Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5055
Title: Comparison of stochastic search optimization algorithms for the laminated composites under mechanical and hygrothermal loadings
Authors: Aydın, Levent
Artem, Hatice Seçil
Keywords: Laminated composites
Dimensional stability
Hygrothermal loading
Stochastic optimization
Issue Date: Jul-2011
Publisher: SAGE Publications Inc.
Source: Aydın, L., and Artem, H.S. (2011). Comparison of stochastic search optimization algorithms for the laminated composites under mechanical and hygrothermal loadings. Journal of Reinforced Plastics and Composites, 30(14), 1197-1212. doi:10.1177/0731684411415138
Abstract: The aim of the present study is to design the stacking sequence of the laminated composites that have low coefficient of thermal expansion and high elastic moduli. In design process, multi-objective genetic algorithm optimization of the carbon fiber laminated composite plates is verified by single objective optimization approach using three different stochastic optimization methods: genetic algorithm, generalized pattern search, and simulated annealing. However, both the multi- and single-objective approaches to laminate optimization have been used by considerably few authors. Simplified micromechanics equations, classical lamination theory, and MATLAB Symbolic Math toolbox are used to obtain the fitness functions of the optimization problems. Stress distributions of the optimized composites are presented through the thickness of the laminates subjected to mechanical, thermal, and hygral loadings.
URI: https://doi.org/10.1177/0731684411415138
http://hdl.handle.net/11147/5055
ISSN: 0731-6844
1530-7964
Appears in Collections:Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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