Effect of wheel flat on dynamic wheel-rail impact in railway turnouts

Xu, Jingmang; Ma, Qiantao; Zhao, Siqi; Chen, Jiayin; Qian, Yao; Chen, Rong; Wang, Ping

doi:10.1080/00423114.2021.1876888

Cited by 22 publications

(4 citation statements)

References 16 publications

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“…In References, 13,14 a rigid-flexible vehicle-turnout coupled dynamic model considering the flexible deformation of rails and wheelsets was established, in order to analyse the dynamic wheel-rail interaction in the wheel load transition zone, revealing the modal resonance properties of the axle box and wheelset in the turnout area. On that basis, Xu J M 15 refined the vehicle-turnout coupled model, establishing different sizes of wheel flat models and analysing the impact of a variety of factors, including flat size and phase, on the dynamic characteristics of the vehicle crossing. Yan Z 16 proposed a vehicle-switch coupled model that considered random geometric tolerances, then used the probability density evolution method to process wheel-rail force data; results were verified using the Monte Carlo method.…”

Section: Introductionmentioning

confidence: 99%

Impact of debonding between layers of ballastless turnouts on the vibration characteristics of the wheel-rail system

Li,

Yan

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part F:

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The mortar layer of the slab ballastless turnout is the weakest connecting part compared to the rest of the structure, meaning debonding between the turnout slab and the mortar layer is prone to occur under the dynamic load of a train. In order to study the impact of debonding on the vibration response of the wheel-rail system in the turnout area, a rigid-flexible vehicle-turnout coupled dynamic model that takes debonding into account was established based on the theory of vehicle-track coupled dynamics; the flexible deformation of the multi-rail and turnout slab was also included in the model. The impact of debonding on the wheel load transition and the vibration acceleration of the turnout structure and axle box were then analysed. The results show that: There are significant differences in the impact of different types of debonding on the vibration response of the vehicle-track coupled system. When the debonding height is less than the voiding limit, the impact of the debonding height is significant, while the vibration acceleration of the vehicle-turnout system remains basically unchanged once debonding height reaches the void limit.

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Section: Introductionmentioning

confidence: 99%

Impact of debonding between layers of ballastless turnouts on the vibration characteristics of the wheel-rail system

Li,

Yan

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part F:

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“…Wheel flats are the most common local surface defect of railway wheels and are one of the important causes of train derailment [4]. Huge impact forces will be generated by the contact between flat wheels and rails, which will cause further damage to vehicles and rail components (wheel sets, bearings, rail ties, and so on) [5][6][7][8][9][10][11][12]. The excessive wheel-rail contact forces will increase the risk of train accidents and maintenance costs.…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Wayside Railway Wheel Flat Detection Techniques: A Review

Feng

et al. 2023

Sensors

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Wheel flats are amongst the most common local surface defect in railway wheels, which can result in repetitive high wheel–rail contact forces and thus lead to rapid deterioration and possible failure of wheels and rails if not detected at an early stage. The timely and accurate detection of wheel flats is of great significance to ensure the safety of train operation and reduce maintenance costs. In recent years, with the increase of train speed and load capacity, wheel flat detection is facing greater challenges. This paper focuses on the review of wheel flat detection techniques and flat signal processing methods based on wayside deployment in recent years. Commonly used wheel flat detection methods, including sound-based methods, image-based methods, and stress-based methods are introduced and summarized. The advantages and disadvantages of these methods are discussed and concluded. In addition, the flat signal processing methods corresponding to different wheel flat detection techniques are also summarized and discussed. According to the review, we believe that the development direction of the wheel flat detection system is gradually moving towards device simplification, multi-sensor fusion, high algorithm accuracy, and operational intelligence. With continuous development of machine learning algorithms and constant perfection of railway databases, wheel flat detection based on machine learning algorithms will be the development trend in the future.

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“…Bian et al 8 studied the dynamic wheel/rail impact forces caused by WFs by developing a three-dimensional finite element model in ANSYS, and the results showed that the presence of WFs significantly increases the dynamic impact forces on both rails and sleepers. Xu et al 10 discussed the effect of WFs on dynamic wheel-rail impact in railway turnouts, and the results showed that the wheel with a WF crossing the frog area excites greater vertical wheel/rail forces and axle box accelerations (ABAs). In addition, WFs can also increase rolling noise levels 11,12 and result in major discomfort to passengers.…”

Section: Introductionmentioning

confidence: 99%

Wheel flat detection on railway vehicles using the angular domain synchronous averaging method: an experimental study

Zhou

Tian

Hecht

2023

Structural Health Monitoring

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Recently, composite brake blocks have been widely adopted in European railway systems to replace cast iron brake blocks in order to reduce braking noise. However, the poor heat dissipation of composite materials has caused more wheel tread damage, including wheel flats (WFs). The WF, as an undesirable tread defect in railway vehicles, can cause severe wheel/rail impact and increase the damage probability of wheelset components and track structures. Early detection of WFs is vital to ensure operational safety and reduced maintenance costs. In this work, to help understand the dynamic impact caused by WFs, a single WF with a length of 20 mm is artifically produced on a wheel of a tank wagon, and field experiments are performed. The influence of the WF on the axle box accelerations (ABAs), vertical accelerations of the bogie frame and vertical accelerations of the car body is discussed in the time and time-frequency domains. On the other hand, the angular domain synchronous averaging (ADSA) method is used to detect WFs by averaging the ABA signals in the angular domain over a fixed time interval, and it requires ABA data and the axle rotational speed as inputs. This method can greatly reduce the amount of measured data by averaging it in the angle domain and can eliminate the short-time influence of interference signals caused by switches and crossings, rail joints, and so on. The results show that the ADSA of a defective wheel with the WF has a clear peak with an amplitude of 21–104 m/s2 while that of a healthy wheel fluctuates around zero in the polar coordinate. Also, the waveform of defective signals can be well presented in polar coordinates. The effectiveness of this method is compared with the envelope spectrum technology in three scenarios and its application to three journeys is presented.

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Effect of wheel flat on dynamic wheel-rail impact in railway turnouts

Cited by 22 publications

References 16 publications

Impact of debonding between layers of ballastless turnouts on the vibration characteristics of the wheel-rail system

Impact of debonding between layers of ballastless turnouts on the vibration characteristics of the wheel-rail system

Recent Advances in Wayside Railway Wheel Flat Detection Techniques: A Review

Wheel flat detection on railway vehicles using the angular domain synchronous averaging method: an experimental study

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