Performance-Based Optimal Design of Low-Rise Steel Moment Frames Using Enhanced Vibrating Particles System Algorithm

Document Type : Original Article

Authors

1 PhD. Student, Faculty of Engineering, University of Qom, Qom, Iran

2 Associate Professor, Faculty of Engineering, University of Qom, Qom, Iran

10.22065/jsce.2023.394748.3103

Abstract

In the science of structural and earthquake engineering, with the emergence of performance-based design (PBD), many researchers have focused their research on this field. The aim of PBD is to enable engineers to design structures that offer predictable performance. Height set-back in structures is a particular type of irregularity that has a significant effect on the performance of the structures and is a subject that has always been investigated by researchers. In this study, the optimal performance-based design of two three-story steel moment frames is performed. For each example, the frame is analyzed with a lateral loading pattern based on the first mode shape in two independent steps. If the results of the analysis in the first step are satisfactory, the frame has been analyzed in the second step. Since the most common analysis method used in PBD is nonlinear static analysis, this method is considered as a frame analysis method using OpenSees software. In this study, the optimization process is performed using two meta-heuristic algorithms, EVPS and ECBO. The constraints of the problem are the acceptance criteria of steel moment frame according to FEMA 356, inter-story drift, slenderness ratio of columns, and design criteria of the column and beam joints. The results show that the best solution obtained by the EVPS algorithm and the EVPS has better performance than ECBO. Also, the ratio of plastic hinge rotation to the allowable values for the best solution was smaller than the unity for all plastic hinges, which indicates an acceptable amount of plastic hinge rotation.

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