International Journal of Nonlinear Analysis and Applications

Comparison of ASD and LRFD with W sections for the optimization and stress ratio of steel frames using genetic algorithm in SAP2000 and ETABS

Articles in Press

Document Type : Research Paper

Authors

1 Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom, Iran

2 Department of Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

Any optimum design requires adequate skill and experience. Overall, having a multitude of variables in a design makes manual optimization fairly difficult or even unattainable. Importantly, due to the paucity of resources and the existence of competitive space, one can only implement and accomplish high-throughput plans, thereby making it crucial to profit from optimization methods. In this research, the objective function was the structure's weight, which was supposed to be directly correlated with its cost. Design models were optimized separately, investigated, and compared using genetic algorithm (GA), LRFD, and ASD analyses with W sections for frames. The cross-section of beams and columns were studied as design variables, and the constraints specified in the Iranian National Building Code (Part 10) were considered design constraints. Ultimately, the graphs for GA and stress ratio in each condition of LRFD and ASD for the W sections were obtained and compared, followed by analyzing and comparing the stress ratio in SAP2000.

Keywords

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International Journal of Nonlinear Analysis and Applications

Articles in Press, Corrected Proof
Available Online from 09 March 2025
  • Receive Date: 19 February 2024
  • Revise Date: 20 May 2024
  • Accept Date: 25 May 2024