跳到主要导航 跳到搜索 跳到主要内容

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

科研成果: 期刊稿件文章同行评审

12 引用 (Scopus)

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.

源语言英语
页(从-至)720-725
页数6
期刊Journal Wuhan University of Technology, Materials Science Edition
32
3
DOI
出版状态已出版 - 1 6月 2017

学术指纹

探究 'Design optimization of CFRP stacking sequence using a multi-island genetic algorithms under low-velocity impact loads' 的科研主题。它们共同构成独一无二的指纹。

引用此