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This paper presents the enhanced damping for protecting bridge stay cables from excessive vibrations using a self-sensing magnetorheological (MR) damper. Semiactive control strategy for effectively operating the self-sensing MR damper is formulated based on the linear-quadratic-Gaussian (LQG) control by further incorporating collocated control configuration, limited measurements and nonlinear damper dynamics. Due to its attractive feature of sensing-while-damping, the self-sensing MR damper facilitates the collocated control. On the other hand, only the collocated sensor measurements from the self-sensing device are employed in the feedback control. The highly nonlinear dynamics of the self-sensing MR damper represented by a validated Bayesian NARX network technique are further synthesized in the control formulation to compensate for its nonlinearities. Experimental investigations are conducted on a stay cable equipped with the self-sensing MR damper operated in passive and semiactive control modes and compared with analytical studies. Results verify that the self-sensing MR damper facilitates the smart damping for the inclined cable employing energy dissipative LQG control with only collocated force and displacement measurements at the damper. It is also demonstrated that the synthesis of nonlinear damper dynamics in the LQG control to enhance damping force tracking efficiently explores the features of the self-sensing MR damper and achieves better control performance over the passive MR damping control and the Heaviside step function based LQG control that ignores the damper dynamics.
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Fundamental Research in Structural Engineering: Retrospective and Prospective, Vols 1 and 2
Year: 2016
Page: 1203-1208
Language: English
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SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 1
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