Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves
Joint Authors
Zhu, Liqiang
Yu, Zujun
Shi, Hongmei
Xing, Bo
Xu, Xining
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-08
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
The cross-sectional geometry of a rail is complex, and numerous guided wave modes can be propagated in rails.
In order to select a mode which is the most suitable for detecting a specific crack on a rail, a mathematical model of guided wave mode selection is constructed.
The model is composed of a modal vibration factor and a modal orthogonal factor.
By setting a reasonable vibration coefficient and orthogonal coefficient, the mode with the highest sensitivity to cracks is selected for crack detection.
Taking a vertical crack on the rail bottom as an example, mode 1 at a frequency of 60 kHz is selected as the most suitable detection mode.
At the same time, mode 7 and mode 11 are selected as comparative modes, and these three modes are simulated to detect rail cracks.
Among them, mode 1 is the best, which verifies the correctness of the mode selection model.
In addition, vertical cracks are manufactured artificially on the side of the rail bottom.
The cracks are successfully detected by mode 1, and the positioning error is 0.07 m.
After correction, the error is reduced to 0.02 m.
The model can effectively select guided wave modes suitable for detecting arbitrary cracks on rails, which provides a theoretical solution for rail crack detection.
American Psychological Association (APA)
Xing, Bo& Yu, Zujun& Xu, Xining& Zhu, Liqiang& Shi, Hongmei. 2020. Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves. Shock and Vibration،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1210351
Modern Language Association (MLA)
Xing, Bo…[et al.]. Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves. Shock and Vibration No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1210351
American Medical Association (AMA)
Xing, Bo& Yu, Zujun& Xu, Xining& Zhu, Liqiang& Shi, Hongmei. Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1210351
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210351