Defect Detection inside a Rail Head by Ultrasonic Guided Waves

Xie, Jingsong; Ding, Wenxiang; Zou, Wen; Wang, Tiantian; Yang, Jinsong

doi:10.3390/sym14122566

Cited by 11 publications

(7 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the existing research [26,34], the generation of guided wave mode is related to excitation in that the desired mode can be excited effectively if the position and direction of excitation signals are the same as the direction of desired mode. Therefore, the midpoint of the long edge and the midpart of the short edge are selected as the best excitation points to conduct guided wave excitation in the vertical direction perpendicular to the detected area.…”

Section: Dispersion Characteristics Analysis Based On Safe Methodsmentioning

confidence: 99%

“…where S denotes the received guided wave signal, and the superscript 1, 2 refer to the receiving piezoelectric wafers on A, B side, and 1A, 2A represent that the excitation position is on the surface A and the receiving sensors are 1, 2, respectively. According to the existing research [26,34], the generation of guided wave mode is related to excitation in that the desired mode can be excited effectively if the position and direction of excitation signals are the same as the direction of desired mode. Therefore, the midpoint of the long edge and the midpart of the short edge are selected as the best excitation points to conduct guided wave excitation in the vertical direction perpendicular to the detected area.…”

Section: Symmetry Analysis For Guided Waves In Square Steel Tubementioning

confidence: 99%

See 1 more Smart Citation

Guided Wave-Based Damage Detection of Square Steel Tubes Utilizing Structure Symmetry

Yang

Zhou

2023

Symmetry

View full text Add to dashboard Cite

Square steel tube, which is widely used in civil engineering, can suffer from a wide variety of damages and aging defects, thus its nondestructive testing (NDT) has attracted wide attention. This work proposes an ultrasonic guided wave (UGW)-based damage detection method for square steel tubes using structure symmetry. Firstly, the dispersion characteristics of square steel tubes are obtained using the semi-analytical finite element (SAFE) method, after which the optimal guided wave modes for damage located on the long and short edges of the steel tube are selected by modal analysis. Then, using the symmetry of the square steel tube’s section, the symmetric layout scheme of the transmitters and the receivers is designed; on this basis, a signal processing strategy for damage detection is proposed by subtracting the receiving signals obtained from symmetric positions. Finally, the effectiveness of the proposed damage detection method is verified by numerical simulations and laboratory experiments. The results show that the proposed method has good inspection accuracy for crack and hole damages on both the long and short edges of square steel tube because the dispersion effect and clutters can be reduced utilizing structure symmetry. It is worth mentioning that the inspection effect for corner holes can be enhanced by modifying the position of the receivers.

show abstract

Section: Dispersion Characteristics Analysis Based On Safe Methodsmentioning

confidence: 99%

Section: Symmetry Analysis For Guided Waves In Square Steel Tubementioning

confidence: 99%

Guided Wave-Based Damage Detection of Square Steel Tubes Utilizing Structure Symmetry

Yang

Zhou

2023

Symmetry

View full text Add to dashboard Cite

show abstract

“…*mizengzhen@163.com Figure 1. Manual visual method for the detection of defects on the upper and lower surfaces of heavy rails NDT methods commonly used in industry can be divided into five major categories: radiation detection method, liquid penetration detection method, eddy current detection method, leakage magnetic detection method, ultrasonic detection method, machine vision detection method, etc [6][7][8][9][10][11][12][13][14] . Machine vision-based surface defects detection with machine vision, image pattern classification of the two major technologies as the core, has become mainstream in many industries in the detection of surface defects have been applied, and received wide attention from scholars at home and abroad, a comparison of the characteristics of different detection technologies are shown in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Full-image acquisition and analysis of hot heavy rail incorporating multiple CCD

Mi,

Zhang,

Tang

et al. 2023

Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023)

View full text Add to dashboard Cite

The rail transportation industry is moving towards heavy loads, high speeds as well as high density operation, which places higher demands on the quality of heavy rail. The quality inspection of rail defects using machine vision first requires obtaining clear surface/planar images of multiple surfaces of the hot heavy rail. Therefore, a vision inspection solution is proposed, which uses a 6-lane linear CCD to photograph the tread surface, bottom surface, and upper and lower waist surfaces of the heavy rail. A comprehensive comparison of various types of light sources was conducted through experiments on chromaticity, brightness, and spectral power. To solve the problem of image overexposure due to infrared radiation of the hot heavy rail, the spectral radiation characteristics of the hot heavy rail were analyzed, and the imaging effects of adding different filters were compared and analyzed. Finally, to solve the problem of out-of-focus due to oscillation of the heavy rail during rolling, the image is analyzed by an automatic focus search strategy, and the results are fed back to the camera to achieve automatic focus, thus adaptively obtaining good image quality and laying a good foundation for further defects detection.

show abstract

“…However, various uncertainties including manufacturing and temperature variation may cause a significant error in elastic parameters, thereby introducing computation errors to the derived Lamb wave dispersion curves. The wavefield method [21,22] with redundant spatial and temporal information is another choice for dispersion curves reconstruction and damage imaging by using a high-dimension Fourier transform. However, a dense number of spatial measurements is strictly required which is time-consuming and laborious.…”

Section: Introductionmentioning

confidence: 99%

A Two-Step Model-Based Reconstruction and Imaging Method for Baseline-Free Lamb Wave Inspection

Fan

Gao

et al. 2023

Symmetry

View full text Add to dashboard Cite

Traditional Lamb wave inspection and imaging methods heavily rely on prior knowledge of dispersion curves and baseline recordings, which may not be feasible in the majority of real cases due to production uncertainties and environmental variations. In order to solve this problem, a two-step Lamb wave strategy utilizing adaptive multiple signal classification (MUSIC) and sparse reconstruction of dispersion reconstruction is proposed. The multimodal Lamb waves are initially reconstructed in the f-k domain using random measurements, allowing for the identification and characterization of multimodal Lamb waves. Then, using local polynomial expansion and derivation, the phase and group velocities for each Lamb wave mode could be computed. Thus, the steering vectors of all potential scattering Lamb waves for each grid in the scanning area can be established, thereby allowing for the formulation of the MUSIC algorithm. To increase the precision and adaptability of the MUSIC method, the local wave components resulting from potential scatters are extracted with an adaptive window, which is governed by the group velocities and distances of Lamb wave propagation. As a result, the reconstructed dispersion relations and windowed wave components can be used to highlight the scattering features. For the method investigation, both a simulation and experiment are carried out, and both the dispersion curves and damage locations can be detected. The results demonstrate that damage localization is possible without theoretical dispersion data and baseline recordings while exhibiting a considerable accuracy and resolution.

show abstract

Defect Detection inside a Rail Head by Ultrasonic Guided Waves

Cited by 11 publications

References 30 publications

Guided Wave-Based Damage Detection of Square Steel Tubes Utilizing Structure Symmetry

Guided Wave-Based Damage Detection of Square Steel Tubes Utilizing Structure Symmetry

Full-image acquisition and analysis of hot heavy rail incorporating multiple CCD

A Two-Step Model-Based Reconstruction and Imaging Method for Baseline-Free Lamb Wave Inspection

Contact Info

Product

Resources

About