Buckling optimization of laminated composite plates using genetic algorithm and generalized pattern search algorithm

In this paper, genetic algorithm and generalized pattern search algorithm are used for optimal stacking sequence of a composite panel, which is simply supported on four sides and is subject to biaxial in-plane compressive loads. The problem has several global optimum configurations in the vicinity o...

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Vydané v:	Structural and multidisciplinary optimization Ročník 39; číslo 5; s. 477 - 486
Hlavní autori:	Karakaya, Şükrü, Soykasap, Ömer
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer-Verlag 01.11.2009 Springer Nature B.V
Predmet:	Aspect ratio Buckling Composite structures Computational Mathematics and Numerical Analysis Engineering Engineering Design Genetic algorithms Graphite fiber reinforced plastics Graphite-epoxy composites Optimization Pattern search Plates (structural members) Production scheduling Research Paper Search algorithms Stacking sequence (composite materials) Theoretical and Applied Mechanics Genetic algorithm Composites Optimization
ISSN:	1615-147X, 1615-1488
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Abstract	In this paper, genetic algorithm and generalized pattern search algorithm are used for optimal stacking sequence of a composite panel, which is simply supported on four sides and is subject to biaxial in-plane compressive loads. The problem has several global optimum configurations in the vicinity of local optima. The composite plate under consideration is 64-ply laminate made of graphite/epoxy. The laminate is taken to be symmetric and balanced, comprised of two-ply stacks with discrete fiber angles of 0 2 , ± 45, 90 2 in the laminate sequence. The critical buckling loads are maximized for several combinations of load case and plate aspect ratio, and are compared with published results. Performance of both algorithms is compared in terms of capability of identifying global optima. It is found that genetic algorithm is efficient for problems with global optima.
AbstractList	In this paper, genetic algorithm and generalized pattern search algorithm are used for optimal stacking sequence of a composite panel, which is simply supported on four sides and is subject to biaxial in-plane compressive loads. The problem has several global optimum configurations in the vicinity of local optima. The composite plate under consideration is 64-ply laminate made of graphite/epoxy. The laminate is taken to be symmetric and balanced, comprised of two-ply stacks with discrete fiber angles of 0 2 , ± 45, 90 2 in the laminate sequence. The critical buckling loads are maximized for several combinations of load case and plate aspect ratio, and are compared with published results. Performance of both algorithms is compared in terms of capability of identifying global optima. It is found that genetic algorithm is efficient for problems with global optima. In this paper, genetic algorithm and generalized pattern search algorithm are used for optimal stacking sequence of a composite panel, which is simply supported on four sides and is subject to biaxial in-plane compressive loads. The problem has several global optimum configurations in the vicinity of local optima. The composite plate under consideration is 64-ply laminate made of graphite/epoxy. The laminate is taken to be symmetric and balanced, comprised of two-ply stacks with discrete fiber angles of 02, ± 45, 902 in the laminate sequence. The critical buckling loads are maximized for several combinations of load case and plate aspect ratio, and are compared with published results. Performance of both algorithms is compared in terms of capability of identifying global optima. It is found that genetic algorithm is efficient for problems with global optima.
Author	Karakaya, Şükrü Soykasap, Ömer
Author_xml	– sequence: 1 givenname: Şükrü surname: Karakaya fullname: Karakaya, Şükrü organization: Faculty of Technical Education, Afyon Kocatepe University, A.N.S. Campus – sequence: 2 givenname: Ömer surname: Soykasap fullname: Soykasap, Ömer email: soykasap@aku.edu.tr organization: Faculty of Technical Education, Afyon Kocatepe University, A.N.S. Campus
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SubjectTerms	Aspect ratio Buckling Composite structures Computational Mathematics and Numerical Analysis Engineering Engineering Design Genetic algorithms Graphite fiber reinforced plastics Graphite-epoxy composites Optimization Pattern search Plates (structural members) Production scheduling Research Paper Search algorithms Stacking sequence (composite materials) Theoretical and Applied Mechanics
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Title	Buckling optimization of laminated composite plates using genetic algorithm and generalized pattern search algorithm
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