This paper proposes a optimal design method of base-isolation device and frame member in a reinforced concrete building. The optimization method was used Strength Pareto Evolutionary Algorithm 2 (SPEA2) which is multi-objective optimization method. The optimization method takes into account a torsion of a building using a pseudo three-dimensional analytical model. Two buildings were selected and re-designed in order to examine the optimal design method. Finally, a comparison was made among design solutions.Consequently, the effectiveness of the optimal design method was demonstrated.
MULTI-OBJECTIVE OPTIMAL DESIGN OF BASE-ISOLATED REINFORCED CONCRETE BUILDING BY GENETIC ALGORITHM Study on multi-objective distributed cooperation model * ** Shunsuke TSUCHIYA and Shinichiro TAMORI This paper proposes a optimal design method of base-isolation device and frame member in a reinforced concrete building. The proposed algorithm called DCMOGA(Distributed Cooperation model of MOGA(Multi Objective Genetic Algorithm) and SGA (Standard Genetic Algorithm)) and conventional multi objective optimization are applied to design two buildings. Finally, a comparison was made among design solutions. Comparing to the conventional multi objective optimization methods , the proposed model found the widespread Pareto solutions. Consequently, the effectiveness of the proposed model was demonstrated.
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