A dynamic simulation of the wheel–rail impact caused by a wheel flat using a 3-D rolling contact model

Han, L.; Jing, Lin; Li, Kai

doi:10.1007/s40534-017-0131-0

Cited by 20 publications

(7 citation statements)

References 15 publications

(18 reference statements)

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“…According to Han et al (2017), the vertical impact force from a 20-mm wheel flat with a 250 km/h train speed and 17 ton axle load is approximately 2.6 times larger than the average static axle loads. 25 From this finding, the data for the abnormal deflection pattern was numerically generated. Figure 10 shows the probabilistic monitoring models and the deflections patterns with a wheel flat on a specific wheel.…”

Section: Field Application Examplementioning

confidence: 99%

Sensor data-based probabilistic monitoring of time-history deflections of railway bridges induced by high-speed trains

Lee

Jeong

Sim

et al. 2022

Structural Health Monitoring

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Structural condition monitoring of railway bridges has been emphasized for guaranteeing the passenger comfort and safety. Various attempts have been made to monitor structural conditions, but many of them have focused on monitoring dynamic characteristics in frequency domain representation which requires additional data transformation. Occurrence of abnormal structural responses, however, can be intuitively detected by directly monitoring the time-history responses, and it may give information including the time to occur the abnormal responses and the magnitude of the dynamic amplification. Therefore, this study suggests a new Bayesian method for directly monitoring the time-history deflections induced by high-speed trains. To train the monitoring model, the data preprocessing of speed estimation and data synchronization are conducted first for the given training data of the raw time-history deflection; the Bayesian inference is then introduced for the derivation of the probability-based dynamic thresholds for each train type. After constructing the model, the detection of the abnormal deflection data is proceeded. The speed estimation and data synchronization are conducted again for the test data, and the anomaly score and ratio are estimated based on the probabilistic monitoring model. A warning is generated if the anomaly ratio is at an unacceptable level; otherwise, the deflection is considered as a normal condition. A high-speed railway bridge in operation is chosen for the verification of the proposed method, in which a probabilistic monitoring model is constructed from displacement time-histories during train passage. It is shown that the model can specify an anomaly of a train-track-bridge system.

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Section: Field Application Examplementioning

confidence: 99%

Sensor data-based probabilistic monitoring of time-history deflections of railway bridges induced by high-speed trains

Lee

Jeong

Sim

et al. 2022

Structural Health Monitoring

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“…Researchers have developed several twodimensional (2D), 2.5D and three-dimensional (3D) FE models to investigate the effect of irregularities on the vehicle track dynamics. [16][17][18][19][20] Srivastava et al 21 have used the finite element analysis (FEA) method to observe the impact of thermal load over rail under various wheel slip conditions. 21 Srivastava et al 22 have also calculated the contact stress at wheel-rail interface by varying the wheel-rail profile topology through finite element method (FEM).…”

Section: Introductionmentioning

confidence: 99%

Simulation study on the influence of wheel irregularity on the vertical dynamics of wheel–rail interaction for high-speed railway track using bond graph

2022

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Dynamic interaction between train wheel and high-speed slab is an important issue when evaluating the contact force at the wheel–rail interface under the influence of an irregularity either on the train wheel or on the rail. In this paper, an influence of amplitude of irregularity along with the vehicle speed on the dynamics of wheel–rail interaction for high-speed railway tracks is being analyzed. For this purpose, single-wheel high-speed railway (HSR) track interaction models are developed using the bond graph modeling technique. The HSR track model consists of two layers of beam, i.e., rail and concrete slab. Both the rail and slab track is modeled using the Euler–Bernoulli beam theory. The Hertzian contact theory at the wheel–rail interface has been considered for this analysis. The vertical dynamic interaction between a train wheel and a high-speed slab track is compiled in the time domain using a bond graph approach coupled with a technique known as modal superposition. Irregularity present on the wheel is characterized as smooth, moderate, and severe depending upon the variation of irregularity amplitude. An expeditious increase of maximum contact force has been observed between the speed range of 200 and 250 km/h. Beyond the speed of 250 km/h, there is a gradual increment of contact force up to its peak value. When the train speed is beyond 288 km/h, there is a gradual decrease in maximum contact force. This kind of several other useful dynamic responses in terms of wheel acceleration and wheel–rail overlap are also evaluated.

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“…To detect and diagnose wheel defects, the problem has to be fully understood both experimentally and numerically. The most relevant and recent contributions to the wheel flat problem [7][8][9][10][11][12][13][14][15][16][17][18][19] focused on ballasted tracks, and studies on slab track systems are lacking.…”

Section: Introductionmentioning

confidence: 99%

Wheel Flats in the Dynamic Behavior of Ballasted and Slab Railway Tracks

Vale

2021

Applied Sciences

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Wheel flats induce high-impact loads with relevance for the safety of the vehicle in operation as they can contribute to broken axles, hot axle boxes, and damaged rolling bearings and wheels. The high loads also induce damage in the track components such as rails and sleepers. Although this subject has been studied numerically and experimentally over the last few years, the wheel flat problem has focused on ballasted tracks, and there is a need to understand the phenomena also for slab tracks. In this research, a numerical approach was used to show the effects of the wheel flats with different geometric configurations on the dynamic behavior of a classical ballasted track and a continuous slab track. Several wheel flat geometries and different vehicle speeds were considered. The nonlinear Hertzian contact model was used because of the high dynamic variation of the interaction of the load between the vehicle and the rail. The results evidenced that, for the same traffic conditions, the dynamic force was higher on the slab track than on the ballasted one, contrary to the maximum vertical displacement, which was higher on the ballasted track due to the track differences regarding the stiffness and frequency response. The results are useful for railway managers who wish to monitor track deterioration under the regulatory limits.

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A dynamic simulation of the wheel–rail impact caused by a wheel flat using a 3-D rolling contact model

Cited by 20 publications

References 15 publications

Sensor data-based probabilistic monitoring of time-history deflections of railway bridges induced by high-speed trains

Sensor data-based probabilistic monitoring of time-history deflections of railway bridges induced by high-speed trains

Simulation study on the influence of wheel irregularity on the vertical dynamics of wheel–rail interaction for high-speed railway track using bond graph

Wheel Flats in the Dynamic Behavior of Ballasted and Slab Railway Tracks

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