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Topology optimization of differentiable microstructures

delete2024-01-01
delete10
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OA
AI
X
Xiaoya Zhai
W
Weiming Wang
陈发来 (Falai Chen)
J
Jun Wu *
DOI:10.1016/j.cma.2023.116530delete
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Abstract

Abstract

En 中文
Recent years have seen a growing interest in topology optimization of functionally graded microstructures, characterized by an array of microstructures with varying volume fractions. However, microstructures optimized at slightly different volume fractions do not necessarily connect well when placed adjacently. Furthermore, optimization is commonly performed on a finite set of volume fractions, limiting the number of microstructure configurations.In this paper, we introduce the concept of differentiable microstructures, which are parameterized microstructures that exhibit continuous variations in both geometry and mechanical properties. To construct such microstructures, we propose a novel formulation for topology optimization. In this approach, a series of 2-dimensional microstructures is represented using a height field, and the objective is to maximize the bulk modulus of the entire series. Through this optimization process, an initial microstructure with a small volume fraction undergoes nonuniform transformations, generating a series of microstructures with progressively increasing volume fractions. Notably, when compared to traditional uniform morphing methods, our proposed optimization approach yields a series of microstructures with bulk moduli that closely approach the theoretical limit.
Keywords:
Topology optimization
Functionally graded microstructures
Inverse homogenization
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Journal

Computer Methods in Applied Mechanics and Engineering cover
Computer Methods in Applied Mechanics and Engineering
IF:
7.3
Papers:
1.3W
Citations:
5.6W

Organization

D
Delft University of Technology
Scholars:
2.6W
Papers: 2.5W
Citations: 3.8W
U
university of science & technology of china, cas
Scholars:
3.2W
Papers: 2.7W
Citations: 74
C
chinese academy of sciences
Scholars:
56.3W
Papers: 44.8W
Citations: 704
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