Abstract
Welded tubular steel structures (WTSS) are widely used in bogie frames of train, which usually play vital roles in the whole framework. Structural Health Monitoring (SHM) in terms of ultrasonic guided waves (UGWs)-based technology on such kind of structures deserves in-depth investigation. In this study, propagation behavior of UGWs in a WTSS, which is a real size model for a train bogie frame segment, was investigated using both finite element method (FEM) and experimental analysis for the purpose of damage evaluation. A sensor network made up of piezoelectric wafers was employed to generate UGWs and collect response signals. Excitations at chosen frequencies were applied to the active PZT transducers with the aim of getting enough signals for study. An imaging approach based on a signal feature named “time of maximal difference” (ToMD) and the subsequent concept “damage presence probability” (DPP) was developed and then utilized to estimate the presences and locations of multiple welding damages in welding zones. In virtual of a dual-level data fusion procedure, visualized and numerical results for damage evaluation were obtained and analyzed. It’s indicated that the recommended approach is effective and accurate in evaluating damage presence and location in the given conditions. Subsequently, two fatigue cracks, as common failures in WTSS, were introduced into a steel angle structure (SAS) which is half of the WTSS and a steel plate respectively for fatigue crack identification and monitoring. Similar approach was used for identifying the fatigue crack. Results show that fatigue cracks can reflect guided waves by reason of discontinuous contact of crack surfaces, and demonstrate the feasibility and effectiveness of the proposed method for real-time monitoring of fatigue cracks in bogie frames of the train.
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References
Barke, D., Chiu, W.K.: Structural health monitoring in the railway industry: A review. Struct. Health Monit. 4(1), 81–93 (2005)
Fernandes, B., Gaydecki, P., Burdekin, F.M.: An intelligent sensor system for monitoring fatigue damage in welded steel components. Nondestructive Testing and Evaluation 21(1), 13–25 (2006)
Ihn, J.B., Chang, F.K.: Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics. Smart Materials & Structures 13(3), 609–620 (2004)
Leong, W.H., Staszewski, W.J., Lee, B.C., Scarpa, F.: Structural health monitoring using scanning laser vibrometry: III. Lamb waves for fatigue crack detection. Smart Mater. Struct. 14, 1387–1395 (2005)
Lu, X., Lu, M.Y., Zhou, L.M., Su, Z.Q., Cheng, L., Ye, L., Meng, G.A.: Evaluation of welding damage in welded tubular steel structures using guided waves and a probability-based imaging approach. Smart Materials & Structures 20(1), 15018 (2011)
Moyo, P., Brownjohn, J.M.W.: Detection of anomalous structural behaviour using wavelet analysis. Mechanical Systems and Signal Processing 16(2-3), 429–445 (2002)
MTR. Circular for rail merger (2007), http://www.mtr.com.hk/eng/investrelation/circulars2007/ew%200066cir%2020070903.pdf.
Na, J.K., Blackshire, J.L.: Interaction of Rayleigh surface waves with a tightly closed fatigue crack. NDT&E International 43, 432–439 (2010)
Ostachowicz, W., Kudela, P., Malinowski, P., Wandowski, T.: Damage localisation in plate-like structures based on PZT sensors. Mechanical Systems and Signal Processing 23(6), 1805–1829 (2009)
Raghavan, A., Cesnik, C.E.S.: Review of guided-wave structural health monitoring. Shock and Vibration Digest 39(2), 91–114 (2007)
Rokhlin, S.I., Kim, J.Y.: In situ ultrasonic monitoring of surface fatigue crack initiation and growth from surface cavity. International Journal of Fatigue 25, 41–49 (2003)
Rose, J.L., Avioli, M.J., Song, W.-J.: Application and potential of guided wave rail inspection. Insight 44, 353–358 (2002)
Staszewski, W.J., Lee, B.C., Traynor, R.: Fatigue crack detection in metallic structures with Lamb waves and 3D laser vibrometry. Meas. Sci. Technol. 18, 727–739 (2007)
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© 2012 Springer-Verlag Berlin Heidelberg
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Lu, M.Y., Lu, X., Zhou, L.M., Li, F.C. (2012). Failure Detection on Train Bogie Frames Using Guided Waves and an Image-Based Approach. In: Ni, YQ., Ye, XW. (eds) Proceedings of the 1st International Workshop on High-Speed and Intercity Railways. Lecture Notes in Electrical Engineering, vol 148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27963-8_40
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DOI: https://doi.org/10.1007/978-3-642-27963-8_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27962-1
Online ISBN: 978-3-642-27963-8
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