Composites: Mechanics, Computations, Applications: An International Journal
年間 4 号発行
ISSN 印刷: 2152-2057
ISSN オンライン: 2152-2073
IF:
0.2
5-Year IF:
0.3
Eigenfactor:
0.00004
JCI:
0.08
SJR:
0.153
SNIP:
0.178
CiteScore™::
1
H-Index:
12
Indexed in
MULTIOBJECTIVE OPTIMIZATION FOR UNIDIRECTIONAL GLASS AND CARBON FIBER-REINFORCED HYBRID EPOXY COMPOSITES UNDER FLEXURAL LOADING
巻 10,
発行 1, 2019,
pp. 39-68
DOI: 10.1615/CompMechComputApplIntJ.2018021035
要約
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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