Comparison of Modeling Approaches for Full-scale Nonlinear Viscous Dampers

A study is presented comparing several identification approaches, both parametric and nonparametric, for developing reduced-order nonlinear models of full-scale nonlinear viscous dampers commonly used with large flexible bridges. Such models are useful for incorporation into large-scale computational models, as well as for use as part of structural health monitoring studies based on vibration signature analysis. The paper reports the analysis results from a large collection of experimental tests on a 1112 kN (250 kip) orifice viscous damper under a wide range of frequency and amplitude oscillations. A simplified parametric design model is used in the parametric phase, as well as two different nonparametric methods: the Restoring Force Method, and artificial neural networks. The variations of model parameters with the excitation and response characteristics are investigated, and the relative accuracy and fidelity of the modeling approaches are compared and evaluated.

[1]  Ahsan Kareem,et al.  Analysis and performance of offshore platforms in hurricanes , 1999 .

[2]  B. F. Spencer,et al.  STATE OF THE ART OF STRUCTURAL CONTROL , 2003 .

[3]  George A. Bekey,et al.  Identification of Nonlinear Hysteretic Systems Using Random Search , 1982 .

[4]  Wai-Fah Chen,et al.  Bridge Engineering Handbook , 1999 .

[5]  G. Bekey,et al.  A global optimization algorithm using adaptive random search , 1980 .

[6]  Andrew S. Whittaker,et al.  Testing of Passive Energy Dissipation Systems , 1993 .

[7]  Jay-Chung Chen,et al.  International full-scale test facility for structural control , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[8]  S. Masri,et al.  Identification of Nonlinear Dynamic Systems Using Neural Networks , 1993 .

[9]  Ian D. Aiken,et al.  TESTING OF SEISMIC ISOLATORS AND DAMPERS - CONSIDERATIONS AND LIMITATIONS , 1998 .

[10]  G. W. Housner.  Special issue : Structural control : Past, present, and future , 1997 .

[11]  OU Jingping,et al.  Recent Advances of Structural Vibration Control in Mainland China , 2004 .

[12]  S. Infanti.  RION-ANTIRION BRIDGE: DESIGN AND FULL-SCALE TESTING OF THE SEISMIC PROTECTION DEVICES , 2004 .

[13]  Ahsan Kareem,et al.  Mitigation of motions of tall buildings with specific examples of recent applications , 1999 .

[14]  T. T. Soong,et al.  STRUCTURAL CONTROL: PAST, PRESENT, AND FUTURE , 1997 .

[15]  G. Tomlinson,et al.  Nonlinearity in Structural Dynamics: Detection, Identification and Modelling , 2000 .

[16]  United Arab Emirates,et al.  SEISMIC RETROFIT OF THE VINCENT-THOMAS SUSPENSION BRIDGE , 2004 .

[17]  T. T. Soong,et al.  EXPERIMENTAL SIMULATION OF DEGRADING STRUCTURES THROUGH ACTIVE CONTROL , 1998 .

[18]  S. Masri,et al.  Application of Neural Networks for Detection of Changes in Nonlinear Systems , 2000 .

[19]  Xxyyzz.  Guidelines for the Testing of Seismic Isolation and Energy Dissipating Devices , 2005 .

[20]  Yoshikazu Kitagawa,et al.  Seismic isolation and passive response-control buildings in Japan , 1998 .

[21]  Michael C. Constantinou,et al.  Experimental study of seismic response of buildings with supplemental fluid dampers , 1993 .

[22]  Keith Worden,et al.  Nonlinearity in Structural Dynamics , 2019 .

[23]  S. Masri,et al.  Training neural networks by adaptive random search techniques , 1999 .

[24]  Sami F. Masri,et al.  A Nonparametric Identification Technique for Nonlinear Dynamic Problems , 1979 .

[25]  Li-Hong Sheng,et al.  Performance of Viscous Damper and Its Acceptance Criteria , 2003 .

[26]  Michael C. Constantinou,et al.  Fractional‐Derivative Maxwell Model for Viscous Dampers , 1991 .

[27]  Gary F. Dargush,et al.  Analytical Model of Viscoelastic Fluid Dampers , 1993 .

[28]  Sami F. Masri,et al.  Some structural health monitoring approaches for nonlinear hydraulic dampers , 2002 .