Research on Numerical Simulation of Rail Non-contact Nondestructive Testing Technology

doi:10.12141/j.issn.1000-565X.220018

Abstract

Abstract:

Focusing on the shortage of existing rail inspection technology, the paper proposed a non-contact nondestructive inspection method based on air coupled guided wave. An acoustic-solid coupling simulation model was established to simulate the whole process of air coupled guided wave excitation and reception, and verified based on acoustic theory. Firstly, the influence of different damage severity of rail bottom on the received guided wave signal was simulated and analyzed through the numerical model. Then, a damage assessment method based on wavelet coefficients of the center frequency of the excitation signal was proposed, considering the influence of high intensity random white noise on air coupled guided waves. The results show that, based on the Snell's law and acoustic theory, the optimal excitation angle and reception angle of rail air-coupled guided wave detection is 6.6°; the air coupled guided wave still has the advantage of waveform stabilization, energy concentration and high interference resistance; regardless of the size and the spatial location of the damage, the arrival time of the wave packet center of the received sound pressure time domain signal is almost the same. The range of damage index will be different with the change of damage severity. The wavelet coefficient method based on the center frequency of the excitation signal is simple, feasible, and accurate, and it is suitable for the damage detection of known narrowband guided wave signals, and it can effectively identify rail damage when the received signal is seriously polluted by noise. It is feasible to detect steel rail damage based on air-coupled guided wave.

Key words: rail, air-coupled, guided wave, non-contact nondestructive, numerical simulation, damage assessment

CLC Number:

U213.4

DAI Gonglian, CHEN Kun, GE Hao, et al. Research on Numerical Simulation of Rail Non-contact Nondestructive Testing Technology[J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(4): 44-52.

Figures/Tables 13

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