A guided wave approach to defect detection under shelling in rail

Lee, Chong Myoung; Rose, Joseph L.; Cho, Younho

doi:10.1016/j.ndteint.2008.09.013

Cited by 52 publications

(22 citation statements)

References 9 publications

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“…Hayashi et al [4] accomplished this task with the SAFE technique, but found so many close-by dispersion curves that it proved difficult to analyze. Subsequently, Lee et al [5] tackled the problem by examining wave structures at various regions of the dispersion curve (see .…”

Section: Transverse Crack Detection In the Head Of A Railmentioning

confidence: 99%

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Aspects of a Hybrid Analytical Finite Element Method Approach for Ultrasonic Guided Wave Inspection Design

Rose

2017

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

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A strategy is presented here to develop guided wave inspection systems using short-range ultrasonic guided waves. A hybrid analytical finite element method (FEM) is presented. The importance of dispersion curve computation, wave structure analysis in the test part, actuator design, the establishment of appropriate boundary conditions from the actuator design to be used in any FEM computations leading to key experiments, and aspects of system design are discussed. Several interesting problems reported by the author in previous publications are used here to stress the importance of mode and frequency choice when solving guided wave problems.

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Section: Transverse Crack Detection In the Head Of A Railmentioning

confidence: 99%

“…For further details, see Refs. Source influence for a typical comb transducer excitation for an ability to generate a specific mode and frequency [1,5]. Other points on the dispersion curves shown in Fig.…”

Section: Transverse Crack Detection In the Head Of A Railmentioning

confidence: 99%

Aspects of a Hybrid Analytical Finite Element Method Approach for Ultrasonic Guided Wave Inspection Design

Rose

2017

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

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“…Bartoli et al (including Lanza di Scalea) in 2006 employed modeling aspects of wave propagation in damped waveguides of arbitrary crosssection [42]. Lee et al 2009 used a guided wave approach for defect detection under shelling in rail with wave structure selection examples for sensor design to achieve special effects [43].…”

Section: Railmentioning

confidence: 99%

The upcoming revolution in ultrasonic guided waves

Rose

2011

SPIE Proceedings

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“…Ultrasound guided waves are widely used in the non-destructive testing of continuous welded rails because of their wide coverage and rapid propagation over large distances [1,2]. Compared with simple waveguide structures, such as plates and pipelines, rails have much more complex cross-sectional structures; thus, they require far more complicated ultrasonic wave modes for defect detection.…”

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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A guided wave approach to defect detection under shelling in rail

Cited by 52 publications

References 9 publications

Aspects of a Hybrid Analytical Finite Element Method Approach for Ultrasonic Guided Wave Inspection Design

Aspects of a Hybrid Analytical Finite Element Method Approach for Ultrasonic Guided Wave Inspection Design

The upcoming revolution in ultrasonic guided waves

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

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