A cost optimization-based design of precast concrete floors using genetic algorithms

dc.contributor.authorde Albuquerque, Augusto T.
dc.contributor.authorEl Debs, Mounir K. [UNESP]
dc.contributor.authorMelo, Antonio M. C.
dc.contributor.institutionUniversidade Federal do Ceará (UFC)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:31:07Z
dc.date.available2014-05-20T15:31:07Z
dc.date.issued2012-03-01
dc.description.abstractThe integrated design optimization, not only the element optimization, is considered a strong trend. The integrated optimization involves the three major stages of an engineering design process namely conceptual design, embodiment design and detailing design. This paper presents an integrated structural precast floor design optimization tool, called DSSPF (Decision Support System for Precast Floors), for precast concrete structures using GA and considers the cost impact at all construction phases like manufacture, transport and erecting in the structural conception. An example indicating the DSSPF results are very consistent with the results of an existing design is further presented. Based on the results obtained, the DSSPF is considered a powerful novel tool to assist designers in the choice of structural layout and initial element dimensioning phases. (C) 2011 Elsevier B.V. All rights reserved.en
dc.description.affiliationUniversidade Federal do Ceará (UFC), Dept Struct Engn & Construct, Fortaleza, Ceara, Brazil
dc.description.affiliationState Univ São Paulo, Dept Struct Engn, São Paulo, Brazil
dc.description.affiliationUnespState Univ São Paulo, Dept Struct Engn, São Paulo, Brazil
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipFundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico (FUNCAP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent348-356
dc.identifierhttp://dx.doi.org/10.1016/j.autcon.2011.09.013
dc.identifier.citationAutomation In Construction. Amsterdam: Elsevier B.V., v. 22, p. 348-356, 2012.
dc.identifier.doi10.1016/j.autcon.2011.09.013
dc.identifier.issn0926-5805
dc.identifier.urihttp://hdl.handle.net/11449/40348
dc.identifier.wosWOS:000301637500034
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofAutomation In Construction
dc.relation.ispartofjcr4.032
dc.relation.ispartofsjr1,613
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectStructural optimizationen
dc.subjectPrecast concreteen
dc.subjectGenetic algorithmen
dc.titleA cost optimization-based design of precast concrete floors using genetic algorithmsen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.

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