A cost optimization-based design of precast concrete floors using genetic algorithms
The 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 struct...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | Brasil |
| Recursos: | Universidade Federal do Ceará (UFC) |
| Repositorio: | Repositório Institucional da Universidade Federal do Ceará (UFC) |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.ufc.br:riufc/62167 |
| Acesso em linha: | http://www.repositorio.ufc.br/handle/riufc/62167 |
| Access Level: | acceso abierto |
| Palavra-chave: | Structural optimization Precast concrete Genetic algorithm |
| Resumo: | The 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. |
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