A cost optimization-based design of precast concrete floors using genetic algorithms
dc.contributor.author | de Albuquerque, Augusto T. | |
dc.contributor.author | El Debs, Mounir K. [UNESP] | |
dc.contributor.author | Melo, Antonio M. C. | |
dc.contributor.institution | Universidade Federal do Ceará (UFC) | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2014-05-20T15:31:07Z | |
dc.date.available | 2014-05-20T15:31:07Z | |
dc.date.issued | 2012-03-01 | |
dc.description.abstract | The 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.affiliation | Universidade Federal do Ceará (UFC), Dept Struct Engn & Construct, Fortaleza, Ceara, Brazil | |
dc.description.affiliation | State Univ São Paulo, Dept Struct Engn, São Paulo, Brazil | |
dc.description.affiliationUnesp | State Univ São Paulo, Dept Struct Engn, São Paulo, Brazil | |
dc.description.sponsorship | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) | |
dc.description.sponsorship | Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico (FUNCAP) | |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.format.extent | 348-356 | |
dc.identifier | http://dx.doi.org/10.1016/j.autcon.2011.09.013 | |
dc.identifier.citation | Automation In Construction. Amsterdam: Elsevier B.V., v. 22, p. 348-356, 2012. | |
dc.identifier.doi | 10.1016/j.autcon.2011.09.013 | |
dc.identifier.issn | 0926-5805 | |
dc.identifier.uri | http://hdl.handle.net/11449/40348 | |
dc.identifier.wos | WOS:000301637500034 | |
dc.language.iso | eng | |
dc.publisher | Elsevier B.V. | |
dc.relation.ispartof | Automation In Construction | |
dc.relation.ispartofjcr | 4.032 | |
dc.relation.ispartofsjr | 1,613 | |
dc.rights.accessRights | Acesso restrito | |
dc.source | Web of Science | |
dc.subject | Structural optimization | en |
dc.subject | Precast concrete | en |
dc.subject | Genetic algorithm | en |
dc.title | A cost optimization-based design of precast concrete floors using genetic algorithms | en |
dc.type | Artigo | |
dcterms.license | http://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy | |
dcterms.rightsHolder | Elsevier B.V. |
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