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

Matthew Yong; Brian G Falzon; Lorenzo Iannucci

doi:10.1016/j.ijimpeng.2007.10.004

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

Matthew Yong
, Brian G Falzon
, Lorenzo Iannucci

Imperial College

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

48 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 language	English
Pages (from-to)	1293-1302
Number of pages	10
Journal	Int J Impact Eng
Volume	35
Issue number	11
DOIs	https://doi.org/10.1016/j.ijimpeng.2007.10.004
Publication status	Published - 2008
Externally published	Yes

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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10.1016/j.ijimpeng.2007.10.004

Cite this

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title = "On the application of genetic algorithms for optimising composites against impact loading",

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.",

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AB - 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.

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

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