Optimum design of steel frames against progressive collapse by guided simulated annealing algorithm

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dc.contributor.authorTayfur, Bilal
dc.contributor.authorDaloglu, Ayse T.
dc.date.accessioned2024-10-04T18:52:34Z
dc.date.available2024-10-04T18:52:34Z
dc.date.issued2024
dc.departmentBayburt Üniversitesien_US
dc.description.abstractIn this paper, a Guided Simulated Annealing (GSA) algorithm is presented to optimize 2D and 3D steel frames against Progressive Collapse. Considering the nature of structural optimization problems, a number of restrictions and improvements have been applied to the decision mechanisms of the algorithm without harming the randomness. With these improvements, the algorithm aims to focus relatively on the flawed variables of the analyzed frame. Besides that, it is intended to be more rational by instituting structural constraints on the sections to be selected as variables. In addition to the LRFD restrictions, the alternate path method with nonlinear dynamic procedure is used to assess the risk of progressive collapse, as specified in the US Department of Defense United Facilities Criteria (UFC) Design of Buildings to Resist Progressive Collapse. The entire optimization procedure was carried out on a C# software that supports parallel processing developed by the authors, and the frames were analyzed in SAP2000 using OAPI. Time history analyses of the removal scenarios are distributed to the processor cores in order to reduce computational time. The GSA produced 3% lighter structure weights than the SA (Simulated Annealing) and 4% lighter structure weights than the GA (Genetic Algorithm) for the 2D steel frame. For the 3D model, the GSA obtained 3% lighter results than the SA. Furthermore, it is clear that the UFC and LRFD requirements differ when the acceptance criteria are examined. It has been observed that the moment capacity of the entire frame is critical when designing according to UFC.en_US
dc.identifier.doi10.12989/scs.2024.50.5.583
dc.identifier.endpage594en_US
dc.identifier.issn1229-9367
dc.identifier.issn1598-6233
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85188156849en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage583en_US
dc.identifier.urihttps://doi.org/10.12989/scs.2024.50.5.583
dc.identifier.urihttp://hdl.handle.net/20.500.12403/3564
dc.identifier.volume50en_US
dc.identifier.wosWOS:001200782500002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTechno-Pressen_US
dc.relation.ispartofSteel and Composite Structuresen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectoptimizationen_US
dc.subjectprogressive collapseen_US
dc.subjectsimulated annealingen_US
dc.subjectsteel structuresen_US
dc.titleOptimum design of steel frames against progressive collapse by guided simulated annealing algorithmen_US
dc.typeArticleen_US

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