Design optimization of CFRP stacking sequence using a multi-island genetic algorithms under low-velocity impact loads

Hongxiao Wang , Yugang Duan , Dilimulati Abulizi , Xiaohui Zhang

Journal of Wuhan University of Technology Materials Science Edition ›› 2017, Vol. 32 ›› Issue (3) : 720 -725.

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Journal of Wuhan University of Technology Materials Science Edition ›› 2017, Vol. 32 ›› Issue (3) : 720 -725. DOI: 10.1007/s11595-017-1658-y
Organic Materials

Design optimization of CFRP stacking sequence using a multi-island genetic algorithms under low-velocity impact loads

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Abstract

A method to improve the low-velocity impact performance of composite laminate is proposed, and a multi-island genetic algorithm is used for the optimization of composite laminate stacking sequence under low-velocity impact loads based on a 2D dynamic impact finite element analysis. Low-velocity impact tests and compression-after impact (CAI) tests have been conducted to verify the effectiveness of optimization method. Experimental results show that the impact damage areas of the optimized laminate have been reduced by 42.1% compared to the baseline specimen, and the residual compression strength has been increased by 10.79%, from baseline specimen 156.97 MPa to optimized 173.91 MPa. The tests result shows that optimization method can effectively enhance the impact performances of the laminate.

Keywords

multi-island genetic algorithm / low-velocity impact / composite laminate / stacking sequence

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Hongxiao Wang, Yugang Duan, Dilimulati Abulizi, Xiaohui Zhang. Design optimization of CFRP stacking sequence using a multi-island genetic algorithms under low-velocity impact loads. Journal of Wuhan University of Technology Materials Science Edition, 2017, 32(3): 720-725 DOI:10.1007/s11595-017-1658-y

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