You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/40348
Full metadata record
DC FieldValueLanguage
dc.contributor.authorde Albuquerque, Augusto T.-
dc.contributor.authorEl Debs, Mounir K.-
dc.contributor.authorMelo, Antonio M. C.-
dc.date.accessioned2014-05-20T15:31:07Z-
dc.date.accessioned2016-10-25T18:06:52Z-
dc.date.available2014-05-20T15:31:07Z-
dc.date.available2016-10-25T18:06:52Z-
dc.date.issued2012-03-01-
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.issn0926-5805-
dc.identifier.urihttp://hdl.handle.net/11449/40348-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/40348-
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.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.language.isoeng-
dc.publisherElsevier B.V.-
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.typeoutro-
dc.contributor.institutionUniversidade Federal do Ceará (UFC)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
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.identifier.doi10.1016/j.autcon.2011.09.013-
dc.identifier.wosWOS:000301637500034-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofAutomation In Construction-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.