compression. Given this interface behavior, this work suggests an energy-based approach to improve the interface configuration for multi-material topology optimization. Based on the strain spectral decomposition, we decompose the structural elastic strain energy into tensile and compressive portions. In the density-based topology optimization framework, we use the gradient-based method to track the interface between multiple materials. Then, we construct an interface-associated scalar field to penalize the tensile portion of the strain energy, causing a pseudo-degradation of the strain energy at the interface region. Finally, within limited material usages and by minimizing the linear weighted structural strain energy and its pseudo-degradation, multi-material topology optimization with improved interface configuration is achieved. Several 2D and 3D numerical examples are investigated, by which the effectiveness and robustness of the suggested approach are fairly validated.

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通过改进界面配置,将界面效应纳入多材料拓扑优化:基于能量的方法
结构性多材料之间的界面通常表现出不对称的抗拉和抗压性能。鉴于这种界面行为,本研究提出了一种基于能量的方法来改进界面配置,从而实现多材料拓扑优化。基于应变谱分解,我们将结构弹性应变能分解为拉伸和压缩两部分。在基于密度的拓扑优化框架中,我们使用基于梯度的方法来跟踪多种材料之间的界面。然后,我们构建一个与界面相关的标量场来惩罚应变能的拉伸部分,从而在界面区域造成应变能的伪衰减。最后,在有限的材料使用范围内,通过最小化线性加权结构应变能及其伪退化,实现了改进界面配置的多材料拓扑优化。通过对几个二维和三维数值示例的研究,相当程度上验证了所建议方法的有效性和稳健性。
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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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