Flexural Design of Reinforced Concrete Frames Using a Genetic Algorithm

A design procedure implementing a genetic algorithm is developed for discrete optimization of reinforced concrete frames (RC-GA). The design procedure conforms to the American Concrete Institute (ACI) Building Code and Commentary. The objective of the RC-GA procedure is to minimize the material and...

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Bibliographic Details
Published inJournal of structural engineering (New York, N.Y.) Vol. 129; no. 1; pp. 105 - 115
Main Authors Camp, Charles V, Pezeshk, Shahram, Hansson, Håkan
Format Journal Article
LanguageEnglish
Published Reston, VA American Society of Civil Engineers 01.01.2003
Subjects
Applied sciences
Buildings. Public works
Concretes. Mortars. Grouts
Exact sciences and technology
Materials
Reinforced concrete
TECHNICAL PAPERS
Bending strength
Frame structure
Frame
Genetic algorithm
Columns
Concrete
Beam(mechanics)
Strength
Reinforced concrete
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ISSN0733-9445
1943-541X
DOI10.1061/(ASCE)0733-9445(2003)129:1(105)

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Summary:A design procedure implementing a genetic algorithm is developed for discrete optimization of reinforced concrete frames (RC-GA). The design procedure conforms to the American Concrete Institute (ACI) Building Code and Commentary. The objective of the RC-GA procedure is to minimize the material and construction costs of reinforced concrete structural elements subjected to serviceability and strength requirements described by the ACI Code. Examples are presented demonstrating the efficiency of the RC-GA procedure for the flexural design of simply-supported beams, uniaxial columns, and multi-story frames.
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SourceType-Scholarly Journals-1
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ISSN:0733-9445
1943-541X
DOI:10.1061/(ASCE)0733-9445(2003)129:1(105)