A new simple non-linear hysteretic model for MR damper and verification of seismic response reduction experiment

Abstract Non-linear hysteresis is a complicated mechanical characteristic for magneto-rheological (MR) damper. In this paper, a new simple non-linear hysteretic model for MR damper is proposed to represent the hysteretic behavior. First, the force–displacement and force–velocity loops under a range of currents, amplitudes and frequencies are obtained by mechanical behavior test of a RD1097 type MR damper. Then the model’s parameters are identified by the non-linear least square method from test data and fitted by the polynomials as functions of the supplied current. Finally, the accuracy and the effectiveness of the model are demonstrated by the RMS errors comparison between the reconstructed hysteretic curves and the experimental ones, and further are verified by seismic response reduction experiment under three excitations including the sinusoidal wave, the Pingsheng Bridge earthquake wave and the El-Centro wave. The results show that the proposed model has higher accuracy than some of existing models with explicit functions and is easier to be identified than those models with non-linear differential equations. Therefore, the proposed model can be effectively applied to simulation analysis in engineering control subjected to frequency-fixed or random excitations.

[1]  James M. Ricles,et al.  Evaluation of a real-time hybrid simulation system for performance evaluation of structures with rate dependent devices subjected to seismic loading , 2012 .

[2]  Bin Wu,et al.  Performance of an offshore platform with MR dampers subjected to ice and earthquake , 2011 .

[3]  Stefan Hurlebaus,et al.  Application of semi-active control strategies for seismic protection of buildings with MR dampers , 2010 .

[4]  Jinping Ou,et al.  Experimental and analytical study on pounding reduction of base‐isolated highway bridges using MR dampers , 2009 .

[5]  S. M. Dumne,et al.  Seismic response analysis of adjacent buildings connected with MR dampers , 2010 .

[6]  Juan Carlos de la Llera,et al.  Tall building vibration control using a TM‐MR damper assembly , 2011 .

[7]  Billie F. Spencer,et al.  MR damping system for mitigating wind-rain induced vibration on Dongting Lake cable-stayed bridge , 2004 .

[8]  Shirley J. Dyke,et al.  Phenomenological Model of a Magnetorheological Damper , 1996 .

[9]  Bijan Samali,et al.  Mitigation of seismic responses on building structures using MR dampers with Lyapunov‐based control , 2008 .

[10]  Seung-Ik Lee,et al.  A hysteresis model for the field-dependent damping force of a magnetorheological damper , 2001 .

[11]  Yang Ding,et al.  Experimental studies on nonlinear seismic control of a steel-concrete hybrid structure using MR dampers , 2013 .

[12]  Jianhua Hu,et al.  Investigations concerning seismic response control of self-anchored suspension bridge with MR dampers , 2008 .

[13]  Kyoung Kwan Ahn,et al.  Modeling of a magneto-rheological (MR) fluid damper using a self tuning fuzzy mechanism , 2009 .

[14]  Bijan Samali,et al.  A novel hysteretic model for magnetorheological fluid dampers and parameter identification using particle swarm optimization , 2006 .

[15]  Billie F. Spencer,et al.  Large-scale MR fluid dampers: modeling and dynamic performance considerations , 2002 .

[16]  Tzu-Ying Lee,et al.  Experimental and Analytical Study of Sliding Mode Control for Isolated Bridges with MR Dampers , 2011 .

[17]  N. Wereley,et al.  Idealized Hysteresis Modeling of Electrorheological and Magnetorheological Dampers , 1998 .

[18]  Zhou Qiang Two mechanic models for magnetorheological damper and corresponding test verification , 2002 .

[19]  Pinqi Xia,et al.  An inverse model of MR damper using optimal neural network and system identification , 2003 .

[20]  M R Akbarzadeh Toutounchi,et al.  Semi-active control of structures using a neuro-inverse model of MR dampers , 2009 .

[21]  Alberto Zasso,et al.  On the dynamics of a very slender building under winds: response reduction using MR dampers with lever mechanism , 2011 .

[22]  Hyun-Su Kim,et al.  Semi-active fuzzy control of a wind-excited tall building using multi-objective genetic algorithm , 2012 .

[23]  D. Gamota,et al.  Dynamic mechanical studies of electrorheological materials: Moderate frequencies , 1991 .

[24]  Li Hong-nan Double-sigmoid model for magnetorheological damper and corresponding experiment verification , 2006 .

[25]  Jinping Ou,et al.  Parameter optimization and analysis of a vehicle suspension system controlled by magnetorheological fluid dampers , 2006 .

[26]  James Lam,et al.  Semi-active H∞ control of vehicle suspension with magneto-rheological dampers , 2005 .

[27]  In-Ho Kim,et al.  Numerical investigation of an MR damper-based smart passive control system for mitigating vibration of stay cables , 2011 .

[28]  Shirley J. Dyke,et al.  PHENOMENOLOGICAL MODEL FOR MAGNETORHEOLOGICAL DAMPERS , 1997 .

[29]  J. L. Sproston,et al.  Non-linear modelling of an electro-rheological vibration damper , 1987 .

[30]  Meng-Gang Yang,et al.  An experimental study on using MR damper to mitigate longitudinal seismic response of a suspension bridge , 2011 .