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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 37
INFORMATION PROCESSING IN CIVIL AND STRUCTURAL ENGINEERING DESIGN
Edited by: B. Kumar
Paper VI.4

Constraint-based Genetic Algorithm Optimization Applied to Reinforced Concrete Design

W.K. Lucas and W.M.K. Roddis

Civil and Environmental Engineering Department, University of Kansas, Lawrence, United States of America

Full Bibliographic Reference for this paper
W.K. Lucas, W.M.K. Roddis, "Constraint-based Genetic Algorithm Optimization Applied to Reinforced Concrete Design", in B. Kumar, (Editor), "Information Processing in Civil and Structural Engineering Design", Civil-Comp Press, Edinburgh, UK, pp 171-175, 1996. doi:10.4203/ccp.37.6.4
Abstract
The preliminary specification of a constraint-based design system for structural concrete that uses a genetic algorithm for search is presented. Example constraints are given for a singly reinforced rectangular concrete beam cross-section. Concrete design and detailing requirements can be conveniently represented in the context of constraint-based reasoning. Coupling functional constraints with a genetic algorithm is found to be a promising approach to deal with the combinatorial difficulties and potential for over constraint encountered in actual structural concrete design problems.

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