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dc.contributor.authorAlbuquerque, Augusto Teixeira de-
dc.contributor.authorEl Debs, Mounir Khalil-
dc.contributor.authorMelo, Antônio Macário Cartaxo de-
dc.date.accessioned2021-11-18T11:41:20Z-
dc.date.available2021-11-18T11:41:20Z-
dc.date.issued2012-
dc.identifier.citationALBUQUERQUE, Augusto Teixeira de; EL DEBS, Mounir Khalil; MELO, Antônio Macário Cartaxo de. A cost optimization-based design of precast concrete floors using genetic algorithms. Automation in Construction, v. 22, p. 348–356, mar. 2012.pt_BR
dc.identifier.issn0926-5805-
dc.identifier.otherdoi:10.1016/j.autcon.2011.09.013-
dc.identifier.urihttp://www.repositorio.ufc.br/handle/riufc/62167-
dc.description.abstractThe integrated design optimization, not only the element optimization, is considered a strong trend. The inte-grated 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 precastfloor design opti-mization tool, calledDSSPF(Decision Support System for Precast Floors), for precast concrete structures using GAand considers the cost impact at all construction phases like manufacture, transport and erecting in the structuralconception. An example indicating the DSSPF results are very consistent with the results of an existing design isfurther presented. Based onthe results obtained, the DSSPF isconsidereda powerful novel tool to assistdesignersin the choice of structural layout and initial element dimensioning phases.pt_BR
dc.language.isopt_BRpt_BR
dc.publisherElsevier Ltd.pt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectStructural optimizationpt_BR
dc.subjectPrecast concretept_BR
dc.subjectGenetic algorithmpt_BR
dc.titleA cost optimization-based design of precast concrete floors using genetic algorithmspt_BR
dc.typeArtigo de Periódicopt_BR
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