期刊
ENGINEERING STRUCTURES
卷 30, 期 5, 页码 1240-1249出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.engstruct.2007.07.019
关键词
adjacent structures; genetic algorithm; magneto-rheological damper; multi-objective optimization; hysteretic damper; nonlinear random vibration analysis; optimal control; stochastic linearization method
资金
- National Research Foundation of Korea [2006-214-D00164] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
An optimal design method is proposed for nonlinear hysteretic dampers that enhance the seismic performance of two adjacent structures. The proposed method employs nonlinear random vibration analyses by use of a stochastic linearization method in order to efficiently estimate the stochastic responses of coupled buildings without performing numerous nonlinear time-history analyses. The main objectives of the optimal design are nor only to reduce the seismic responses but also to minimize the total cost of the damper system. To deal with such conflicting objectives, a multi-objective genetic algorithm is adopted. This approach systematically obtains a set of Pareto optimal solutions that are non-infetior or non-superior to each other. The process for choosing a reasonable design from the optimal surface of Pareto solutions is also discussed. As an example of a nonlinear hysteretic damping device, this study considers passive-type magneto-rheological dampers with fixed input voltages. The optimal voltages and numbers of installed dampers are simultaneously determined. The robustness of the optimal design against uncertain characteristics of ground motions is examined through extensive nonlinear random vibration analyses. (C) 2007 Elsevier Ltd. All rights reserved.
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