Abstract
Safety of high-speed trains is a key concern from the design process to operation. Considering the limitations of traditional off-line nondestructive testing methods, an active guided Lamb wave-based online damage detection technique was investigated, and a damage detection system built with the technique was implemented online to ensure the safety of bogie frames of running high-speed trains. Miniaturized standard PZT sensors were developed to compose a pitch-catch-based active sensor network for wave excitation and acquisition in the bogie. As a part of the new conformance testing of China’s latest high-speed train model, experiments on a bogie frame of the train were carried out and the results from different damage conditions demonstrated high reliability and accuracy of the technique and the system.
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References
Yuan S (2007) Structural health monitoring and damage control. National Defence Industry Press, Beijing (in Chinese)
Su Z, Ye L, Lu Y (2006) Guided lamb waves for identification of damage in composite structures: a review. J Sound Vib 295(3–5):753–780
Raghavan A, Cesnik C (2007) Review of guided-wave structural health monitoring. Shock Vibr Digest 39(2):91–114
Lamb H (1917) On waves in an elastic plate review of vibration-based helicopters health and usage monitoring methods. Proc R Soc A93:114–128
Burrows SE, Dutton B, Dixon S (2012) Laser generation of Lamb waves for defect detection: experimental methods and finite element modeling. IEEE Trans Ultrason Ferroelectr Freq Control 59(1):82–89
Cai J, Shi L, Yuan S et al (2011) Virtual time reversal method based on broadband excitation. Chin J Sci Instrum 32(1):218–224 (in Chinese)
Wang Q, Yuan S (2009) Baseline-free imaging method based on new pzt sensor arrangements. J Intell Mater Syst Struct 20(14):1663–1673
Qiu L, Yuan S, Zhang X et al (2011) A time reversal focusing based impact imaging method and its evaluation on complex composite structures. Smart Mater Struct 20(10):105014
Yu L, Giurgiutiu V (2008) In situ 2-D piezoelectric wafer active sensors arrays for guided wave damage detection. Ultrasonics 48(2):117–134
Lu X, Lu M, Zhou L et al (2011) Evaluation of welding damage in welded tubular steel structures using guided waves and a probability-based imaging approach. Smart Mater Struct 20:015018
Wang D, Ye L, Lu Y et al (2009) Probability of the presence of damage estimated from an active sensor network in a composite panel of multiple stiffeners. Compos Sci Technol 69:2054–2063
Mal A, Ricci F, Banerjee S et al (2005) A conceptual structural health monitoring system based on vibration and wave propagation. Structural Health Monit 4:283–293
Qiu L, Yuan S (2009) On development of a multi-channel PZT array scanning system and its evaluating application on UAV wing box. Sens Actuators A: Phys, A 151(2):220–230
Acknowledgments
This work is supported by National Natural Science Foundation of China (Research Grants 11202107, 51375414), the Research Fund for the Doctoral Program of Higher Education (Research Grants 20113223120008), and Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Research Grants 11KJB130002)
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Wang, Q., Hong, M., Su, Z., Xu, J. (2014). A Guided Wave Based Online Health Monitoring Technique for High-Speed Train Bogie Structures. In: Jia, L., Liu, Z., Qin, Y., Zhao, M., Diao, L. (eds) Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume I. Lecture Notes in Electrical Engineering, vol 287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53778-3_30
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DOI: https://doi.org/10.1007/978-3-642-53778-3_30
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