Smart Structures and Systems

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Drive-by bridge inspection from three different approaches

  • Kim, C.W. (Department of Civil and Earth Resources Engineering, Kyoto University) ;
  • Isemoto, R. (Department of Civil and Earth Resources Engineering, Kyoto University) ;
  • McGetrick, P.J. (Department of Civil and Earth Resources Engineering, Kyoto University) ;
  • Kawatani, M. (Department of Civil Engineering, Kobe University) ;
  • OBrien, E.J. (School of Civil, Structural & Environmental Engineering, University College Dublin)
  • Received : 2012.08.05
  • Accepted : 2013.08.22
  • Published : 2014.05.25
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Abstract

This study presents a vibration-based health monitoring strategy for short span bridges utilizing an inspection vehicle. How to screen the health condition of short span bridges in terms of a drive-by bridge inspection is described. Feasibility of the drive-by bridge inspection is investigated through a scaled laboratory moving vehicle experiment. The feasibility of using an instrumented vehicle to detect the natural frequency and changes in structural damping of a model bridge was observed. Observations also demonstrated the possibility of diagnosis of bridges by comparing patterns of identified bridge dynamic parameters through periodical monitoring. It was confirmed that the moving vehicle method identifies the damage location and severity well.

Keywords

Acknowledgement

Supported by : Japan Society for the Promotion of Science

References

  1. Adeli, H. and Jiang, X. (2006), "Dynamic fuzzy wavelet neural network model for structural system identification", J. Struct. Eng. - ASCE, 132(1), 102-111. https://doi.org/10.1061/(ASCE)0733-9445(2006)132:1(102)
  2. Doebling, S.W., Farrar, C.R., Prime, M.B. and Shevitz, D.W. (1996), Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review, Los Alamos National Laboratory Report, LA-3070-MS.
  3. Friswell, M.I. and Mottershead, J.E. (1994), "Finite element model updating in structural dynamics", Kluwer Academic Publishers, 56-77.
  4. Federal Highway Administration (FHWA) (2001), Phenomenology study of HERMES ground-penetrating radar technology for detection and identification of common bridge deck features, Report FHWA-RD-01-090, U.S. Department of Transportation, June 2001.
  5. Furukawa, T., Fujino, Y., Kubota, K. and Ishii, H. (2007), Real-time Diagnostic System for Pavements using Dynamic Response of Road Patrol Vehicles (VIMS), (Eds., B. Bakht and A. Mufti), Structural Health Monitoring and Intelligent Infrastructure, CD-ROM.
  6. Gersch, W., Nielsen, N.N. and Akaike, H. (1973), "Maximum likelihood estimation of structural parameters from random vibration data", J. Sound Vib., 31(3), 295-308. https://doi.org/10.1016/S0022-460X(73)80274-3
  7. Gonzalez, A., OBrien, E.J. and McGetrick, P.J. (2010), "Detection of bridge dynamic parameters using an instrumented vehicle", Proceedings of the 5th World Conference on Structural Control and Monitoring, Tokyo, Japan.
  8. Hoshiya, M. and Saito, E. (1984), "Structural identification by extended Kalman filter", J. Eng. Mech. - ASCE, 110(12), 1757-1770. https://doi.org/10.1061/(ASCE)0733-9399(1984)110:12(1757)
  9. Kim, C.W., Kawatani, M. and Kim, K.B. (2005), "Three-dimensional dynamic analysis for bridge-vehicle interaction with roadway roughness", Comput. Struct., 83,1627-1645. https://doi.org/10.1016/j.compstruc.2004.12.004
  10. Kim, C.W., Kawatani, M., Tsukamoto, M. and Fujita, N. (2008), "Wireless sensor node development for bridge condition assessment", Adv. Sci. Tech., 56, 573-578. https://doi.org/10.4028/www.scientific.net/AST.56.573
  11. Kim, C.W. and Kawatani, M. (2008), "Pseudo-static approach for damage identification of bridges based on coupling vibration with a moving vehicle", Struct. Infrastruct. Eng., 4(5), 371-379. https://doi.org/10.1080/15732470701270082
