MULTIOBJECTIVE OPTIMIZATION FOR UNIDIRECTIONAL GLASS AND CARBON FIBER-REINFORCED HYBRID EPOXY COMPOSITES UNDER FLEXURAL LOADING

被引：2
|
作者：
Dong, Chensong [1 ]
机构：
[1] Curtin Univ, Dept Mech Engn, GPO Box U1987, Perth, WA 6845, Australia
来源：
COMPOSITES-MECHANICS COMPUTATIONS APPLICATIONS | 2019年 / 10卷 / 01期
关键词：
polymer-matrix composites; carbon fiber; glass fiber; hybrid; flexural strength; cost; weight; optimization; S-2; GLASS; ALGORITHM; RELIABILITY; DESIGN;
D O I：
10.1615/CompMechComputApplIntJ.2018021035
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
A multiobjective optimization study for unidirectional carbon fiber- and glass fiber- reinforced epoxy hybrid composites under flexural loading is presented in this paper. The flexural strength of the hybrid composite was conveniently expressed by regression formulas. Two optimization methods-WSM and NSGA-II-were employed for multiobjective optimization with the cost and weight being the objective functions. When WSM was used, two algorithms, viz., interior point algorithm (IPA) and genetic algorithm (GA), were used. The results suggest that positive hybrid effects can be utilized to improve the flexural strength.
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页码：39 / 68
页数：30
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