Temperature Characteristics Analysis of the Ballastless Track under Continuous Hot Weather

Yang, Rongshan; Li, Jiali; Kang, Weixin; Liu, Xueyi; Cao, Shihao

doi:10.1061/jtepbs.0000076

Cited by 32 publications

(25 citation statements)

References 7 publications

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“…The temperature distributions in concrete box-girder bridges were analyzed [11][12][13][14][15] and empirical formulas were proposed to predict the maximum vertical and lateral temperature gradients. As one of the most significant factors producing interfacial cracks [16] and longitudinal buckling [17] in ballastless tracks, the temperature distribution has a great influence on the thermal behavior of ballastless tracks [18][19][20][21][22]. The main causes of the structural diseases in ballastless track structures are the variation of the ambient temperature and the difference in thermal behavior between the cement emulsified asphalt mortar (the CA mortar) and the concrete [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of the Temperature Distribution in CRTS-II Ballastless Tracks on a High-Speed Railway Bridge

Zhao¹,

Zhou²,

Zhang³

et al. 2020

Applied Sciences

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To study the temperature distribution in the China Railway Track System Type II ballastless slab track on a high-speed railway (HSR) bridge, a 1:4 scaled specimen of a simply-supported concrete box girder bridge with a ballastless track was constructed in laboratory. Through a rapid, extreme high temperature test in winter and a conventional high temperature test in summer, the temperature distribution laws in the track on the HSR bridge were studied, and the vertical and transverse temperature distribution trend was suggested for the track. Firstly, the extreme high temperature test results showed that the vertical temperature and the vertical temperature difference distribution in the track on HSR bridge were all nonlinear with three stages. Secondly, the extreme high temperature test showed that the transverse temperature distribution in the track was of quadratic parabolic nonlinear form, and the transverse temperature gradient in the bottom base was significantly higher than that of the other layers of the track. Thirdly, the three-dimensional temperature distribution in the track on HSR bridge was a nonlinear, three-stage surface. Furthermore, similar regularities were also obtained in the conventional high temperature test, in which the temperature span ranges were different from those of the extreme high temperature test. In addition, the conventional high temperature test also showed that under the natural environment conditions, the internal temperature gradient in the track layers changed periodically (over a period of 24 h).

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Section: Introductionmentioning

confidence: 99%

Experimental Study of the Temperature Distribution in CRTS-II Ballastless Tracks on a High-Speed Railway Bridge

Zhao¹,

Zhou²,

Zhang³

et al. 2020

Applied Sciences

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“…The common temperature-induced damages of slab track include interface debonding of track slab and cement asphalt mortar (CAM) layer [10,11], property deterioration of CA mortar [12,13], defects of wide and narrow joints [14,15], and arching deformation of track slab [16,17]. Among them, slab arching deformation has attracted much attention as the most prominent damage to the slab track [18].…”

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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“…With the increase of the service time of the high-speed rail (HSR) slab track infrastructure, the deterioration of track geometry caused by slab deformation gradually appears [1]. Typical structural defects associated with the slab deformation include inter-layer de-bonding and slab upwarping [2][3][4] (Fig. 1), which can reduce the track serviceability and compromise the operation safety [5].…”

Section: Introductionmentioning

confidence: 99%

Long-Term Monitoring for Track Slab in High-Speed Rail via Vision Sensing

Liu

et al. 2020

IEEE Access

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Track slab deformation has become a challenging issue in high-speed rail (HSR) operation in recent years. This paper proposed a novel approach for track slab deformation monitoring based on computer vision techniques. The basic principle of visual measurement of track slab displacement is first introduced. Then the detailed process of slab displacement calculation from the on-site images is presented, including region of interest (ROI) extraction, determination of the target edge, and displacement calculation. In this process, considering the actual operation environment of in-service HSR lines, an improved Canny algorithm, which can adaptively extract the location information of the target is proposed and employed in the image processing. Based on the modular design method, an online monitoring system for the displacement of the track slab is established. The devised system is installed on an in-service HSR line for long-term slab deformation monitoring. The performance of the proposed system is verified by one-year monitoring data of slab displacement. The measurement results of the proposed system are compared with an existing linear variable differential transformer (LVDT) system, demonstrating that it can accurately report track displacement with lower cost and easier instrumentation. This research is expected to provide insights to the railway maintenance-of-way department for better management and maintenance of slab deformation, especially under high temperature. INDEX TERMS Computer vision; High-speed rail (HSR) slab track; Improved Canny algorithm; Online monitoring.

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Temperature Characteristics Analysis of the Ballastless Track under Continuous Hot Weather

Cited by 32 publications

References 7 publications

Experimental Study of the Temperature Distribution in CRTS-II Ballastless Tracks on a High-Speed Railway Bridge

Experimental Study of the Temperature Distribution in CRTS-II Ballastless Tracks on a High-Speed Railway Bridge

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

Long-Term Monitoring for Track Slab in High-Speed Rail via Vision Sensing

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