Abstract
In recent years, the concept of bridge monitoring using indirect measurements from a passing vehicle has been rapidly developed. This concept is known as “drive-by bridge inspection”. Most of the methods proposed under this approach utilize the dynamic characteristics of the bridge as an indicator of damage, such as the natural frequency of the bridge. The natural frequency is often estimated using fast Fourier transform (FFT). However, FFT has a low frequency resolution at the condition of higher velocity of a passing vehicle; therefore, it is not appropriate to be used to monitor the frequency change caused by the degradation of the bridge structural integrity. This paper introduces a new frequency identification technique based on wavelet analysis. Wavelet transform is characterized by its high-frequency resolution and can, therefore, be used to visualize the bridge damage represented as changing the fundamental frequency of the bridge. The paper will implement this approach using an implicit Vehicle-Bridge Interaction (VBI) algorithm to simulate the passage of the inspection vehicle over the bridge. The acceleration signals are then processed using wavelet analysis to extract the bridge frequency. In addition, the study will investigate the use of a subtracted signal from two consecutive axles. The latter point has the advantage of substantially removing the effect of the road roughness from the recorded acceleration history.
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References
Malekjafarian A, McGetrick PJ, Obrien EJ (2015) A review of indirect bridge monitoring using passing vehicles. Shock Vib 2015:1–16
Chupanit P, Phromsorn C (2012) The importance of bridge health monitoring. Int Sci Index 6:135–138
Rytter A (1993) Vibrational based inspection of civil engineering structures. PhD diss., Dept. of Building Technology and Structural Engineering, Aalborg University
Carden EP, Fanning P (2004) Vibration based condition monitoring: a review. Struct health Monit 3(4):355–377
Yang YB, Lin CW, Yau JD (2004) Extracting bridge frequencies from the dynamic response of a passing vehicle. J Sound Vib 272(3–5):471–493
Yang YB, Lin CW (2005) Vehicle–bridge interaction dynamics and potential applications. J Sound Vib 284(1):205–226
Yang YB, Chang KC (2009) Extraction of bridge frequencies from the dynamic response of a passing vehicle enhanced by the EMD technique. J Sound Vib 322(4–5):718–739
Lin CW, Yang YB (2005) Use of a passing vehicle to scan the fundamental bridge frequencies: an experimental verification. Eng Struct 27(13):1865–1878
Yang YB, Li YC, Chang KC (2014) Constructing the mode shapes of a bridge from a passing vehicle: a theoretical study. Smart Structures and Systems 13(5):797–819
González A, O’Brien EJ, McGetrick P (2010) Detection of bridge dynamic parameters using an instrumented vehicle. In: 5th world conference on structural control and monitoring, Tokyo, Japan, 12–14 July
Yang YB, Chang KC (2009) Extracting the bridge frequencies indirectly from a passing vehicle: parametric study. Eng Struct 31(10):2448–2459
Siringoringo DM, Fujino Y (2012) Estimating bridge fundamental frequency from vibration response of instrumented passing vehicle: analytical and experimental study. Adv Struct Eng 15(3):417–433
Yang YB, Chang KC, Li YC (2013) Filtering techniques for extracting bridge frequencies from a test vehicle moving over the bridge. Eng Struct 48:353–362
McGetrick P, Hester D, Taylor S (2017) Implementation of a drive-by monitoring system for transport infrastructure utilising smartphone technology and GNSS. J Civil Struct Health Monit 7(2):175–189
OBrien EJ, Martinez D, Malekjafarian A, Sevillano E (2017) Damage detection using curvatures obtained from vehicle measurements. J Civil Struct Health Monit 7(3):333–341
Fujino Y, Kitagawa K, Furukawa T, Ishii H (2005) Development of vehicle intelligent monitoring system (VIMS). In: Tomizuka M (ed) Proceedings of SPIE - the international society for optical engineering, vol 5765, 1st edn. San Diego, CA, pp 148–157
Khorram A, Bakhtiari-Nejad F, Rezaeian M (2012) Comparison studies between two wavelet based crack detection methods of a beam subjected to a moving load. Int J Eng Sci 51:204–215
Poudel UP, Fu G, Ye J (2007) Wavelet transformation of mode shape difference function for structural damage location identification. Earthquake Eng Struct Dyn 36(8):1089–1107
Shahsavari V, Bastien J, Chouinard L, Clément A (2017) Likelihood-based testing of wavelet coefficients for damage detection in beam structures. J Civil Struct Health Monit 7(1):79–98
Nguyen KV, Tran HT (2010) Multi-cracks detection of a beam-like structure based on the on-vehicle vibration signal and wavelet analysis. J Sound Vib 329(21):4455–4465
McGetrick PJ, Kim CW (2013) A parametric study of a drive by bridge inspection system based on the Morlet wavelet. Key Eng Mater 569–570:262–269
Khorrami H, Moavenian M (2010) A comparative study of DWT, CWT and DCT transformations in ECG arrhythmias classification. Expert Syst Appl 37(8):5751–5757
Morley J, Arens G, Fourgeau I, Giard D (1982) Wave propagation and sampling theory: part I. Geophysics 47:203–221
Morlet J (1983) Sampling theory and wave propagation. Springer, Berlin
Gao RX, Yan R (2011) Selection of base wavelet. Springer, Berlin
Cebon D (1999) Handbook of vehicle-road interaction. Swets & Zeitlinger, Netherlands
Harris NK, OBrien EJ, González A (2007) Reduction of bridge dynamic amplification through adjustment of vehicle suspension damping. J Sound Vib 302(3):471–485
Elhattab A, Uddin N, OBrie E (2016) Drive-by bridge damage monitoring using bridge displacement profile difference. J Civil Struct Health Monit 6(5):839–850
Elhattab A, Uddin, N, Obrien E (2015) Drive-by bridge damage detection using apparent profile. In: first international conference on advances in Civil Infrastructure And Construction Materials (CISM), pp 33–45
González A, Covián E, Madera J (2008) Determination of bridge natural frequencies using a moving vehicle instrumented with accelerometers and GPS. In: Proceedings of the 9th international conference on computational structures technology, Civil-Comp Press, Athens, Greece, 2–5 September
Sinha JK, Friswell MI, Edwards S (2002) Simplified models for the location of cracks in beam structures using measured vibration data. J Sound Vib 251(1):13–38
ISO-8608 (1995) Mechanical vibration-Road surface profiles-Reporting of measured data. International Organization for Standardization (ISO), Geneva, Geneva
Keenahan J, Brien EJ, McGetrick PJ, González A (2013) The use of a dynamic truck-trailer drive-by system to monitor bridge damping. Struct Health Monit 13:143–157 (1475921713513974)
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This research is sponsored by National Science of Foundation (NSF-CNS-1645863). Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the view of the sponsors.
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Tan, C., Elhattab, A. & Uddin, N. “Drive-by’’ bridge frequency-based monitoring utilizing wavelet transform. J Civil Struct Health Monit 7, 615–625 (2017). https://doi.org/10.1007/s13349-017-0246-3
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DOI: https://doi.org/10.1007/s13349-017-0246-3