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Failure probability minimization of buildings through passive friction dampers

STRUCTURAL design OF TALL AND SPECIAL BUILDINGS 2016年第17期25卷 869-885页

作者： Fadel Miguel, Leticia Fleck Fadel Miguel, Leandro Fleck Lopez, Rafael Holdorf Univ Fed Rio Grande do Sul Dept Mech Engn Ave Sarmento Leite 4252 Andar BR-90050170 Porto Alegre RS Brazil Univ Fed Santa Catarina Dept Civil Engn Florianopolis SC Brazil

This paper proposes a methodology for robust optimization of the failure probability of buildings subjected to stochastic earthquakes, using a less common type of passive energy dissipation device: the friction dampers. There is a lack of studies on optimal positions and parameters of passive friction dampers, and additionally, the few studies found in the literature consider the problem in a deterministic way. The robust optimization proposed in this paper is carried out through the recently developed backtracking search optimization algorithm, which is able to deal with optimization problems involving mixed discrete (positions) and continuous (friction forces) design variables. In order to take into account uncertainties present in both the system and the dynamic excitation (earthquakes), some parameters are modeled as random variables, and consequently, the structural response becomes stochastic. For illustration purposes, a 10-story building is analyzed. The results showed that the proposed method was able to reduce the failure probability in approximately 99% with only three friction dampers, installed in their best positions and with their optimized friction forces. The proposed methodology is quite general, and it is believed that it can be recommended as an effective tool for optimum design of friction dampers. Copyright (c) 2016 John Wiley & Sons, Ltd.

关键词： robust design optimization failure probability optimization passive friction dampers dynamic problem optimization mixed discrete and continuous design variables backtracking search optimization algorithm (bsa)

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Robust design optimization of friction dampers for structural response control

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STRUCTURAL CONTROL & HEALTH MONITORING 2014年第9期21卷 1240-1251页

作者： Fadel Miguel, Leticia Fleck Fadel Miguel, Leandro Fleck Lopez, Rafael Holdorf Univ Fed Rio Grande do Sul Dept Mech Engn Porto Alegre RS Brazil Univ Fed Santa Catarina Dept Civil Engn Florianopolis SC Brazil

It is known that the use of passive energy dissipation devices, as friction dampers, reduces considerably the dynamic response of a structure subjected to earthquake ground motions. However, the parameters of each damper as well as the best placement of these devices remain difficult to determine. Thus, in this paper, robust design optimization of friction dampers to control the structural response against earthquakes is proposed. In order to take into account uncertainties present in the system, some of its parameters are modeled as random variables, and consequently, the structural response becomes stochastic. To perform the robust optimization of such system, two objective functions are simultaneously considered: the mean and variance of the maximum displacement. This approach allows finding a set of Pareto-optimal solutions. A genetic algorithm, the NSGA-II (Nondominated Sorting Genetic Algorithm), is applied to solve the resulting multi-objective optimization problem. For illustration purposes, a six-story shear building is analyzed. The results showed that the proposed method was able to reduce the mean maximum displacement in approximately 70% and the variance of the maximum displacement in almost 99% with only three dampers. Copyright (C) 2014 John Wiley & Sons, Ltd.

关键词： robust design optimization multi-objective optimization dynamic optimization mixed discrete and continuous design variables friction dampers structural response control

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