Comparison of LRFD with W Sections for the Optimization and Stress Ratio of Steel Frames using Genetic Algorithm

Mohammadi Farsam, Mahdi; Mahmoud Abadi, Masoud

doi:10.22075/ijnaa.2024.34451.5146

Comparison of LRFD with W Sections for the Optimization and Stress Ratio of Steel Frames using Genetic Algorithm

Articles in Press

Document Type : Research Paper

Authors

Mahdi Mohammadi Farsam ¹

Masoud Mahmoud Abadi ²

¹ MSC in Civil Engineering, University of Qom, Qom, Iran

² Asst. Prof. in Civil Engineering, Faculty of Engineering, University of Qom, Qom, Iran

10.22075/ijnaa.2024.34451.5146

Abstract

In the last few decades, the use of algorithms to optimize structures has received a lot of attention, and steel and concrete structures have been investigated with the aim of weight optimization. But the optimization of metal structures with new analyzes including LRFD analysis is one of the new challenges in this field. 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 and investigated and compared using genetic algorithm (GA) and LRFD 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 for the W sections were obtained and compared, followed by analyzing.

Keywords

Optimization

Steel structures

Genetic algorithm

LRFD analysis

Subjects