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

Masmoudi, Mohamed; Yaacoubi, Slah; Koabaz, Mahmoud; Akrout, Mabrouka; Skaiky, Ahmad

doi:10.1177/09544097211025898

Cited by 13 publications

(4 citation statements)

References 103 publications

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“…As mentioned before, the generation and reception of signals was ensured using UGW technique. UGW are stress waves, which propagate through an elongated medium and are guided by its boundaries [1] , [2] , [3] . They can propagate over long distances in structures, making it possible to detect defects over a considerable area with sparse number of transducers [4] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Dataset for structural health monitoring of pipelines using ultrasonic guided waves

Mountassir

Yaacoubi

2022

Data in Brief

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Dataset for structural health monitoring of pipelines using ultrasonic guided waves

Mountassir

Yaacoubi

2022

Data in Brief

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“…To prevent train accidents, rail surface defect (RSD) inspection is essential. At present, computer-based RSD inspection based on the convolution neural network model [1,2] has been of significant concern to potentially replace manual RSD inspection methods, such as eddy current testing [3], ultrasonic testing [4], and acoustic emission testing [5]. Although computer vision technology can solve the problems related to time consumption, safety, human resources, and automation, this approach faces significant challenges from image noise, in which the vibration of the detector is an important source that causes noise.…”

Section: Introductionmentioning

confidence: 99%

Suspension Control and Characterization of a Variable Damping Magneto-Rheological Mount for a Micro Autonomous Railway Inspection Car

Shiao

Huynh

2022

Applied Sciences

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This paper aims to present a suspension control strategy for a semi-active mount with variable damping utilizing a smart magneto-rheological fluid (MRF), which will be applied in a micro autonomous railway inspection car as a primary suspension to protect the inspection equipment from the large suspension vibration on rails. We proposed a new multi-pole structure design for a semi-active magneto-rheological mount (MR mount) that can provide both a high damping force and a wide damping force band. Firstly, the mathematical model of MR mount dynamics was derived; secondly, a skyhook control strategy was developed for the MR mount; and finally, a dynamic simulation problem using Matlab software was constructed to evaluate the performance of the MR mount. The dynamic simulation results showed that the proposed MR mount using a skyhook control strategy showed greater vibration isolation performance compared to conventional passive mounts. In particular, the absolute displacement, velocity, and acceleration of the detector device were reduced by 83.33%, 77%, and 70%, respectively. The suspension vibration transmitted to the inspection device also decreased significantly, compared to input oscillation (i.e., un-sprung mass oscillation). Specifically, the suspension vibration reduced by a half at the excitation frequency of 2-fold the natural frequency and by greater magnitudes at higher excitation frequencies.

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“…Compared to surface defects, the internal defects of rail head are more dangerous, and they are not occasionally found [17]. Transverse fissure (TF), which originates from a nucleus inside the rail head and is enlarged progressively by vehicle dynamic loads, has been considered as the first cause of rail breakage [18].…”

Section: Introductionmentioning

confidence: 99%

Defects Detection inside the Rail Head by Ultrasonic Guided Waves

Xie

Ding

Zou

et al. 2022

Preprint

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Early detection of defects inside the rail is of great significance to ensure the safety of rail transit. This work investigates the ability of ultrasonic guided waves (UGWs) to detect internal defects of the rail head. First, the model of UGWs propagation in rail, which has an irregular cross-section, is constructed based on semi-analytical finite element (SAFE). Fundamental characteristics such as wavenumber, phase or group velocity, and wave structure inside the rail are then calculated. Following modal and vibration energy distribution analysis, a guided wave mode sensitive to transverse fissure (TF) defects is selected and its excitation method is proposed. The effectiveness of the excitation method is confirmed by simulations performed in the ABAQUS software. According to the simulation data, the dispersion curve calculated by using the two-dimensional Fourier Fast Transform (2D-FFT) coincides well with that of SAFE. After that, the sensitivity of the selected mode to rail internal defect have been validated and its ability to locate defects has also been demonstrated. Finally, the effect of excitation frequency, defect size, defect vertical and horizontal depth on the reflection waveforms is investigated.

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

Cited by 13 publications

References 103 publications

Dataset for structural health monitoring of pipelines using ultrasonic guided waves

Dataset for structural health monitoring of pipelines using ultrasonic guided waves

Suspension Control and Characterization of a Variable Damping Magneto-Rheological Mount for a Micro Autonomous Railway Inspection Car

Defects Detection inside the Rail Head by Ultrasonic Guided Waves

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