Seismic protection of civil historical structures by MR dampers

2006 ◽  
Author(s):  
A. Mandara ◽  
A. Durante ◽  
G. Spina ◽  
S. Ameduri ◽  
A. Concilio
Author(s):  
S. J. Dyke ◽  
B. F. Spencer ◽  
M. K. Sain ◽  
J. D. Carlson

Abstract In this paper, the efficacy of magnetorheological (MR) dampers for seismic protection of structures is investigated through a series of experiments in which an MR damper is used to control a three story test structure subjected to a one-dimensional earthquake motion. Because of the intrinsic nonlinearity of the MR damper, several earthquake amplitudes are considered to investigate the performance, in terms of both peak and rms responses, of this control systems over a range of loading conditions. The results indicate that the MR damper is quite effective for structural response reduction over a wide class of seismic excitations.


1998 ◽  
Vol 7 (5) ◽  
pp. 693-703 ◽  
Author(s):  
S J Dyke ◽  
B F Spencer ◽  
M K Sain ◽  
J D Carlson

2010 ◽  
Vol 32 (10) ◽  
pp. 3040-3047 ◽  
Author(s):  
Maryam Bitaraf ◽  
Osman E. Ozbulut ◽  
Stefan Hurlebaus ◽  
Luciana Barroso

2012 ◽  
Vol 2012 ◽  
pp. 1-18
Author(s):  
Chunxiang Li ◽  
Qing Liu ◽  
Shengning Lan

Based on recent research by Li and Liu in 2011, this paper proposes the application of support vector machine- (SVM-) based semiactive control methodology for seismic protection of structures with magnetorheological (MR) dampers. An important and challenging task of designing the MR dampers is to develop an effective semiactive control strategy that can fully exploit the capabilities of MR dampers. However, amplification of the local acceleration response of structures exists in the widely used semiactive control strategies, namely “Switch” control strategies. Then the SVM-based semiactive control strategy has been employed to design MR dampers. Firstly, the LQR controller for the numerical model of a multistory structure formulated using the dynamic dense method is constructed by using the classic LQR control theory. Secondly, an SVM model which comprises the observers and controllers in the control system is designed and trained to emulate the performance of the LQR controller. Finally, an online autofeedback semiactive control strategy is developed by resorting to SVM and then used for designing MR dampers. Simulation results show that the MR dampers utilizing the SVM-based semiactive control algorithm, which eliminates the local acceleration amplification phenomenon, can remarkably reduce the displacement, velocity, and acceleration responses of the structure.


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