Modal amplitude extraction of guided waves in rails using scanning laser vibrometer measurements

Loveday, Philip W.; Long, Craig S.

doi:10.1063/1.4716229

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…73 A method proposed by Loveday et al. 74,75 can be recommended. It concerns the extraction of the amplitudes of the modes, which can be generated simultaneously, from time signals acquired around the rail circumference.…”

Section: Defect Detectionmentioning

confidence: 99%

See 1 more Smart Citation

On the use of ultrasonic guided waves for the health monitoring of rails

Masmoudi

Yaacoubi

Koabaz

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part F:

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This paper deals with the health monitoring of rails. Many nondestructive techniques have been applied to rule on the health of rails. Ultrasonic guided waves (UGWs) technique is one among them. The current study focuses on this technique. First, it describes several kinds of defects that can occur in rails. Then, it presents the principle, advantages and limitations of UGW technique. The paper gathers as exhaustive as possible the previous works in which the said technique was used as a tool to monitor the health of rails. The paper put special emphasis on the use of UGW in structural health monitoring (SHM) context. In order to better understand the benefit/need of this technique in this context, by especially the non-specialist reader, a background concerning SHM is provided.

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Section: Defect Detectionmentioning

confidence: 99%

“…(a) laser vibrometer, 74 (b) four transducer array on operational rail track (two transducers hidden on opposite side of rail head), 76 (c) an array of transducers mounted under a rail foot, 77 (d) piezoelectric elements around rail circumference. 78 …”

Section: Defect Detectionmentioning

confidence: 99%

On the use of ultrasonic guided waves for the health monitoring of rails

Masmoudi

Yaacoubi

Koabaz

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part F:

View full text Add to dashboard Cite

show abstract

“…Loveday and C.S. Long [10][11][12][13][14] analyzed the guided wave mode data in rails at frequencies of 25 kHz and 35 kHz using the SAFE method and measured along the rails using a laser vibrometer. A large number of vibration data were obtained, the amplitudes of each mode were calculated, and the vibration waveforms of distant rails were successfully predicted.…”

Section: Introductionmentioning

confidence: 99%

Research on a Rail Defect Location Method Based on a Single Mode Extraction Algorithm

Xing

et al. 2019

Applied Sciences

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This paper proposes a rail defect location method based on a single mode extraction algorithm (SMEA) of ultrasonic guided waves. Simulation analysis and verification were conducted. The dispersion curves of a CHN60 rail were obtained using the semi-analytical finite element method, and the modal data of the guided waves were determined. According to the inverse transformation of the excitation response algorithm, modal identification under low-frequency and high-frequency excitation was realized, and the vibration displacements at other positions of a rail were successfully predicted. Furthermore, an SMEA for guided waves is proposed, through which the single extraction results of four modes were successfully obtained when the rail was excited along different excitation directions at a frequency of 200 Hz. In addition, the SMEA was applied to defect location detection, and the single reflection mode waveform of the defect was extracted. Based on the group velocity of the mode and its propagation time, the distance between the defect and the excitation point was measured, and the defect location was predicted as a result. Moreover, the SMEA was applied to locate the railhead defect. The detection mode, the frequency, and the excitation method Were selected through the dispersion curves and modal identification results, and a series of signals of the sampling nodes were obtained using the three-dimensional finite element software ANSYS. The distance between the defect and the excitation point was calculated using the SMEA result. When compared with the structure of the simulated model, the errors obtained were all less than 0.5 m, proving the efficacy of this method in precisely locating rail defects, thus providing an innovated solution for rail defect location.

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Modal amplitude extraction of guided waves in rails using scanning laser vibrometer measurements

Cited by 2 publications

References 9 publications

On the use of ultrasonic guided waves for the health monitoring of rails

On the use of ultrasonic guided waves for the health monitoring of rails

Research on a Rail Defect Location Method Based on a Single Mode Extraction Algorithm

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