Discrete sizing design of steel truss bridges through teaching-learning-based and biogeography-based optimization algorithms involving dynamic constraints

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dc.authoridCARBAS, SERDAR/0000-0002-3612-0640
dc.contributor.authorArtar, Musa
dc.contributor.authorCarbas, Serdar
dc.date.accessioned2024-10-04T18:49:31Z
dc.date.available2024-10-04T18:49:31Z
dc.date.issued2021
dc.departmentBayburt Üniversitesien_US
dc.description.abstractIn this paper, Teaching-Learning Based Optimization (TLBO) and Biogeography-Based Optimization (BBO) algorithms are presented to examine the optimum discrete sizing design of steel truss steel bridges for minimizing the structural weights. Both proposed nature-inspired metaheuristic optimization algorithms are encoded in MATLAB with integration of a structural analysis program (SAP2000) via open application programming interface (OAPI). At the end, optimal steel profiles are selected from available discrete section lists by satisfying the structural restrictions, such as stress and displacement, involved by American Institute of Steel Construction-Allowable Stress Design (AISC-ASD). Additional to these, optimum discrete sizing design process is performed for the cases with and without dynamic constraints, which are adopted from natural periods of the bridge structures with respect to the mode shapes. The algorithmic performance of the proposed algorithms outperforms on both planar and spatial steel truss bridges. To prove this obtained optimal solutions are compared with previously reported optimum designs attaining via different metaheuristics. The final optimum discrete sizing designs of the steel truss bridges reveal that the proposed TLBO and BBO algorithms can easily be applied to discrete nonlinear programming problems.en_US
dc.identifier.doi10.1016/j.istruc.2021.09.101
dc.identifier.endpage3547en_US
dc.identifier.issn2352-0124
dc.identifier.scopus2-s2.0-85116593827en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage3533en_US
dc.identifier.urihttps://doi.org/10.1016/j.istruc.2021.09.101
dc.identifier.urihttp://hdl.handle.net/20.500.12403/3189
dc.identifier.volume34en_US
dc.identifier.wosWOS:000706272400001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofStructuresen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTeaching-learning based optimizationen_US
dc.subjectBiogeography-based optimizationen_US
dc.subjectStructural design optimizationen_US
dc.subjectDiscrete designen_US
dc.subjectSteel truss bridgesen_US
dc.titleDiscrete sizing design of steel truss bridges through teaching-learning-based and biogeography-based optimization algorithms involving dynamic constraintsen_US
dc.typeArticleen_US

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