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Performance-based multi-objective optimization of large steel structures

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Abstract

In recent years, the importance of economical considerations in the field of structures has motivated many researchers to propose new methods for minimizing the initial and life cycle cost of the structures subjected to seismic loading. In this paper, a new framework is presented to solve the performance-based multi-objective optimization problem considering the initial and life cycle cost of large structures. In order to solve this problem, a non-dominated sorting genetic algorithm (NSGA-II) using differential evolution operators is employed to solve the optimization problem, while a specific meta-model is utilized for reducing the number of fitness function evaluations. The required computational time for pushover analysis is decreased by a simple numerical method. The constraints of the optimization problem are based on the FEMA codes. The presented results for application of the proposed framework demonstrate its capability in solving the present complex multi-objective optimization problem.

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Authors and Affiliations

  1. Centre of Excellence for Fundamental Studies in Structural Mechanics, Iran University of Science and Technology, Narmak, Tehran, 16844, Iran

    Ali Kaveh

  2. School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, 16844, Iran

    Ali Kaveh, Karim Laknejadi & Babak Alinejad

Authors
  1. Ali Kaveh
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  2. Karim Laknejadi
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  3. Babak Alinejad
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Correspondence to Ali Kaveh.

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Kaveh, A., Laknejadi, K. & Alinejad, B. Performance-based multi-objective optimization of large steel structures. Acta Mech 223, 355–369 (2012). https://doi.org/10.1007/s00707-011-0564-1

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  • DOI: https://doi.org/10.1007/s00707-011-0564-1

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