Application of genetic algorithms (GA) for the optimization of riveted joints

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dc.authorid0000-0002-5829-3489en_US
dc.authorid0000-0001-9530-2922en_US
dc.contributor.authorBaşkal, Tamer
dc.contributor.authorNursoy, Mustafa
dc.contributor.authorEsme, Uğur
dc.contributor.authorKülekçi, Mustafa Kemal
dc.date.accessioned2021-06-23T19:35:01Z
dc.date.available2021-06-23T19:35:01Z
dc.date.issued2013
dc.departmentBAİBÜ, Gerede Uygulamalı Bilimler Fakültesi, Finans ve Bankacılık Bölümüen_US
dc.description.abstractGenetic algorithms have an effective search technique in a predefined research space based on natural selection theory. They use the same combination of selection, recombination, and mutation to evolve a solution to a problem. In this study, it has been demonstrated how to determine the optimal diameter, sheet thickness, and sheet width in riveted joints by means of genetic algorithms (GA). In this study the optimization of objective function for the variables in predetermined limit ranges was applied. Since the algorithms developed by this way are based on a principle to find out the best within a range like genetic process, it is becoming possible to predict the most suitable values for riveted junction dimensions in the defined limit range. The algorithms were restrained considering rivet diameter, thickness and width of the sheet, shear strength, tensile strength, and tear hazard of the sheet.en_US
dc.identifier.doi10.3139/120.110490
dc.identifier.endpage705en_US
dc.identifier.issn0025-5300
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-84885110354en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage701en_US
dc.identifier.urihttps://doi.org/10.3139/120.110490
dc.identifier.urihttps://hdl.handle.net/20.500.12491/7689
dc.identifier.volume55en_US
dc.identifier.wosWOS:000324011600013en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorNursoy, Mustafa
dc.language.isoenen_US
dc.publisherCarl Hanser Verlagen_US
dc.relation.ispartofMaterials Testingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleApplication of genetic algorithms (GA) for the optimization of riveted jointsen_US
dc.typeArticleen_US

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Finans ve Bankacılık Bölümü Koleksiyonu
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