Modeling of Magnetorheological Dampers under Various Impact Loads

被引:24
作者
Arsava, K. Sarp [1 ]
Kim, Yeesock [1 ]
机构
[1] Worcester Polytech Inst, Dept Civil & Environm Engn, Worcester, MA 01609 USA
关键词
ONLINE IDENTIFICATION; OPTIMAL-DESIGN; FUZZY; ANFIS; PREDICTION;
D O I
10.1155/2015/905186
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Magnetorheological (MR) damper has received great attention from structural control engineering because it provides the best features of both passive and active control systems. However, many studies on the application of MR dampers to large civil structures have tended to center on the modeling of MR dampers under seismic excitations, while, to date, there has been minimal research regarding the MR damper model under impact loads. Hence, this paper investigates nonlinear models of MR dampers under a variety of impact loads and control signals. Two fuzzy models are proposed for modeling the nonlinear impact behavior of MR dampers. They are compared with mechanical models, the Bingham and Bouc-Wen models. Experimental studies are performed to generate sets of input and output data for training, validating, and testing the models: the deflection, acceleration, velocity, and current signals. It is demonstrated that the proposed fuzzy models are effective in predicting the complex nonlinear behavior of the MR damper subjected to a variety of impact loads and control signals. The proposed fuzzy model resulted in an accuracy of 99% to predict the impact forces of the MR damper.
引用
收藏
页数:20
相关论文
共 71 条
[1]   Dynamic fuzzy wavelet neural network model for structural system identification [J].
Adeli, H ;
Jiang, XM .
JOURNAL OF STRUCTURAL ENGINEERING, 2006, 132 (01) :102-111
[2]   Experimental analysis of magnetorheological dampers when subjected to impact and shock loading [J].
Ahmadian, Mehdi ;
Norris, James A. .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2008, 13 (09) :1978-1985
[3]  
[Anonymous], 1997, IEEE Trans. Autom. Control
[4]   Nonlinear system identification of smart structures under high impact loads [J].
Arsava, Kemal Sarp ;
Kim, Yeesock ;
El-Korchi, Tahar ;
Park, Hyo Seon .
SMART MATERIALS AND STRUCTURES, 2013, 22 (05)
[5]  
Balasubramaniam V. P. N., 2012, Journal of Computer Science, V8, P879, DOI 10.3844/jcssp.2012.879.890
[6]  
Bani-Hani K, 1999, EARTHQUAKE ENG STRUC, V28, P995, DOI 10.1002/(SICI)1096-9845(199909)28:9<995::AID-EQE851>3.0.CO
[7]  
2-8
[8]  
Consolazio G.R., 2008, Development of improved bridge design provisions for barge impact loading
[9]  
Consolazio G. R., 2006, BARGC IMPACT TESTING
[10]  
Consolazio Gary., 2010, Vessel Crushing and Structural Collapse Relationships for Bridge Design