Overall cost optimization of prestressed concrete bridge using genetic algorithm

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dc.authorid0000-0003-1597-998X
dc.authorscopusid35315593500
dc.authorscopusid6602986927
dc.authorwosidAydın, Zekeriya/ABA-5611-2020
dc.contributor.authorAydın, Zekeriya
dc.contributor.authorAyvaz, Yusuf
dc.date.accessioned2022-05-11T14:26:36Z
dc.date.available2022-05-11T14:26:36Z
dc.date.issued2013
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü
dc.description.abstractOverall cost optimization of Prestressed Concrete (PC) bridges is investigated in this study. The purpose of this study is to determine the optimum span number and optimum cross-sectional properties of multi-span bridges. Considered bridge superstructure is constituted by adjacent simply supported pretensioned prestressed I-girders. Also, considered bridge substructure is constituted by single-column piers and rectangular spread footings. Span number, cross-section dimensions of prestressed girders and the area of Prestressing Steel (PS) are considered as design variables. PC girders, piers and footings are designed according to AASHTO Standard Specifications for Highway Bridges. A modified hybrid Genetic Algorithm (GA) is used for the optimum design. Working stress, ultimate strength, ductility limits, deflection, and geometry constraints are considered. Total cost of the bridge is taken as optimality criterion. A computer program is coded to perform optimum design and numerical examples from the application are designed. One of these examples is used in this paper. It is concluded that GA can be effectively used in the overall cost optimization of PC bridges.
dc.identifier.doi10.1007/s12205-013-0355-4
dc.identifier.endpage776
dc.identifier.issn1226-7988
dc.identifier.issn1976-3808
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-84877102125
dc.identifier.scopusqualityQ2
dc.identifier.startpage769
dc.identifier.urihttps://doi.org/10.1007/s12205-013-0355-4
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6512
dc.identifier.volume17
dc.identifier.wosWOS:000318691000020
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAydın, Zekeriya
dc.language.isoen
dc.publisherKorean Society Of Civil Engineers-Ksce
dc.relation.ispartofKsce Journal of Civil Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectprestressed concrete
dc.subjectgenetic algorithm
dc.subjectoptimization
dc.subjectbridge
dc.subjectOptimum Design
dc.subjectFrames
dc.titleOverall cost optimization of prestressed concrete bridge using genetic algorithm
dc.typeArticle

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