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Structural and Multidisciplinary Optimization

, Volume 58, Issue 5, pp 2119–2134 | Cite as

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

  • M. J. Esfandiari
  • G. S. Urgessa
  • S. Sheikholarefin
  • S. H. Dehghan Manshadi
RESEARCH PAPER

Abstract

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.

Keywords

Time-history loading Optimization of structures Particle swarm optimization Multi-criterion decision-making Reinforced concrete structures 

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Civil, Environmental and Infrastructure EngineeringGeorge Mason UniversityFairfaxUSA
  2. 2.Department of Civil Engineering ScienceUniversity of JohannesburgJohannesburgSouth Africa
  3. 3.Department of Civil Engineering, Yazd BranchIslamic Azad UniversityYazdIran

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