Bridge damping identification by vehicle scanning method

Abstract A simple, theoretical framework is presented for identifying the damping ratios of simply supported beams using a two-axle moving test vehicle, equipped with uniformly spaced accelerometers and laser sensors. The latter are used to measure the relative displacements of the facing (moving) contact points on the beam, referred to as the scanning points. By adopting proper assumptions, closed-form solutions are derived for the responses of the beam and scanning points. In parallel, the scanning-point response is also given in discrete form for field applications. The road roughness effect is alleviated by using the residual response obtained as the difference of the responses of two consecutive scanning points. By utilizing the attenuation nature in the responses between two separate scanning points due to time lag, the damping ratio of the beam is derived in closed form using the Hilbert transformation. The framework proposed is verified by a finite element analysis with basically no assumptions. Its robustness is also tested for different ranges of parameters, including vehicle speed, vehicle damping, road roughness and environment noise.

[1]  Yeong-Bin Yang,et al.  An element for analysing vehicle–bridge systems considering vehicle's pitching effect , 1999 .

[2]  Túlio Nogueira Bittencourt,et al.  Identification of Modal Parameters in a Scale Model for a Railway Bridge , 2016 .

[3]  Raimundo Delgado,et al.  Finite element model updating of a bowstring-arch railway bridge based on experimental modal parameters , 2012 .

[4]  Maria Q. Feng,et al.  Damage Detection Based On Damping Analysis Of Ambient Vibration Data , 2008 .

[5]  Filipe Magalhães,et al.  Online automatic identification of the modal parameters of a long span arch bridge , 2009 .

[6]  E. O'brien,et al.  The Feasibility of Using Laser Doppler Vibrometer Measurements from a Passing Vehicle for Bridge Damage Detection , 2018 .

[7]  Wei Fan,et al.  Vibration-based Damage Identification Methods: A Review and Comparative Study , 2011 .

[8]  Eugene J. O'Brien,et al.  Identification of damping in a bridge using a moving instrumented vehicle , 2012 .

[9]  Yeong-Bin Yang,et al.  Vertical and pitching resonance of train cars moving over a series of simple beams , 2015 .

[10]  Yoshinobu Oshima,et al.  Damage assessment of a bridge based on mode shapes estimated by responses of passing vehicles , 2014 .

[11]  N. Huang,et al.  A new view of nonlinear water waves: the Hilbert spectrum , 1999 .

[12]  K. C. Chang,et al.  Constructing the mode shapes of a bridge from a passing vehicle: a theoretical study , 2014 .

[13]  Eugene J. O'Brien,et al.  Identification of bridge mode shapes using Short Time Frequency Domain Decomposition of the responses measured in a passing vehicle , 2014 .

[14]  O. S. Salawu Detection of structural damage through changes in frequency: a review , 1997 .

[15]  Yeong-Bin Yang,et al.  An effective means for damage detection of bridges using the contact-point response of a moving test vehicle , 2018 .

[16]  Yeong-Bin Yang,et al.  State-of-the-Art Review on Modal Identification and Damage Detection of Bridges by Moving Test Vehicles , 2017 .

[17]  Yeong-Bin Yang,et al.  Dynamic Testing and System Identification of a Multi-Span Highway Bridge , 1999 .

[18]  Yeong-Bin Yang,et al.  Vehicle-Bridge Interaction Element for Dynamic Analysis , 1997 .

[19]  Maria Q. Feng,et al.  Statistical analysis of modal parameters of a suspension bridge based on Bayesian spectral density approach and SHM data , 2018 .

[20]  Maria Q. Feng,et al.  Long-Term Monitoring and Identification of Bridge Structural Parameters , 2009 .

[21]  M. Feldman Hilbert transform in vibration analysis , 2011 .

[22]  Hoon Sohn,et al.  An experimental study of temperature effect on modal parameters of the Alamosa Canyon Bridge , 1999 .

[23]  Seng Tjhen Lie,et al.  Damage detection method based on operating deflection shape curvature extracted from dynamic response of a passing vehicle , 2013 .

[24]  Khalid M. Mosalam,et al.  Statistical significance of modal parameters of bridge systems identified from strong motion data , 2005 .

[25]  Jorge Daniel Riera,et al.  Damage detection by means of structural damping identification , 2008 .

[26]  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.

[27]  Yeong-Bin Yang,et al.  Use of a passing vehicle to scan the fundamental bridge frequencies: An experimental verification , 2005 .

[28]  Eugene J. O'Brien,et al.  The use of a dynamic truck–trailer drive-by system to monitor bridge damping , 2014 .

[29]  Pizhong Qiao,et al.  Vibration-based Damage Identification Methods: A Review and Comparative Study , 2011 .

[30]  Bin Zhang,et al.  Contact-Point Response for Modal Identification of Bridges by a Moving Test Vehicle , 2017 .

[31]  James Demmel,et al.  Structural Health Monitoring of the Golden Gate Bridge , 2003 .

[32]  Charles R. Farrar,et al.  Variability of modal parameters measured on the alamosa canyon bridge , 1996 .

[33]  E. Peter Carden,et al.  Vibration Based Condition Monitoring: A Review , 2004 .

[34]  Tommy H.T. Chan,et al.  Fiber Bragg grating sensors for structural health monitoring of Tsing Ma bridge : Background and experimental observation , 2006 .

[35]  Bernard C. Picinbono,et al.  On instantaneous amplitude and phase of signals , 1997, IEEE Trans. Signal Process..

[36]  K. C. Chang,et al.  Using two connected vehicles to measure the frequencies of bridges with rough surface: a theoretical study , 2012 .

[37]  John M. Biggs,et al.  Introduction to Structural Dynamics , 1964 .

[38]  Do Hyung Lee,et al.  Extracting modal parameters of high-speed railway bridge using the TDD technique , 2010 .

[39]  G. Kawiecki Modal damping measurement for damage detection , 2001 .

[40]  Yeong-Bin Yang,et al.  Vehicle-bridge interaction dynamics: with applications to high-speed railways , 2004 .

[41]  Eugene J. O'Brien,et al.  A mode shape‐based damage detection approach using laser measurement from a vehicle crossing a simply supported bridge , 2016 .

[42]  L Fryba,et al.  VIBRATION OF SOLIDS AND STRUCTURES UNDER MOVING LOADS (3RD EDITION) , 1999 .

[43]  I. R. Stubbs,et al.  Ambient Vibration of Two Suspension Bridges , 1971 .

[44]  Yeong-Bin Yang,et al.  EXTRACTING BRIDGE FREQUENCIES FROM THE DYNAMIC RESPONSE OF A PASSING VEHICLE , 2002 .