A new acoustic emission damage localization method using synchrosqueezed wavelet transforms picker and time-order method
- 15 December 2020
- journal article
- research article
- Published by SAGE Publications in Structural Health Monitoring
- Vol. 20 (6), 2917-2935
- https://doi.org/10.1177/1475921720977041
Abstract
Acoustic emission technique, as a passive structural health monitoring technique, has been widely applied to detecting and locating the structural damage. The time difference of arrival and the wave velocity are the key factors in most of the acoustic emission localization methods, and the accuracy of these two factors will affect the accuracy of damage localization. To improve the accuracy of damage localization, this article proposes a new damage localization method based on the synchrosqueezed wavelet transform picker and the time-order method. The synchrosqueezed wavelet transform picker, which picks the time–frequency similar point based on time–frequency similarity theory in the low-noise interval of time–frequency matrix, can improve the accuracy and robustness of calculating time difference of arrival. Meanwhile, the time-order method not only measures the wave velocity in real time but also reduces the computing time by appropriately arranging the distribution of acoustic emission sensors. These advantages improve the accuracy and robustness of acoustic emission localization, which was verified by experiments. Furthermore, the new localization method was employed to study the energy distribution in the embedded section of steel bar during the pull-out test of steel bar and concrete, and the results show the types of resistance between steel bar and concrete.Keywords
Funding Information
- Natural Science Foundation of Jiangsu Province of China (BK20181198)
- Major State Basic Research Development Program of China (2015CB057704)
- Fundamental Research Funds for the Central Universities of China (DUT19TD26)
This publication has 74 references indexed in Scilit:
- Damage evaluation of reinforced concrete beams with varying thickness using the acoustic emission techniqueConstruction and Building Materials, 2013
- Correlation between features of acoustic emission signals and mechanical wear mechanismsWear, 2012
- Damage detection for a frame structure model using vibration displacement measurementStructural Health Monitoring, 2012
- Synchrosqueezed wavelet transforms: An empirical mode decomposition-like toolApplied and Computational Harmonic Analysis, 2011
- New automatic localization technique of acoustic emission signals in thin metal platesUltrasonics, 2008
- Acoustic emission/microseismic source location analysis for a limestone mine exhibiting high horizontal stressesInternational Journal of Rock Mechanics and Mining Sciences, 2008
- Longitudinal wave propagation. Part I—Comparison of rod theoriesJournal of Sound and Vibration, 2006
- Efficient mine microseismic monitoringInternational Journal of Coal Geology, 2005
- Strategies for reliable automatic onset time picking of acoustic emissions and of ultrasound signals in concreteUltrasonics, 2005
- Comparison of Manual and Automatic Onset Time PickingBulletin of the Seismological Society of America, 2000