Damage detection of ballastless railway tracks by the impact-echo method

Xu, Jingmang; Wang, Ping; An, Boyang; Ma, Xinkai; Chen, Rong

doi:10.1680/jtran.16.00146

Cited by 22 publications

(15 citation statements)

References 14 publications

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“…Electromagnetic waves cannot pass and reflect through the ballastless track structure which contains several layers of reinforcing steel rebars [54,55]; therefore, ground penetrating radar (GPR) is not suitable to detect mud pumping in the subgrade bed under the ballastless track structure, but it can accurately detect the subgrade bed under the waterproof seal layer without reinforcing steel rebars [56,57]. According to this research based on frequency spectrum analysis [58], the contact loss between the ballastless track structure and the subgrade bed caused by mud pumping can be detected by the impact-echo method (IEM), which is an effective nondestructive testing technique widely used for detecting certain defects inside concrete elements or structures [59][60][61]. erefore, the combination of GPR with IEM was used to detect the interlayer in the ballastless track-subgrade affected by mud pumping, as shown in Figure 3.…”

Section: General Situation Of On-site Test Pointmentioning

confidence: 99%

Behavior and Control of the Ballastless Track‐Subgrade Vibration Induced by High‐Speed Trains Moving on the Subgrade Bed with Mud Pumping

Huang

Liu

et al. 2019

Shock and Vibration

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This paper investigates behavior and control of the ballastless track-subgrade vibration induced by high-speed trains under mud pumping occurring in the subgrade bed. The characteristics of mud pumping occurring in the subgrade bed under the ballastless track structure are analyzed by visual observation and nondestructive testing. Then, based on the injection of the low-viscosity epoxy resin (LVER), the repair procedures for the mud pumping are proposed. A variety of on-site tests are performed on the ballastless track-subgrade with and without mud pumping and also after mud pumping reinforcement to analyze the vibration of the ballastless track-subgrade under the high-speed trains. The test results show that mud pumping can significantly increase the vertical vibration acceleration and displacement of the ballastless track structure and slightly decrease the vibration of subgrade surface. After mud pumping reinforcement, the abnormal vibration of the ballastless track-subgrade can be effectively controlled to make the vibration close to normal. In addition, the vibration ratio of the subgrade surface to the concrete base is proposed as a way to evaluate the effectiveness of the reinforcement of the mud pumping using the LVER, based on the vibration attenuation feature of the ballastless track-subgrade.

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Section: General Situation Of On-site Test Pointmentioning

confidence: 99%

Behavior and Control of the Ballastless Track‐Subgrade Vibration Induced by High‐Speed Trains Moving on the Subgrade Bed with Mud Pumping

Huang

Liu

et al. 2019

Shock and Vibration

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show abstract

“…Most of them inspected the internal defects (e.g., cracks and voids) and interlayer gaps of track structures by non-destructive detection techniques. The detection methods utilized include impact-echo method [23,24], ground-penetrating radar method [25,26], and modal testing method [27]. Some researchers also utilized distributed optical fiber sensors to monitor the deformation of track structures [28,29].…”

Section: Introductionmentioning

confidence: 99%

Arching Detection Method of Slab Track in High-Speed Railway Based on Track Geometry Data

Gao

Zhong

et al. 2020

Applied Sciences

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During the long-term service of slab track, various external factors (such as complicated temperature) can result in a series of slab damages. Among them, slab arching changes the structural mechanical properties, deteriorates the track geometry conditions, and even threatens the operation of trains. Therefore, it is necessary to detect slab arching accurately to achieve effective maintenance. However, the current damage detection methods cannot satisfy high accuracy and low cost simultaneously, making it difficult to achieve large-scale and efficient arching detection. To this end, this paper proposed a vision-based arching detection method using track geometry data. The main works include: (1) data nonlinear deviation correction and arching characteristics analysis; (2) data conversion and augmentation; (3) design and experiments of convolutional neural network- based detection model. The results show that the proposed method can detect arching damages effectively, and the F1-score reaches 98.4%. By balancing the sample size of each pattern, the performance can be further improved. Moreover, the method outperforms the plain deep learning network. In practice, the proposed method can be employed to detect slab arching and help to make maintenance plans. The method can also be applied to the data-based detection of other structural damages and has broad prospects.

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“…However, the detection of void defects under track slabs still mainly relies on manual inspection and flaw detection by railway workers during the high-speed railway overhaul period (also known as the ''skylight period''). 4 If the void defect is not found in time, the consequences could be disastrous. Especially in the high-temperature season, void defects occur frequently and determining how to quickly and accurately perform non-contact dynamic detection of void defects under track slabs has become a core problem that needs to be solved in the maintenance of high-speed railway lines.…”

Section: Introductionmentioning

confidence: 99%

Novel method for detection of void defects under track slabs using air-coupled ultrasonic sensors

Chen

Zhu

Fan

et al. 2020

International Journal of Distributed Sensor Networks

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Void defects under track slabs are the main danger affecting the safe operation of high-speed railways. In the short high-speed railway maintenance periods, China’s high-speed railway line maintenance operations must quickly and dynamically determine void defects under track slabs that are in service without contact. However, the detection of void defects under track slabs still mainly relies on the manual inspection and flaw detection by railway workers during the railway maintenance period. If the defects are not quickly identified, the consequences could be disastrous. This article presents a new method for the non-contact dynamic detection of void defects under track slabs. The method involves the use of air-coupled ultrasonic sensors to generate and receive ultrasonic guided waves in the track slab to quantitatively represent the size of the void defect according to the principle of energy leakage of guided waves in the propagation process. The characteristics of the position-amplitude curve, taking the position of the beam axis as the abscissa and the amplitude of the time domain signal as the ordinate, were numerically calculated and analyzed. The quantitative relationship between the convex interval of the position-amplitude curve and the size of the void defect was obtained, and an imaging method of the void defects based on x, y two-dimensional line scanning data fusion is proposed. The excitation and reception methods of air-coupled ultrasonic guided waves were studied, and a 1:1 model of the track structure was built in the laboratory to verify the method and detect the void defect under the track slab. The experimental results show that ultrasonic guided waves can be excited and received in the track slab by air-coupled ultrasonic sensors. Based on the guided wave energy leakage principle, the quantitative characterization and imaging of the void defect under track slabs can be realized.

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Damage detection of ballastless railway tracks by the impact-echo method

Cited by 22 publications

References 14 publications

Behavior and Control of the Ballastless Track‐Subgrade Vibration Induced by High‐Speed Trains Moving on the Subgrade Bed with Mud Pumping

Behavior and Control of the Ballastless Track‐Subgrade Vibration Induced by High‐Speed Trains Moving on the Subgrade Bed with Mud Pumping

Arching Detection Method of Slab Track in High-Speed Railway Based on Track Geometry Data

Novel method for detection of void defects under track slabs using air-coupled ultrasonic sensors

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