Optimization of reinforced concrete frames subjected to historical time-history loadings using DMPSO algorithm

被引：0
作者：
M. J. Esfandiari
G. S. Urgessa
S. Sheikholarefin
S. H. Dehghan Manshadi
机构：
[1] George Mason University,Department of Civil, Environmental and Infrastructure Engineering
[2] University of Johannesburg,Department of Civil Engineering Science
[3] Islamic Azad University,Department of Civil Engineering, Yazd Branch
来源：
Structural and Multidisciplinary Optimization | 2018年 / 58卷
关键词：
Time-history loading; Optimization of structures; Particle swarm optimization; Multi-criterion decision-making; Reinforced concrete structures;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, the seismic design of reinforced concrete (RC) frames subjected to time-history loadings was formulated as an optimization problem. Because finding the optimum design is relatively difficult and time-consuming for structural dynamics problems, an innovative algorithm combining multi-criterion decision-making (DM) and Particle Swarm Optimization (PSO), called DMPSO, was presented for accelerating convergence toward the optimum solution. The effectiveness of the proposed algorithm was illustrated in some benchmark reinforced concrete optimization problems. The main goal was to minimize the cost or weight of structures subjected to time-history loadings while satisfying all design requirements imposed by building design codes. The results confirmed the ability of the proposed algorithm to find the optimal solutions for structural optimization problems subjected to time-history loadings.
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页码：2119 / 2134
页数：15
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