Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9171
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dc.contributor.authorDeveci, Hamza Arda-
dc.contributor.authorArtem, Hatice Seçil-
dc.date.accessioned2020-07-25T22:07:34Z-
dc.date.available2020-07-25T22:07:34Z-
dc.date.issued2018-
dc.identifier.issn0731-6844-
dc.identifier.issn1530-7964-
dc.identifier.urihttps://doi.org/10.1177/0731684418791231-
dc.identifier.urihttps://hdl.handle.net/11147/9171-
dc.description.abstractIn this study, the estimation and optimization capabilities of the multiaxial fatigue life prediction models, namely, Failure Tensor Polynomial in Fatigue, Fawaz-Ellyin, Sims-Brogdon and Shokrieh-Taheri are investigated comparatively. Fatigue life predictions are obtained for multidirectional graphite/epoxy, glass/epoxy, carbon/epoxy and carbon/PEEK composite laminate data taken from the literature. The prediction study shows that the models can predict the fatigue behavior of the multidirectional laminates at different degrees of proximity. In the optimization, a hybrid algorithm combining particle swarm algorithm and generalized pattern search algorithm is used to search the optimum stacking sequence designs of the laminated composites for maximum fatigue life. The hybrid algorithm shows superior performance in terms of computational time and finding improved global optima compared to the best results presented in the literature. After the capability of the models and the reliability of the algorithm are revealed, several lay-up design problems involving different cyclic loading scenarios are solved. The results indicate that the reliability of the optimization may considerably change according to the used model even if the model may yield reasonable prediction results.en_US
dc.language.isoenen_US
dc.publisherSAGE Publicationsen_US
dc.relation.ispartofJournal of Reinforced Plastics and Compositesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectComposite laminatesen_US
dc.subjectMultiaxial fatigueen_US
dc.subjectLife predictionen_US
dc.subjectOptimizationen_US
dc.subjectHybrid algorithmen_US
dc.titleOn the estimation and optimization capabilities of the fatigue life prediction models in composite laminatesen_US
dc.typeArticleen_US
dc.institutionauthorDeveci, Hamza Arda-
dc.institutionauthorArtem, Hatice Seçil-
dc.departmentİzmir Institute of Technology. Mechanical Engineeringen_US
dc.identifier.volume37en_US
dc.identifier.issue21en_US
dc.identifier.startpage1304en_US
dc.identifier.endpage1321en_US
dc.identifier.wosWOS:000449554200002en_US
dc.identifier.scopus2-s2.0-85052318824en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1177/0731684418791231-
dc.relation.doi10.1177/0731684418791231en_US
dc.coverage.doi10.1177/0731684418791231en_US
dc.identifier.wosqualityQ2-
dc.identifier.scopusqualityQ1-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.languageiso639-1en-
item.fulltextWith Fulltext-
crisitem.author.dept03.10. Department of Mechanical Engineering-
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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