Investigation of Acoustic Emission of Cracks in Rails under Loading Close to Operational
Source abstract
Abstract
The paper is devoted to the study of the possibility of detecting cracks in railway rails by the acoustic emission (AE) method. An experimental study of AE signals under cyclic compression loading of rail fragments, which simulates the rail operating load, has been carried out. Fragments of rails without defects, as well as fragments containing pre-grown fatigue cracks, were studied. It was found that AE signals generated by a rail with a crack have higher activity compared to signals from defect-free specimens. It is shown that the AE signals during the loading of defect-free specimens have a short duration and low amplitude and may be caused by the deformation of non-metallic inclusions. The crack presence leads to an increase in the AE hits rate and changes the nature of the distribution of the AE hits amplitudes. It is shown that the crack location has no effect on the reliability of its detection by the AE method. Criteria of crack detection by AE testing are offered as a result of this study.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Material Properties and Failure Mechanisms · Engineering Diagnostics and Reliability · Industrial Engineering and Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Information Technologies and Computer Science, National Research University “Moscow Power Engineering Institute”, Krasnokazarmennaya Str., Moscow 111250, Russia
LLC Interunis-IT, Shosse Entuziastov 20B, Moscow 111240, Russia
Funding
Russian Foundation for Basic Research · Sirius University of Science and Technology · JSC Russian Railways · Educational Fund “Talent and success”
References (31)
Show source-provided references
1. Rail flaw detection technologies for safer, reliable transportation: A review10.1115/1.4037295 ↗
2. Defect detection and location in switch rails by acoustic emission and Lamb wave analysis: A feasibility study10.1016/j.apacoust.2015.11.018 ↗
3. A signal-adapted wavelet design method for acoustic emission signals of rail cracks10.1016/j.apacoust.2018.04.038 ↗
4. An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection10.1016/j.ndteint.2004.02.001 ↗
5. Detection of the onset of fatigue crack growth in rail steel using acoustic emission10.1016/0013-7944(94)90221-6 ↗
6. Rail–wheel interaction monitoring using Acoustic Emission: A laboratory study of normal rolling signals with natural rail defects10.1016/j.ymssp.2009.06.007 ↗
7. A laboratory study of rail-wheel interaction monitoring using acoustic emission: Effect of rolling conditions with and without lateral rattling10.1177/0954409712458497 ↗
8. Rail-wheel contact stress assessment using acoustic emission: A laboratory study of the effects of wheel flats10.1177/0954409711402138 ↗
9. A parameter optimized variational mode decomposition method for rail crack detection based on acoustic emission technique10.1080/10589759.2020.1785447 ↗
10. Wayside detection of faults in railway axle bearings using time spectral kurtosis analysis on high-frequency acoustic emission signals10.1177/1687814016676000 ↗
11. Wavelet packet transform for detection of single events in acoustic emission signals10.1016/j.ymssp.2015.04.014 ↗
12. Acoustic emission detection of rail defect based on wavelet transform and Shannon entropy10.1016/j.jsv.2014.11.021 ↗
13. Rail crack monitoring based on Tsallis synchrosqueezed wavelet entropy of acoustic emission signals: A field study10.1177/1475921717742339 ↗
14. Zhang, X., Feng, N., Zou, Z., Wang, Y., and Shen, Y. (2015, January 11–14). An investigation on rail health monitoring using acoustic emission technique by tensile test. Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Pisa, Italy.10.1109/I2MTC.2015.7151415 ↗
15. A Bayesian Probabilistic Approach for Acoustic Emission-Based Rail Condition Assessment
16. Zhang, X., Wang, K., Wang, Y., Shen, Y., and Hu, H. (2017, January 22–25). An improved method of rail health monitoring based on CNN and multiple acoustic emission events. Proceedings of the 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Turin, Italy.10.1109/I2MTC.2017.7969693 ↗
17. Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network10.1177/1475921720922797 ↗
18. Rail crack detection using acoustic emission technique by joint optimization noise clustering and time window feature detection10.1016/j.apacoust.2019.107141 ↗
19. Acoustic emission monitoring of wheel sets on moving trains10.1016/j.conbuildmat.2013.02.013 ↗
20. Detection of crack growth in rail steel using acoustic emission10.1179/1743281212Y.0000000051 ↗
21. Fatigue crack sizing in rail steel using crack closure-induced acoustic emission waves10.1088/1361-6501/aa670d ↗
22. Correlation between features of acoustic emission signals and mechanical wear mechanisms10.1016/j.wear.2012.05.019 ↗
23. Hase, A. (2020). Early Detection and Identification of Fatigue Damage in Thrust Ball Bearings by an Acoustic Emission Technique. Lubricants, 8.10.3390/lubricants8030037 ↗
24. Acoustic Emission Inspection, Metals handbook
25. Multiple Avalanche Processes in Acoustic Emission Spectroscopy: Multibranching of the Energy−Amplitude Scaling10.1002/pssb.202100465 ↗
26. Acoustic Emission from Porous Collapse and Moving Dislocations in Granular Mg-Ho Alloys under Compression and Tension10.1038/s41598-018-37604-5 ↗
27. Anisotropic mechanical and acoustic emission behavior of A533B steels10.1016/0025-5416(81)90051-3 ↗
28. Barat, V., Marchenkov, A., Bardakov, V., Zhgut, D., Karpova, M., Balandin, T., and Elizarov, S. (2022). Assessment of the Structural State of Dissimilar Welded Joints by the Acoustic Emission Method. Appl. Sci., 12.10.3390/app12147213 ↗
29. Effects of the welding inclusion and notch on the fracture behaviors of low-alloy steel10.1016/j.jmrt.2018.04.005 ↗
30. The Nature of Acoustic Emission during Deformation Processes in Metallic Materials10.1063/1.5052679 ↗
31. General Framework for Acoustic Emission during Plastic Deformation10.1103/PhysRevB.92.144109 ↗