TY - GEN
T1 - In Situ Condition Monitoring of High-Speed Rail Tracks Using Diffuse Ultrasonic Waves
T2 - 2nd World Congress on Condition Monitoring, WCCM 2019
AU - Wang, K.
AU - Cao, W.
AU - Su, Z.
N1 - Funding Information:
Acknowledgements The work was supported by a Key Project (No. 51635008) and a General Project (No. 51875492) received from the National Natural Science Foundation of China. The authors acknowledge the support from the Hong Kong Research Grants Council via General Research Funds (Nos.: 15201416 and 15212417).
Publisher Copyright:
© 2021, Springer Nature Singapore Pte Ltd.
PY - 2021/2/3
Y1 - 2021/2/3
N2 - Real-time condition monitoring is a critical step to warrant the integrity of rail tracks in bourgeoning high-speed railway (HSR) industry. Nevertheless, existing damage identification, condition monitoring and structural health monitoring (SHM) approaches, despite their proven effectiveness in laboratory demonstration, are restricted from in-situ implementation in engineering practice. By leveraging authors’ continued endeavours, an in situ health and condition monitoring framework, using actively generated diffuse ultrasonic waves (DUWs) and a benchmark-free condition-contrasting algorithm, has been developed and deployed. Fatigue cracks in the tracks show unique contact behaviours under different conditions of external loads and further disturb DUW propagation, and the crack growth induced by external loads can also alternate DUW propagation. By contrasting DUW propagation traits, fatigue cracks in rail tracks can be characterised quantitatively and the holistic condition of the tracks can be evaluated in a real-time manner. Compared with guided wave- or acoustic emission-based methods, the DUW-driven inspection philosophy exhibits immunity to ambient noise and measurement uncertainty, less dependence on baseline signals, and high robustness in atrocious engineering conditions. Conformance tests are performed on rail tracks, in which the evolution of fatigue damage is monitored continuously and quantitatively, demonstrating effectiveness, reliability and robustness of DUW-driven condition monitoring towards HSR applications.
AB - Real-time condition monitoring is a critical step to warrant the integrity of rail tracks in bourgeoning high-speed railway (HSR) industry. Nevertheless, existing damage identification, condition monitoring and structural health monitoring (SHM) approaches, despite their proven effectiveness in laboratory demonstration, are restricted from in-situ implementation in engineering practice. By leveraging authors’ continued endeavours, an in situ health and condition monitoring framework, using actively generated diffuse ultrasonic waves (DUWs) and a benchmark-free condition-contrasting algorithm, has been developed and deployed. Fatigue cracks in the tracks show unique contact behaviours under different conditions of external loads and further disturb DUW propagation, and the crack growth induced by external loads can also alternate DUW propagation. By contrasting DUW propagation traits, fatigue cracks in rail tracks can be characterised quantitatively and the holistic condition of the tracks can be evaluated in a real-time manner. Compared with guided wave- or acoustic emission-based methods, the DUW-driven inspection philosophy exhibits immunity to ambient noise and measurement uncertainty, less dependence on baseline signals, and high robustness in atrocious engineering conditions. Conformance tests are performed on rail tracks, in which the evolution of fatigue damage is monitored continuously and quantitatively, demonstrating effectiveness, reliability and robustness of DUW-driven condition monitoring towards HSR applications.
KW - Condition contrasting
KW - Diffuse ultrasonic wave
KW - Fatigue crack
KW - High-speed railway
KW - In situ structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=85102625485&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-9199-0_57
DO - 10.1007/978-981-15-9199-0_57
M3 - Conference article published in proceeding or book
AN - SCOPUS:85102625485
SN - 9789811591983
T3 - Lecture Notes in Mechanical Engineering
SP - 601
EP - 609
BT - WCCM 2019
A2 - Gelman, Len
A2 - Martin, Nadine
A2 - Malcolm, Andrew A.
A2 - (Edmund) Liew, Chin Kian
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 2 December 2019 through 5 December 2019
ER -