Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6075
Title: Buckling optimization of composite laminates using a hybrid algorithm under Puck failure criterion constraint
Authors: Deveci, Hamza Arda
Aydın, Levent
Artem, Hatice Seçil
Keywords: Buckling
Composite laminate
Hybrid algorithm
Optimization
Puck failure criterion
Issue Date: 1-Aug-2016
Publisher: SAGE Publications Inc.
Source: Deveci, H. A., Aydın, L., and Artem, H. S. (2016). Buckling optimization of composite laminates using a hybrid algorithm under Puck failure criterion constraint. Journal of Reinforced Plastics and Composites, 35(16), 1233-1247. doi:10.1177/0731684416646860
Abstract: In this study, an optimization procedure is proposed to find the optimum stacking sequence designs of laminated composite plates in different fiber angle domains for maximum buckling resistance. A hybrid algorithm combining genetic algorithm and trust region reflective algorithm is used in the optimization to obtain higher performance and improve the quality of solutions. As a novelty, Puck fiber and inter-fiber failure criteria are directly implemented to the optimization problems as nonlinear function constraints, which have allowed more consistent and feasible results. The performance of the hybrid algorithm is demonstrated by comparing with the individual performances of genetic and trust region reflective algorithms via test problems from the literature. Also, a study is performed to exhibit the effectiveness of the selected failure criterion as constraint among the other common criteria. The proposed procedure is used to solve many problems including various design considerations. The results indicate that reliable stacking sequence designs can be achieved in specific configurations even for the composite plates subjected to superior buckling loads when Puck physically based (3D) failure theory is considered as a first ply failure constraint in the buckling optimization.
URI: http://doi.org/10.1177/0731684416646860
http://hdl.handle.net/11147/6075
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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