THE OPTIMIZATION OF COMPOSITE LAMINATES CONSIDERING IN-SITU EFFECT BY ADAPTIVE GENETIC ALGORITHM

Abstract

Abstract: The prediction of laminated composite strength was influenced by in-situ effect of the ply, further influencing the optimization of composite laminates with strength ratio as the goal. MATLAB programming and ABAQUS analysis were developed to build an optimization platform for composite laminate optimization by genetic algorithm, which include standard genetic algorithm, adaptive genetic algorithm and adaptive genetic algorithm considering the in-situ effect. An example of a laminate under unidirectional loading was performed by using the optimization platform. The results show that optimization efficiency was improved by using adaptive genetic algorithm. The results also show that not only the fitness of the individual using adaptive genetic algorithm considering in-situ effect is better, but also the laminate with optimized stacking sequence has a higher strength ratio. Thus a more accurate and reasonable optimization for composite laminates was realised.

Key words: composite laminate, in-situ effect, genetic algorithm, optimization design

CLC Number:

TB332

WANG Xuan, XU Nuo, ZHOU Chun-ping, DING Chang-fang. THE OPTIMIZATION OF COMPOSITE LAMINATES CONSIDERING IN-SITU EFFECT BY ADAPTIVE GENETIC ALGORITHM[J]. COMPOSITES SCIENCE AND ENGINEERING, 2020, 0(12): 15-20.

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