Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22660
Title: Provision of reinforcement in concrete solids using the generalized genetic algorithm
Authors: Su, RKL
Yan, LW
Law, CW
Huang, JL
Cheng, YM 
Keywords: Adaptive random mutation
Generalized genetic algorithm
Heterogeneous strategy
Population isolation
Reinforcement design
Three-dimensional stress field
Issue Date: 2011
Publisher: American Society of Civil Engineers
Source: Journal of computing in civil engineering, 2011, v. 25, no. 3, p. 211-217 How to cite?
Journal: Journal of computing in civil engineering 
Abstract: A generalized genetic algorithm has been developed to find the global optimal reinforcement contents for a concrete solid structure subjected to a general three-dimensional (3D) stress field. Feasible solutions were examined based on the genetic algorithm, and the heterogeneous strategy used ensures that all of the local optimal regions are searched and the most optimal reinforcement content found. The effectiveness of the proposed approach has been validated by comparing the steel contents evaluated using the present method with those obtained from other available methods. A more economic design is achieved by the proposed algorithm. The method developed provides the designer with a valuable tool for the determination of reinforcements in complicated solid concrete structures.
URI: http://hdl.handle.net/10397/22660
ISSN: 0887-3801
EISSN: 1943-5487
DOI: 10.1061/(ASCE)CP.1943-5487.0000083
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