Wavelet Based Damage Assessment and Localization for Bridge Structures

Bridges as a key component of road networks require periodic monitoring to detect structural degradation for early warning. In term of maintaining the bridge safety, it is essential to estimate the damage location and extent. This paper hypothetically investigates employing the wavelet transform to analysis the signal of a vehicle/bridge system to localize and estimate the damage severity. The paper investigated the feasibility of using direct measurements from the bridge system, in compare with using indirect measurements from a crossing inspection vehicle. The study utilizes an implicit Vehicle-Bridge Interaction (VBI) algorithm to simulate the passage of the instrumented vehicle over the bridge to generate the signal; then the signals are processed using Wavelet Transform. The study found that using the indirect vehicle measurements is more sensitive to bridge damage since the vehicle acts as a moving sensor over the bridge. Further, the paper shows promising results for damage detection using the bridge displacement responses, if the static component of the displacement is removed from the recorded displacement history.

References

[1] Carden, E. P. and Fanning, P. Vibration based condition monitoring: a review. Structural health monitoring, 3, 4 2004), 355-377.

[2] Rytter, A. Vibrational based inspection of civil engineering structures1993).

[3] Malekjafarian, A., McGetrick, P. J. and Obrien, E. J. A Review of Indirect Bridge Monitoring Using Passing Vehicles. Shock and Vibration, 20152015), 1-16.

[4] Yang, Y. B., Lin, C. W. and Yau, J. D. Extracting bridge frequencies from the dynamic response of a passing vehicle. Journal of Sound and Vibration, 272, 3-5 2004), 471-493.

[5] Yang, Y. B. and Lin, C. W. Vehicle–bridge interaction dynamics and potential applications. Journal of sound and vibration, 284, 1 2005), 205-226.

[6] Yang, Y. B., Li, Y. C. and Chang, K. C. Constructing the mode shapes of a bridge from a passing vehicle: a theoretical study. Smart Structures and Systems, 13, 5 2014), 797-819.

[7] Kim, C. W. and Kawatani, M. Challenge for a drive-by bridge inspection. International Conference; 10th, Structural Safety and Reliability; Safety, Reliability and Risk of Structures, Infrastructures and Engineering Systems; ICOSSAR2009; Osaka, Japan2009).

[8] Lin, C. W. and Yang, Y. B. Use of a passing vehicle to scan the fundamental bridge frequencies: An experimental verification. Engineering Structures, 27, 13 2005), 1865-1878.

[9] Elhattab, A., Uddin, N. and Obrien, E. Drive-by bridge damage monitoring using Bridge Displacement Profile Difference. Journal of Civil Structural Health Monitoring, 6, 5 2016), 839-850.

[10] El-Hattab, A., Uddin, N. and Obrien, E. Drive-by Bridge Damage Detection using Apparent Profile.

[11] Fan, W. and Qiao, P. Vibration-based damage identification methods: a review and comparative study. Structural Health Monitoring, 10, 1 2011), 83-111.

[12] Obrien, E. J. and Malekjafarian, A. A mode shape-based damage detection approach using laser measurement from a vehicle crossing a simply supported bridge. Structural Control and Health Monitoring, 23, 10 2016), 1273-1286.

[13] Hester, D. and González, A. A wavelet-based damage detection algorithm based on bridge acceleration response to a vehicle. Mechanical Systems and Signal Processing, 282012), 145-166.

[14] Li, H., Deng, X. and Dai, H. Structural damage detection using the combination method of EMD and wavelet analysis. Mechanical Systems and Signal Processing, 21, 1 2007), 298-306.

[15] Poudel, U. P., Fu, G. and Ye, J. Wavelet transformation of mode shape difference function for structural damage location identification. Earthquake Engineering & Structural Dynamics, 36, 8 2007), 1089-1107.

[16] Roveri, N. and Carcaterra, A. Damage detection in structures under traveling loads by Hilbert–Huang transform. Mechanical Systems and Signal Processing, 282012), 128-144.

[17] Yan, R. and Gao, R. X. Hilbert–Huang transform-based vibration signal analysis for machine health monitoring. IEEE Transactions on instrumentation and measurement, 55, 6 2006), 2320-2329.

[18] Cebon, D. Handbook of vehicle-road interaction. ALWAYS 1999.

[19] Harris, N. K., OBrien, E. J. and González, A. Reduction of bridge dynamic amplification through adjustment of vehicle suspension damping. Journal of Sound and Vibration, 302, 3 2007), 471-485.

[20] Sinha, J. K., Friswell, M. I. and Edwards, S. Simplified Models for the Location of Cracks in Beam Structures Using Measured Vibration Data. Journal of Sound and Vibration, 251, 1 2002), 13-38.

[21] Grabowska, J., Palacz, M. and Krawczuk, M. Damage identification by wavelet analysis. Mechanical systems and signal processing, 22, 7 2008), 1623-1635.

[22] Ren, W.-X. and Sun, Z.-S. Structural damage identification by using wavelet entropy. Engineering Structures, 30, 10 2008), 2840-2849.

[23] Bayissa, W. L., Haritos, N. and Thelandersson, S. Vibration-based structural damage identification using wavelet transform. Mechanical Systems and Signal Processing, 22, 5 2008), 1194-1215.

[24] McGetrick, P. J., González, A. and Obrien, E. J. Theoretical investigation of the use of a moving vehicle to identify bridge dynamic parameters. Insight - Non-Destructive Testing and Condition Monitoring, 51, 8 2009), 433-438.

[25] Keenahan, J., Obrien, E. J., McGetrick, P. J. and Gonzalez, A. The use of a dynamic truck-trailer drive-by system to monitor bridge damping. Structural Health Monitoring, 13, 2 2013), 143-157.

[26] McGetrick, P., González, A. and O'Brien, E. J. Monitoring bridge dynamic behaviour using an instrumented two axle vehicle. BCRI, City, 2010.

Metrics
Usage Shares
Total Views
21 Page Views
Total Shares
0 Tweets
21
0 PDF Downloads
0
0 Facebook Shares
Total Usage
21