Skip to main navigation Skip to search Skip to main content

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
  • Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

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.

Original languageEnglish
Pages (from-to)720-725
Number of pages6
JournalJournal Wuhan University of Technology, Materials Science Edition
Volume32
Issue number3
DOIs
StatePublished - 1 Jun 2017

Keywords

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

Fingerprint

Dive into the research topics of 'Design optimization of CFRP stacking sequence using a multi-island genetic algorithms under low-velocity impact loads'. Together they form a unique fingerprint.

Cite this