Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Earthquakes and Structures Volume 18, Number 4, April 2020 , pages 493-506 DOI: https://doi.org/10.12989/eas.2020.18.4.493 |
|
|
|
Opposition based charged system search for parameter identification problem in a simplified Bouc-Wen model |
||
Sina Shirgir, Bahman Farahmand Azar and Ali Hadidi
|
||
| 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. | ||
| Key Words | ||
| parameter identification; Bouc-Wen model; charged system search; opposition based learning; MR damper; importance vector; reliability analysis | ||
| Address | ||
| Sina Shirgir, Bahman Farahmand Azar and Ali Hadidi: Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran | ||