Optimum performance-based design of concentric braced steel frames using nonlinear static analysis

Document Type : Original Article

Authors

1 MSc. Student, Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom, Iran

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

3 Ph.D. Student, Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom, Iran

10.22065/jsce.2024.428795.3292

Abstract

Structural engineers have always sought to design structures that can predict their performance during earthquakes. By using the performance-based design method, the structures can be examined to observe the behavior they show when dealing with the expected earthquake. Nowadays, optimization is very important in the design of structures. Because the amount of cost to implement a structure that is economical from the point of view affects the importance of this issue. In this study, the weight optimization of convergent bracing frames has been measured based on the performance-based design method. Because one of the most common methods of analysis to evaluate the seismic performance is the non-linear static analysis method, this method has been used as the basis of analysis. In this study, the objective function is considered based on the weight of the structure. The optimization problem considers the acceptance criteria for force-controlled and deformation-controlled members at desired performance levels, as well as geometric constraints. To make the optimal design possible based on the defined problem, optimizing the weight of three- and six-story concentrically braced 2D steel frames have been investigated using EVPS and EWOA algorithms. The results of the optimization show that it is possible to optimize the weight of the concentrically braced frame based on the performance-based method and using the algorithm.

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Articles in Press, Accepted Manuscript
Available Online from 16 March 2024
  • Receive Date: 18 December 2023
  • Revise Date: 12 March 2024
  • Accept Date: 16 March 2024