Show simple item record

AuthorSenouci, Ahmed B.
AuthorAl-Ansari, Mohammed S.
Available date2009-12-24T08:45:20Z
Publication Date2009-06-01
Publication NameAdvances in Engineering Software
CitationAhmed 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 1112-1118
AbstractThis 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.
PublisherElsevier Ltd
SubjectGenetic algorithms
SubjectCost optimization
SubjectComposite beam
SubjectInformation technology (IT)
SubjectComputer-aided design
TitleCost optimization of composite beams using genetic algorithms

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record