Volume 13, Issue 2 (4-2023)
IJOCE 2023, 13(2): 177-188 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Nabati M, Gholizadeh S. PERFORMANCE-BASED OPTIMIZATION OF STEEL MOMENT FRAMES BY A MODIFIED NEWTON METAHEURISTIC ALGORITHM. IJOCE 2023; 13 (2) :177-188
URL: http://ijoce.iust.ac.ir/article-1-548-en.html
URL: http://ijoce.iust.ac.ir/article-1-548-en.html
1- Department of Civil Engineering, Urmia University, Urmia, Iran
Abstract: (7116 Views)
The purpose of the current study is to design steel moment resisting frames for optimal weight in the context of performance-based design. The performance-based design optimization of steel moment frames is a highly nonlinear and complex optimization problem having many local optima. Therefore, an efficient algorithm should be used to deal with this class of structural optimization problems. In the present study, a modified Newton metaheuristic algorithm (MNMA) is proposed for the solution of the optimization problem. In fact, MNMA is the improved version of the original Newton metaheuristic algorithm (NMA), which is a multi-stage optimization technique in which an initial population is generated at each stage based on the results of the previous stages. Two illustrative examples of 5-, and 10-story steel moment frames are presented and a number of independent optimization runs are achieved by NMA and MNMA. The numerical results demonstrate the better performance of the proposed MNMA compared to the NMA in solving the performance-based optimization problem of steel moment frames.
Type of Study: Research |
Subject:
Optimal design
Received: 2022/12/31 | Accepted: 2023/04/21 | Published: 2023/04/21
Received: 2022/12/31 | Accepted: 2023/04/21 | Published: 2023/04/21
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
