Sensors 2016, 16(10), 1623; https://doi.org/10.3390/s16101623
Amplitude Dispersion Compensation for Damage Detection Using Ultrasonic Guided Waves
1
School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
2
State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China
*
Author to whom correspondence should be addressed.
Academic Editors: Dipen N. Sinha and Cristian Pantea
Received: 4 August 2016 / Revised: 19 September 2016 / Accepted: 27 September 2016 / Published: 30 September 2016
(This article belongs to the Special Issue Ultrasonic Sensors)
Abstract
Besides the phase and group velocities, the amplitude of guided wave mode is also frequency dependent. This amplitude dispersion also influences the performance of guided wave methods in nondestructive evaluation (NDE) and structural health monitoring (SHM). In this paper, the effects of amplitude dispersion to the spectrum and waveform of a propagating wave-packet are investigated. It is shown that the amplitude dispersion results in distortion in the spectrum of guided wave response, and thus influences the waveform of the wave-packet. To remove these effects, an amplitude dispersion compensation method is established on the basis of Vold–Kalman filter and Taylor series expansion. The performance of that method is then investigated by experimental examples. The results show that with the application of the amplitude dispersion compensation, the time reversibility could be preserved, which ensures the applicability of the time reversal method for damage detection. Besides, through amplitude dispersion compensation, the testing resolution of guided waves could be improved, so that the structural features located in the close proximity may be separately identified. View Full-TextKeywords:
guided wave; dispersion; time reversibility; testing resolution
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MDPI and ACS Style
Zeng, L.; Lin, J.; Huang, L.; Zhao, M. Amplitude Dispersion Compensation for Damage Detection Using Ultrasonic Guided Waves. Sensors 2016, 16, 1623.
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