Volume 13, Issue 3 (7-2023)
IJOCE 2023, 13(3): 289-307 |
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:
Mohebbi M, Bakhshinezhad S. OPTIMAL DESIGN OF A SEMI-ACTIVE BRACING MECHANISM. IJOCE 2023; 13 (3) :289-307
URL: http://ijoce.iust.ac.ir/article-1-555-en.html
URL: http://ijoce.iust.ac.ir/article-1-555-en.html
1- Faculty of Technical and Engineering, University of Mohaghegh Ardabili, 56199-11367, Ardabil, Iran
Abstract: (6271 Views)
The semi-active bracing system locks or unlocks the stand-by braces in an on-off mode utilizing a variable stiffness device (VSD). In this paper, the optimal design of a semi-active bracing mechanism and evaluating its performance in mitigating structural vibration under seismic loading have been studied. The optimal stiffness values of the semi-active braces have been determined by solving two optimization problems including minimizing the maximum acceleration and also minimizing the maximum inter-story drift by imposing a constraint on the maximum acceleration. The genetic algorithm (GA) has been applied to solve the optimization problems. To illustrate the design procedure, an eight-story linear shear frame under earthquake record has been considered and the optimal semi-active braces have been designed. In addition, to assess the performance of optimal bracing system under other records which are different from design record in terms of intensity and frequency content, the structure equipped with optimally designed semi-active braces has been tested under several ground motion records. The results show that the optimal semi-active bracing system has simultaneously reduced different responses of the structure although the acceleration reduction has mainly been less compared to the drift reduction.
Keywords: Semi-active control, variable stiffness bracing mechanism, optimization, genetic algorithm (GA).
Type of Study: Research |
Subject:
Optimal design
Received: 2023/04/7 | Accepted: 2023/07/19 | Published: 2023/07/19
Received: 2023/04/7 | Accepted: 2023/07/19 | Published: 2023/07/19
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
