Enhanced damping for bridge cables using a self-sensing MR damper

This paper investigates enhanced damping for protecting bridge stay cables from excessive vibration using a newly developed self-sensing magnetorheological (MR) damper. The semi-active control strategy for effectively operating the self-sensing MR damper is formulated based on the linear-quadratic-Gaussian (LQG) control by further considering a 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 sensor measurements from the self-sensing device are employed in the feedback control. The nonlinear dynamics of the self-sensing MR damper, represented by a validated Bayesian NARX network technique, are further accommodated in the control formulation to compensate for its nonlinearities. Numerical and experimental investigations are conducted on stay cables equipped with the self-sensing MR damper operated in passive and semi-active control modes. The results verify that the collocated self-sensing MR damper facilitates smart damping for inclined cables employing energy-dissipative LQG control with only force and displacement measurements at the damper. It is also demonstrated that the synthesis of nonlinear damper dynamics in the LQG control enhances 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.

[1]  Felix Weber,et al.  Semi-active damping with negative stiffness for multi-mode cable vibration mitigation: approximate collocated control solution , 2015 .

[2]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[3]  Felix Weber,et al.  Design of viscous dampers targeting multiple cable modes , 2009 .

[4]  Felix Weber,et al.  Robust force tracking control scheme for MR dampers , 2015 .

[5]  Yozo Fujino,et al.  ESTIMATION CURVE FOR MODAL DAMPING IN STAY CABLES WITH VISCOUS DAMPER , 1993 .

[6]  Billie F. Spencer,et al.  Semiactive Damping of Cables with Sag , 2003 .

[7]  Felix Weber,et al.  Clipped viscous damping with negative stiffness for semi-active cable damping , 2011 .

[8]  Glauco Feltrin,et al.  Measured linear–quadratic–Gaussian controlled damping , 2005 .

[9]  Yi-Qing Ni,et al.  State‐Derivative Feedback Control of Cable Vibration Using Semiactive Magnetorheological Dampers , 2005 .

[10]  Kishor C. Mehta,et al.  Full-Scale Measurements to Investigate Rain–Wind Induced Cable-Stay Vibration and Its Mitigation , 2006 .

[11]  Seung-Bok Choi,et al.  Damping force control of a vehicle MR damper using a Preisach hysteretic compensator , 2009 .

[12]  Billie F. Spencer,et al.  Modeling and Control of Magnetorheological Dampers for Seismic Response Reduction , 1996 .

[13]  Nicholas P. Jones,et al.  Evaluation of Viscous Dampers for Stay-Cable Vibration Mitigation , 2001 .

[14]  André Preumont,et al.  ACTIVE TENDON CONTROL OF CABLE-STAYED BRIDGES , 1996 .

[15]  Gl Larose,et al.  Dynamic wind effects on suspension and cable-stayed bridges , 2015 .

[16]  Neda Darivandi,et al.  The design of an optimal viscous damper for a bridge stay cable using energy-based approach , 2010 .

[17]  Felix Weber,et al.  Amplitude and frequency independent cable damping of Sutong Bridge and Russky Bridge by magnetorheological dampers , 2015 .

[18]  Yi-Qing Ni,et al.  Field observations of rain-wind-induced cable vibration in cable-stayed Dongting Lake Bridge , 2007 .

[19]  André Preumont,et al.  Vibration Control of Active Structures: An Introduction , 2018 .

[20]  Nicholas P. Jones,et al.  Interpretation of field observations of wind- and rain-wind-induced stay cable vibrations , 2010 .

[21]  Steen Krenk,et al.  Energy dissipation control of magneto-rheological damper , 2008 .

[22]  Steen Krenk,et al.  Optimal Tuning of Amplitude Proportional Coulomb Friction Damper for Maximum Cable Damping , 2010 .

[23]  Yi-Qing Ni,et al.  A new stochastic optimal control strategy for hysteretic MR dampers , 2004 .

[24]  Feng Xing,et al.  Free vibration of taut cable with a damper and a spring , 2014 .

[25]  Limin Sun,et al.  Vibration mitigation of stay cable using optimally tuned MR damper , 2012 .

[26]  Yozo Fujino,et al.  Semiactive Damping of Stay Cables , 1999 .

[27]  Yi-Qing Ni,et al.  A magnetorheological damper capable of force and displacement sensing , 2010 .

[28]  Yi-Qing Ni,et al.  Characterization and modeling of a self-sensing MR damper under harmonic loading , 2015 .

[29]  S. Krenk Vibrations of a Taut Cable With an External Damper , 2000 .

[30]  Erik A. Johnson,et al.  Experimental Verification of Smart Cable Damping , 2006 .

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

[32]  Yi-Qing Ni,et al.  Optimal design of viscous dampers for multi-mode vibration control of bridge cables , 2005 .

[33]  Hui Li,et al.  Vibration Control of Stay Cables of the Shandong Binzhou Yellow River Highway Bridge Using Magnetorheological Fluid Dampers , 2007 .

[34]  Yi-Qing Ni,et al.  Experimental Identification of a Self-Sensing Magnetorheological Damper Using Soft Computing , 2015 .

[35]  Joan R. Casas,et al.  Rain–wind-induced cable vibrations in the Alamillo cable-stayed bridge (Sevilla, Spain). Assessment and remedial action , 2010 .