Structural health monitoring of high-speed railway tracks using diffuse ultrasonic wave-based condition contrast: theory and validation

다국어 초록 (Multilingual Abstract)

Despite proven effectiveness and accuracy in laboratories, the existing damage assessment based on guided ultrasonic waves (GUWs) or acoustic emission (AE) confronts challenges when extended to real-world structural health monitoring (SHM) for railway tracks. Central to the concerns are the extremely complex signal appearance due to highly dispersive and multimodal wave features, restriction on transducer installations, and severe contaminations of ambient noise. It remains a critical yet unsolved problem along with recent attempts to implement SHM in bourgeoning high-speed railway (HSR). By leveraging authors' continued endeavours, an SHM framework, based on actively generated diffuse ultrasonic waves (DUWs) and a benchmark-free condition contrast algorithm, has been developed and deployed via an all-in-one SHM system. Miniaturized lead zirconate titanate (PZT) wafers are utilized to generate and acquire DUWs in long-range railway tracks. Fatigue cracks in the tracks show unique contact behaviours under different conditions of external loads and further disturb DUW propagation. By contrast DUW propagation traits, fatigue cracks in railway tracks can be characterised quantitatively and the holistic health status of the tracks can be evaluated in a real-time manner. Compared with GUW- or AE-based methods, the DUW-driven inspection philosophy exhibits immunity to ambient noise and measurement uncertainty, less dependence on baseline signals, use of significantly reduced number of transducers, and high robustness in atrocious engineering conditions. Conformance tests are performed on HSR tracks, in which the evolution of fatigue damage is monitored continuously and quantitatively, demonstrating effectiveness, adaptability, reliability and robustness of DUW-driven SHM towards HSR applications.

참고문헌 (Reference)

1 O. Buck, "Ultrasonic measurements of crack tip shielding by closure" Elsevier BV 103 (103): 37-42, 1988

2 Yuxiang Zhang, "Three-dimensional in-situ imaging of cracks in concrete using diffuse ultrasound" SAGE Publications 17 (17): 279-284, 2018

3 P. H. Adler, "Strain Hardening of Hadfield Manganese Steel" Springer Science and Business Media LLC 17 (17): 1725-1737, 1986

4 Benoit Hilloulin, "Small crack detection in cementitious materials using nonlinear coda wave modulation" Elsevier BV 68 : 98-104, 2014

5 S Santa-aho, "Review of railway track applications of Barkhausen noise and other magnetic testing methods" British Institute of Non-Destructive Testing (BINDT) 56 (56): 657-663, 2014

6 Robin Clark, "Rail flaw detection: overview and needs for future developments" Elsevier BV 37 (37): 111-118, 2004

7 Wen-Yu He, "Progressive damage detection of thin plate structures using wavelet finite element model updating" 국제구조공학회 22 (22): 277-290, 2018

8 Mair, C., "Practice and potential of computer vision for railways" 1998

9 Cawley, P., "Practical long range guided wave inspection-Applications to pipes and rail" 61 : 66-74, 2003

10 Ramin Ghiasi, "Optimization-based method for structural damage detection with consideration of uncertainties- a comparative study" 국제구조공학회 22 (22): 561-574, 2018

11 Fucai Li, "Optimal Mother Wavelet Selection for Lamb Wave Analyses" SAGE Publications 20 (20): 1147-1161, 2009

12 Qiang Wang, "On time reversal-based signal enhancement for active lamb wave-based damage identification" 국제구조공학회 15 (15): 1463-1479, 2015

13 Peng Zuo, "Numerical studies of nonlinear ultrasonic guided waves in uniform waveguides with arbitrary cross sections" AIP Publishing 6 (6): 075207-, 2016

14 Yoshikazu Ohara, "Nonlinear ultrasonic imaging method for closed cracks using subtraction of responses at different external loads" Elsevier BV 51 (51): 661-666, 2011

15 Croxford, A. J., "Nonlinear phased array imaging" 2016

16 Yuxiang Zhang, "Nonlinear coda wave interferometry for the global evaluation of damage levels in complex solids" Elsevier BV 73 : 245-252, 2017

17 Kai Wang, "Nonlinear aspects of “breathing” crack-disturbed plate waves: 3-D analytical modeling with experimental validation" Elsevier BV 159 : 140-150, 2019

18 F Lanza di Scalea, "Non-contact ultrasonic inspection of rails and signal processing for automatic defect detection and classification" British Institute of Non-Destructive Testing (BINDT) 47 (47): 346-353, 2005