  12. Kim, C.W. and Kawatani, M. (2009), "Challenge for a drive-by bridge inspection", Proceedings of the 10th International Conference on Structural Safety and Reliability, ICOSSAR2009, Osaka, Japan.
  13. Kim, C.W., Kawatani, M. and Hao, J. (2012), "Modal parameter identification of short span bridges under a moving vehicle by means of multivariate AR model", Struct. Infrastruct. Eng., 8(5), 459-472. https://doi.org/10.1080/15732479.2010.539061
  14. Kim, J., Lynch, J.P., Lee, J.J. and Lee, C.G. (2011), "Truck-based mobile wireless sensor networks for the experimental observation of vehicle-bridge interaction", Smart Mater. Struct., 20, doi:10.1088/0964-1726/ 20/6/065009.
  15. Magalhaes, F. and Cunha, A. (2011), "Explaining operational modal analysis with data from an arch bridge", Mech. Syst. Signal Pr., 25, 1431-1450. https://doi.org/10.1016/j.ymssp.2010.08.001
  16. McGetrick, P.J., Gonzalez, A. and OBrien, E.J. (2009), "Theoretical investigation of the use of a moving vehicle to identify bridge dynamic parameters", Insight, 51(8), 433-438. https://doi.org/10.1784/insi.2009.51.8.433
  17. Nair, K.K., Kiremidjian, A.S. and Law, K.H. (2006), "Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure", J. Sound Vib., 291, 349-368. https://doi.org/10.1016/j.jsv.2005.06.016
  18. Ni, Y.Q., Zhou, H.F., Chan, K.C. and Ko, J. M. (2008), "Modal flexibility analysis of cable-stayed bridge Ting Kau bridge for damage identification", Comput.-Aided Civ. Inf., 23(3), 223-236. https://doi.org/10.1111/j.1467-8667.2008.00521.x
  19. Pappa, R.S. and Ibrahim, S.R. (1981), "A Parametric study of the ibrahim time domain modal identification algorithm", Shock Vib. Bulletin, 51(3), 43-72.
  20. Rizos, P.F., Aspragatos, N. and Dimarogonas, A.D. (1990), "Identification of crack location and magnitude in a cantilever beam from the vibration modes", J. Sound Vib., 138, 381-388. https://doi.org/10.1016/0022-460X(90)90593-O
  21. Shifrin, E.I. and Ruotolo, R. (1999), "Natural frequencies of a beam with an arbitrary number of cracks", J. Sound Vib., 222,409-423. https://doi.org/10.1006/jsvi.1998.2083
  22. Shinozuka, M., Yun C.B. and Imai, H. (1982), "Identification of linear structural dynamic systems", J. Eng. Mech. - ASCE, 108(6), 1371-1390.
  23. Siringoringo, D.M. and Fujino, Y. (2006), "Observed dynamic performance of the Yokohama Bay Bridge from system identification using seismic records", Struct. Control Health, 13, 226-244. https://doi.org/10.1002/stc.135
  24. Wang, Z. and Fang, T. (1986), "A time-domain method for identifying modal parameters", J. Appl. Mech. - ASME, 53(3), 28-32. https://doi.org/10.1115/1.3171732
  25. Xia, H. and De Roeck, G. (1997), "System identification of mechanical structures by a high-order mulcutivariate autoregressive model", Comput. Struct., 64(1-4), 341-351. https://doi.org/10.1016/S0045-7949(96)00126-5
  26. Yang, Y.B., Lin, C.W. and Yau, J.D. (2004), "Extracting bridge frequencies from the dynamic response of a passing vehicle", J. Sound Vib., 272, 471-493. https://doi.org/10.1016/S0022-460X(03)00378-X
  27. Yang, Y.B. and Lin, C.W. (2005), "Vehicle-bridge interaction dynamics and potential applications", J. Sound Vib., 284, 205-226. https://doi.org/10.1016/j.jsv.2004.06.032
  28. Yang, Y.B. and Chang, K.C. (2009), "Extracting the bridge frequencies indirectly from a passing vehicle: Parametric study", Eng. Struct., 31(10), 2448-2459. https://doi.org/10.1016/j.engstruct.2009.06.001
  29. Yin, S.H. and Tang, C.Y. (2011), "Identifying cable tension loss and deck damage in a cable-stayed bridge using a moving vehicle", J. Vib. Acoust., 133(2), 021007-1 - 021007-11. https://doi.org/10.1115/1.4002128
  30. Zhan, J.W., Xia, H., Chen, S.Y. and De Roeck, G. (2011), "Structural damage identification for railway bridges based on train-induced bridge responses and sensitivity analysis", J. Sound Vib., 330, 757-770. https://doi.org/10.1016/j.jsv.2010.08.031

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