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A new reliability based optimization of tuned mass damper parameters using energy approach.

Authors :
Mrabet, Elyes
Guedri, Mohamed
Ichchou, Mohamed Najib
Ghanmi, Samir
Soula, Mohamed
Source :
Journal of Vibration & Control. Jan2018, Vol. 24 Issue 1, p153-170. 18p.
Publication Year :
2018

Abstract

In this work a reliability based optimization (RBO) strategy of Tuned Mass Damper (TMD) parameters is presented. The strategy is based on an energetic approach. The strategy consists to optimize the TMD parameters so that we minimize the failure probability (objective function) characterized by the exceedence of the power dissipated in the primary structure of a certain threshold value during some interval time. The evaluation of the objective function is carried out using the classical Rice’s formula. The strategy is, firstly, applied to linear single-degree of freedom (SDOF) system, subjected to seismic motion, and then extended to linear multi-degree of freedom (MDOF) system. The use of the Rice’s formula requires the knowledge of the joint probability density function (PDF) of the considered processes; to this end, exact expression of the joint PDF is presented for the SDOF system and an approximation is presented for the evaluation of the failure probabilities for the MDOF system. By making use of the obtained joint PDF, for the SDOF system, as the a priori joint PDF, the approximation of the joint PDF, for the MDOF system, has been performed using the Minimum cross-entropy method (MinxEnt).To highlight the good effectiveness of the proposed strategy, a ten-story shear building, subjected to different earthquakes, is considered. The obtained results are compared with other from literature, and it has been shown the superiority of the proposed strategy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10775463
Volume :
24
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Vibration & Control
Publication Type :
Academic Journal
Accession number :
127118207
Full Text :
https://doi.org/10.1177/1077546316636361