Mohammadi Farsam, Mahdi, Mahmoud Abadi, Masoud, Lari, Farzad. (1404). Comparison of ASD and LRFD with W sections for the optimization and stress ratio of steel frames using genetic algorithm in SAP2000 and ETABS. هنرهای کاربردی, 16(11), 59-74. doi: 10.22075/ijnaa.2024.34184.5101
Mahdi Mohammadi Farsam; Masoud Mahmoud Abadi; Farzad Lari. "Comparison of ASD and LRFD with W sections for the optimization and stress ratio of steel frames using genetic algorithm in SAP2000 and ETABS". هنرهای کاربردی, 16, 11, 1404, 59-74. doi: 10.22075/ijnaa.2024.34184.5101
Mohammadi Farsam, Mahdi, Mahmoud Abadi, Masoud, Lari, Farzad. (1404). 'Comparison of ASD and LRFD with W sections for the optimization and stress ratio of steel frames using genetic algorithm in SAP2000 and ETABS', هنرهای کاربردی, 16(11), pp. 59-74. doi: 10.22075/ijnaa.2024.34184.5101
Mohammadi Farsam, Mahdi, Mahmoud Abadi, Masoud, Lari, Farzad. Comparison of ASD and LRFD with W sections for the optimization and stress ratio of steel frames using genetic algorithm in SAP2000 and ETABS. هنرهای کاربردی, 1404; 16(11): 59-74. doi: 10.22075/ijnaa.2024.34184.5101

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

International Journal of Nonlinear Analysis and Applications
مقاله 5، دوره 16، شماره 11، بهمن 2025، صفحه 59-74    اصل مقاله (1001.41 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.34184.5101
نویسندگان
Mahdi Mohammadi Farsam* 1؛ Masoud Mahmoud Abadi1؛ Farzad Lari2
1Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom, Iran
2Department of Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
چکیده
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.
کلیدواژه‌ها
Optimization؛ Steel structures؛ Genetic algorithm؛ LRFD analysis؛ ASD analysis؛ Sap2000
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