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

被引:0
作者
Hongxiao Wang
Yugang Duan
Dilimulati Abulizi
Xiaohui Zhang
机构
[1] Xi’an Jiaotong University,State Key Lab for Manufacturing Systems Engineering
来源
Journal of Wuhan University of Technology-Mater. Sci. Ed. | 2017年 / 32卷
关键词
multi-island genetic algorithm; low-velocity impact; composite laminate; stacking sequence;
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中图分类号
学科分类号
摘要
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.
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页码:720 / 725
页数:5
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