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Author Senouci, Ahmed B.en_US
Author Al-Ansari, Mohammed S.en_US
Available date 2009-12-24T08:45:20Zen_US
Publication Date 2009-06-01en_US
Publication Name Advances in Engineering Software
Citation Ahmed B. Senouci, Mohammed S. Al-Ansari, Cost optimization of composite beams using genetic algorithms, Advances in Engineering Software, Volume 40, Issue 11, November 2009, Pages 1112-1118en_US
Abstract This paper presents a genetic algorithm model for the cost optimization of composite beams based on the load and resistance factor design (LRFD) specifications of the AISC. The model formulation includes the cost of concrete, steel beam, and shear studs. Two design examples taken from the literature were analyzed in order to validate the proposed model, to illustrate its use, and to demonstrate its capabilities in optimizing composite beam designs. The results obtained show that the model is capable of achieving substantial cost savings. Hence, it can be of practical value to structural designers. A parametric study was also conducted to investigate the effects of beam spans and loadings on the cost optimization of composite beams.en_US
Language enen_US
Publisher Elsevier Ltden_US
Subject Genetic algorithmsen_US
Subject Cost optimizationen_US
Subject Composite beamen_US
Subject Information technology (IT)en_US
Subject Computer-aided designen_US
Title Cost optimization of composite beams using genetic algorithmsen_US
Type Articleen_US

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