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Optimum Design of Reinforced Concrete Beam Using Genetic Algorithms  

Kim, Bong-Ik (Dept. of Ocean Civil Engineering, Gyeongsang Univ)
Kwon, Jung-Hyun (Dept. of Ocean Civil Engineering, Gyeongsang Univ)
Publication Information
Journal of Ocean Engineering and Technology / v.23, no.6, 2009 , pp. 131-135 More about this Journal
Abstract
We present an optimum design method for a rectangular reinforced concrete beam using Genetic Algorithms. The optimum design procedure in this paper employs 2 design cases: i) all of the design variables (b, d, As) of the rectangular reinforced concrete section are used pseudo-continuously, ii) one is pseudo-continuous for the concrete cross section (b, d) and the other is discrete, using an index for the steel area (As). The optimum design in this paper uses Chakrabarty's model. In this paper, the Genetic Algorithms use the method of Elitism and penalty parameters to improve the fitness in the reproduction process, which leads to very practical designs. The optimum design of the steel area in the examples uses ASTM standard reinforcing bars (#3~#11, #14, #18).
Keywords
Optimum design; Reinforced concrete beam; Genetic algorithms;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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