Multi-objective optimal design of hybrid composite laminates under eccentric loading

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dc.contributor.authorBeylergil, Bertan
dc.date.accessioned2021-02-19T21:16:53Z
dc.date.available2021-02-19T21:16:53Z
dc.date.issued2020
dc.departmentALKÜ
dc.description.abstractLaminated composites are being used in many engineering applications since they provide significant weight reduction, better fatigue and corrosion resistance. In this study, design optimization of a hybrid composite laminate subjected to eccentric loading was carried out using multi-objective genetic algorithm (MOGA). The ply material (carbon fiber or E glass) and fiber orientations (-90 <= theta <= 90) were considered as design variables. The objective function was to minimize cost and weight with the maximization of the stiffness. The design constraints were the maximum Tsai-Wu failure index, first mode natural frequency. The numerical analyses were carried out by using ANSYS software package. Genetic aggregation model was used to generate the response surfaces which were used to obtain the optimum design variables. The optimum lay-up sequence and ply materials were determined for weight saving and cost reduction of hybrid composite plates. It was shown that the hybridization of carbon fiber and E glass fiber provided the optimal designs offers lower cost and higher mechanical performance. MOGA method was very effective to optimize the structural performance of the hybrid composite plates under eccentric loading. (C) 2020 The Author. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University.
dc.identifier.doi10.1016/j.aej.2020.09.015
dc.identifier.endpage4983en_US
dc.identifier.issn1110-0168
dc.identifier.issn2090-2670
dc.identifier.issue6en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage4969en_US
dc.identifier.urihttps://doi.org/10.1016/j.aej.2020.09.015
dc.identifier.urihttps://hdl.handle.net/20.500.12868/578
dc.identifier.volume59en_US
dc.identifier.wosWOS:000605057200008
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorBeylergil, Bertan
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofAlexandria Engineering Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectGenetic algorithms
dc.subjectHybrid composites
dc.subjectOptimization
dc.subjectEccentric loading
dc.titleMulti-objective optimal design of hybrid composite laminates under eccentric loading
dc.typeArticle

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