Volume 12, Issue 2 (4-2022)
IJOCE 2022, 12(2): 161-170 |
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Roozbahan M. COMPARISON OF RELIABILITY BASED AND DISPLACEMENT BASED OPTIMIZATION OF TUNED MASS DAMPERS REGARDING UNCERTAINTY. IJOCE 2022; 12 (2) :161-170
URL: http://ijoce.iust.ac.ir/article-1-513-en.html
URL: http://ijoce.iust.ac.ir/article-1-513-en.html
Abstract: (8795 Views)
Some structural control systems have been devised to protect structures against earthquakes, which the tuned mass damper (TMD) being one of the earliest. The effect of a tuned mass damper depends on its properties, such as mass, damping coefficient, and stiffness. The parameters of tuned mass dampers need to be tuned based on the main system and applied load. In most of the papers, the parameters of TMDs have been tuned based on the nominal parameters of structures. Also, most of the studies considered the minimization of maximum displacement of structure as the objective function of optimizing the parameters of tuned mass dampers. In this study, according to the Monte Carlo method and using the Mouth Brooding Fish algorithm, TMDs have been optimized based on the reliability of structures regarding the uncertain parameters of buildings, and their efficiency in the reduction of maximum displacement and failure probability of hundreds generated buildings with uncertain parameters, are compared with the efficiency of the displacement-based optimized TMDs. The results show that the TMDs optimized regarding uncertainty have better efficiency in reducing the maximum displacement, and failure probability of buildings than the TMDs optimized regarding nominal parameters of buildings. Also, according to the results, the displacement-based optimized TMDs regarding uncertainty show better efficiency in reducing the failure probability and displacement of the buildings than reliability-based optimized TMDs.
Keywords: tuned mass damper, reliability-based optimization, monte carlo method, mouth brooding fish algorithm, uncertain parameters.
Type of Study: Research |
Subject:
Optimal design
Received: 2022/04/4 | Accepted: 2022/04/12 | Published: 2022/04/12
Received: 2022/04/4 | Accepted: 2022/04/12 | Published: 2022/04/12
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