Volume 7, Issue 2 (3-2017)                   2017, 7(2): 269-290 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mohebian P, Mousavi M, Rahami H. SIMULTANOUS OPTIMIZATION OF SIZE AND CONNECTION ARRANGEMENT FOR LOW-RISE STEEL PLATE SHEAR WALL SYSTEMS. International Journal of Optimization in Civil Engineering 2017; 7 (2) :269-290
URL: http://ijoce.iust.ac.ir/article-1-298-en.html
Abstract:   (23638 Views)

The present study is concerned with the simultaneous optimization of the size of components and the arrangement of connections for performance-based seismic design of low-rise SPSWs. Design variables include the size of beams and columns, the thickness of the infill panels, the type of each beam-to-column connection and the type of each infill-to-boundary frame connection. The objective function is considered to be the sum of the material cost and rigid connection fabrication cost. For comparison purposes, the SPSW model is also optimized with regard to two fixed connection arrangements. To fulfill the optimization task a new hybrid optimization algorithm called CBO-Jaya is proposed. The performance of the proposed hybrid optimization algorithm is assessed by two benchmark optimization problems. The results of the application of the proposed algorithm to the benchmark problem indicate the efficiency, robustness, and the fast convergence of the proposed algorithm compared with other meta-heuristic algorithms. The achieved results for the SPSWs demonstrate that incorporating the optimal arrangement of beam-to-column and infill-to-boundary frame connections into the optimization procedure results in considerable reduction of the overall cost.

Full-Text [PDF 572 kb]   (5395 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2016/11/27 | Accepted: 2016/11/27 | Published: 2016/11/27

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb