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 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 struct...

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Bibliographic Details
Published in:Automation in construction 2012-03, Vol.22, p.348-356
Main Authors: de Albuquerque, Augusto T., El Debs, Mounir K., Melo, Antonio M.C.
Format: Article
Language:English
Subjects:
Applied sciences
Building structure
Buildings
Buildings. Public works
Computation methods. Tables. Charts
Concrete structure
Construction (buildings and works)
Construction costs
Design engineering
Design optimization
Exact sciences and technology
External envelopes
Floor. Ceiling
Genetic algorithm
Phases
Precast
Precast concrete
Project management. Process of design
Reinforced concrete
Structural analysis. Stresses
Structural optimization
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Summary: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.
ISSN:0926-5805
1872-7891
DOI:10.1016/j.autcon.2011.09.013