19 Thakkar, N. A., "Monitoring of rail-wheel interaction using acoustic emission(AE)" 13 : 161-168, 2006

20 Ivan Bartoli, "Modeling guided wave propagation with application to the long-range defect detection in railroad tracks" Elsevier BV 38 (38): 325-334, 2005

21 Eric Larose, "Locating a small change in a multiple scattering environment" AIP Publishing 96 (96): 204101-, 2010

22 Yanfeng Shen, "Local Interaction Simulation Approach for Efficient Modeling of Linear and Nonlinear Ultrasonic Guided Wave Active Sensing of Complex Structures" ASME International 1 (1): 2018

23 Xin Chen, "Load-differential imaging for detection and localization of fatigue cracks using Lamb waves" Elsevier BV 51 : 142-149, 2012

24 Rajamäki, J., "Limitations of eddy current inspection in railway rail evaluation" 232 : 121-129, 2018

25 BBC News, Ed, "India Train Crash: 115 Killed in Derailment near Kanpur"

26 Ming Hong, "In situ health monitoring for bogie systems of CRH380 train on Beijing–Shanghai high-speed railway" Elsevier BV 45 (45): 378-395, 2014

27 Yoshikazu Ohara, "Imaging of closed cracks using nonlinear response of elastic waves at subharmonic frequency" AIP Publishing 90 (90): 011902-, 2007

28 Adams, D. E., "Health Monitoring of Structural Materials and Components : Methods with Applications" John Wiley & Sons, Ltd 2007

29 Jing Rao, "Guided Wave Tomography Based on Full Waveform Inversion" Institute of Electrical and Electronics Engineers (IEEE) 63 (63): 737-745, 2016

30 Stefano Mariani, "Field Test Performance of Noncontact Ultrasonic Rail Inspection System" American Society of Civil Engineers (ASCE) 143 (143): 04017007-, 2017

31 Pengyu Bao, "Fiber Bragg grating sensor fatigue crack real-time monitoring based on spectrum cross-correlation analysis" Elsevier BV 332 (332): 43-57, 2013

32 R. Pippan, "Fatigue crack closure: a review of the physical phenomena" Wiley 40 (40): 471-495, 2017

33 Ze Liu, "Electromagnetic Tomography Rail Defect Inspection" Institute of Electrical and Electronics Engineers (IEEE) 51 (51): 1-7, 2015

34 Anugonda, P., "Diffusion of ultrasound in concrete" 39 : 429-435, 2001

35 Han, H., "Development of novel rail non-destructive inspection technologies" 179 : 121-, 2014

36 J.E. Michaels, "Detection of structural damage from the local temporal coherence of diffuse ultrasonic signals" Institute of Electrical and Electronics Engineers (IEEE) 52 (52): 1769-1782, 2005

37 Zenglu Song, "Detection of Damage and Crack in Railhead by Using Eddy Current Testing" Scientific Research Publishing, Inc. 03 (03): 546-550, 2011

38 Lobkis, O. I., "Coda-wave interferometry in finite solids : Recovery of P-to-S conversion rates in an elastodynamic billiard" 90 : 254302-, 2003

39 Ning-Bo Wang, "Baseline-free damage detection method for beam structures based on an actual influence line" 국제구조공학회 24 (24): 475-490, 2019

40 Xin Zhang, "An investigation on acoustic emission detection of rail crack in actual application by chaos theory with improved feature detection method" Elsevier BV 436 : 165-182, 2018

41 Navneet Gandhi, "Acoustoelastic Lamb wave propagation in biaxially stressed plates" Acoustical Society of America (ASA) 132 (132): 1284-1293, 2012

42 Zhongqing Su, "Acousto-ultrasonics-based fatigue damage characterization: Linear versus nonlinear signal features" Elsevier BV 45 (45): 225-239, 2014

43 Xin Zhang, "Acoustic emission detection of rail defect based on wavelet transform and Shannon entropy" Elsevier BV 339 : 419-432, 2015

44 M Ph Papaelias, "A review on non-destructive evaluation of rails: State-of-the-art and future development" SAGE Publications 222 (222): 367-384, 2008

45 T. Planès, "A review of ultrasonic Coda Wave Interferometry in concrete" Elsevier BV 53 : 248-255, 2013

46 Junfang Wang, "A Bayesian Probabilistic Approach for Acoustic Emission-Based Rail Condition Assessment" Wiley 33 (33): 21-34, 2018