Robust topology optimization of continuum structures with smooth boundaries using moving morphable components

被引：0
作者：
Seyyed Ali Latifi Rostami
Amin Kolahdooz
Hayoung Chung
Maolin Shi
Jian Zhang
机构：
[1] Northwestern Polytechnical University,Ocean Institute
[2] Jiangsu University,Faculty of Civil Engineering and Mechanics
[3] De Montfort University,School of Engineering and Sustainable Development, Faculty of Technology
[4] Ulsan National Institute of Science and Technology,Department of Mechanical Engineering
[5] Jiangsu University,School of Agricultural Engineering
来源：
Structural and Multidisciplinary Optimization | 2023年 / 66卷
关键词：
Robust topology optimization; Continuum structure; Moving morphable components; Sparse grid collocation; Uncertainty;
D O I：
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中图分类号：
学科分类号：
摘要：
Topology optimization has been increasingly used in various industrial designs as a numerical tool to optimize the material layout of a structure. However, conventional topology optimization approaches implicitly describe the structural design and require additional post-processing to generate a manufacturable topology with smooth boundaries. To this end, this paper proposes a novel robust topology optimization approach to produce an optimized topology with smooth boundaries directly. A truncated Karhunen–Loeve expansion and a sparse grid collocation method are integrated with the explicit moving morphable components method for uncertainty representation and propagation, respectively. The performance of the proposed method is assessed on three numerical examples of continuum structures under loading and material uncertainties through comparison with several robust topology optimization approaches. Results show that the proposed method is superior to the benchmark methods in terms of the balance among robustness of the objective function, boundary smoothness, and computational efficiency.
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