On the application of genetic algorithms for optimising composites against impact loading

Matthew Yong, Brian G Falzon, Lorenzo Iannucci

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)

Abstract

A genetic algorithm (GA) was adopted to optimise the response of a composite laminate subject to impact. Two different impact scenarios are presented: low-velocity impact of a slender laminated strip and high-velocity impact of a rectangular plate by a spherical impactor. In these cases, the GA's objective was to, respectively, minimise the peak deflection and minimise penetration by varying the ply angles. The GA was coupled to a commercial finite-element (FE) package LS DYNA to perform the impact analyses. A comparison with a commercial optimisation package, LS OPT, was also made. The results showed that the GA was a robust, capable optimisation tool that produced near optimal designs, and performed well with respect to LS OPT for the more complex high-velocity impact scenario tested.
Original languageEnglish
Pages (from-to)1293-1302
Number of pages10
JournalInt J Impact Eng
Volume35
Issue number11
DOIs
Publication statusPublished - 2008
Externally publishedYes

Keywords

  • Composites Finite elements Genetic algorithms Impact Optimisation Algorithms Bioelectric phenomena Carbon fiber reinforced plastics Diesel engines Plates (structural components) Composite laminates Deflection (ovalization) Finite element (FE) Genetic algorithm (GA) High-velocity impacts Impact loadings Impact scenarios Impactor Low velocity impact (LVI) LS-DYNA Optimal designs Ply angles Rectangular plates Spherical(pivot)

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