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http://dx.doi.org/10.12989/eas.2020.18.4.493

Opposition based charged system search for parameter identification problem in a simplified Bouc-Wen model  

Shirgir, Sina (Faculty of Civil Engineering, University of Tabriz)
Azar, Bahman Farahmand (Faculty of Civil Engineering, University of Tabriz)
Hadidi, Ali (Faculty of Civil Engineering, University of Tabriz)
Publication Information
Earthquakes and Structures / v.18, no.4, 2020 , pp. 493-506 More about this Journal
Abstract
In this paper, a new opposition based charged system search (CSS) is proposed to be used as a parameter identification of highly nonlinear semi-active magneto-rheological damper. By replacing the opposition particles with current solutions, the mentioned strategy is used to enhance the search space and to increase the exploration of CSS. To investigate the effectiveness of the proposed method, a nonlinear modified Bouc-Wen model of MR damper is considered to find its parameters, and compare it with those achieved from experimental model of MR damper. Also, by exploiting the sensitivity analysis and using the importance vector, the less importance parameters in the Bouc-Wen model are eliminated which makes the MR damper model simpler. Results demonstrate the new proposed algorithm (OBLCSS) has a high ability to tackle highly nonlinear problems. Based on the results of the α importance vector, a simplified model is proposed and its parameters are identified by using the presented OBLCSS algorithm. The simplified proposed model also has a high capability of estimating damper responses.
Keywords
parameter identification; Bouc-Wen model; charged system search; opposition based learning; MR damper; importance vector; reliability analysis;
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Times Cited By KSCI : 5  (Citation Analysis)
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