Nonlinear guided waves for fatigue crack detection in a steel joint

Yu Lee, Ye Lu, Wing Kong Chiu, Iman Salehi

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Abstract

Higher capacity and faster rail transport systems are in demand due to population and economic growth which imposes a greater possibility of fatigue failure in railways. This paper presents an experimental study of nonlinear guided wave-based fatigue crack identification in a steel joint subjected to tensile fatigue loadings. The steel joint is considered as a section of a railway bogie, which is a vital component of the train holding the axles, suspension and brakes, and is located at a stress concentration area of the structure. The second symmetric mode (SI) of Lamb waves was selected as the input signal and excited by piezoelectric transducers which were installed on the top surface of the joint. The sensing paths were aligned perpendicularly to and at various distances away from the crack. When the waves interacted with the crack, higher harmonics were produced owing to contact acoustic nonlinearity (CAN). A nonlinear index based on the second harmonic characteristics is exploited to define the nonlinearity. The finding from this experiment indicated that there was a significant change in nonlinearity at the stage of crack initiation and crack growth. Therefore, nonlinear guided waves offer the feasibility in detecting fatigue crack in steel joint.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2019
Subtitle of host publicationEnabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
EditorsFu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
PublisherDEStech Publications, Inc
Pages718-724
Number of pages7
Volume1
ISBN (Electronic)9781605956015
Publication statusPublished - 2019
EventInternational Workshop on Structural Health Monitoring (IWSHM) 2019 - Stanford, United States of America
Duration: 10 Sep 201912 Sep 2019
Conference number: 12th
http://web.stanford.edu/group/sacl/workshop/IWSHM2019/keynote.html
https://web.stanford.edu/group/sacl/workshop/IWSHM2019/proceeding.html

Workshop

WorkshopInternational Workshop on Structural Health Monitoring (IWSHM) 2019
Abbreviated titleIWSHM 2019
CountryUnited States of America
CityStanford
Period10/09/1912/09/19
Internet address

Cite this

Lee, Y., Lu, Y., Chiu, W. K., & Salehi, I. (2019). Nonlinear guided waves for fatigue crack detection in a steel joint. In F-K. Chang, A. Guemes, & F. Kopsaftopoulos (Eds.), Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring (Vol. 1, pp. 718-724). DEStech Publications, Inc.