Patch optimization method of composite laminates considering implicit constraints

doi:10.19936/j.cnki.2096-8000.20220528.008

Abstract

Abstract: In order to solve the problem that the implicit constraints are less considered in the traditional optimization design of composite laminates, or the constraint processing is carried out by agent models and penalty functions, a patch optimization method considering implicit constraints is proposed. The direct processing of implicit constraints is realized by constructing the MATLAB-Python-ABAQUS joint simulation optimization framework. The mathematical model of patch optimization is established, which takes the discrete fiber orientation as the design variable, the minimum compliance as the objective function, the symmetry manufacturing and the strength as constraints. The joint simulation optimization and genetic algorithm are combined to solve the optimization problem. Numerical examples show that this method can effectively solve the implicit constraint, obtain the optimized ply scheme, and improve the structural performance.

Key words: implicit constraint, joint simulation optimization, patch optimization, discrete fiber orientation, genetic algorithm, composites

CLC Number:

TB332

YAN Jin-shun, SUN Peng-wen, ZHAO Xiong-xiang, MA Zhi-kun, YU Ze-lin. Patch optimization method of composite laminates considering implicit constraints[J]. COMPOSITES SCIENCE AND ENGINEERING, 2022, 0(5): 61-65.

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