Influence of Track Gauge Variation on Rail Vehicle Dynamics. An Examination Based on Comparison between Data from Test Train Running on Track with Irregularity Artificially Set and Numerical Simulation.

裕, 藤本; 克也, 谷藤; 昌幸, 宮本

doi:10.1299/kikaic.64.1528

Cited by 6 publications

(6 citation statements)

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“…Vertical and lateral track alignments have been estimated from left and right vertical and lateral body accelerations above a bogie using an inverse dynamic model in reference [13]. The effect of gauge on the dynamic response of a Shinkansen vehicle has been examined in reference [14], in which it is found that the lateral track irregularity combined with a slightly loose gauge decreased the lateral acceleration of the vehicle body, attributed to the more gentle steering applied to the bogie in response to lateral irregularity. A tight gauge was observed to generate increased flange contact in response to lateral irregularity, resulting in higher lateral accelerations.…”

Section: Track Specification and Measurementmentioning

confidence: 99%

Monitoring lateral track irregularity from in-service railway vehicles

Weston

Ling

Goodman

et al. 2007

Proceedings of the Institution of Mechanical Engineers, Part F:

130

101

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Maintaining the alignment of railway track is vitally important for the smooth and safe passage of railway vehicles. Poor track alignment can result in poor ride quality, flange contact, or even flange climb. Accurate horizontal track geometry can be measured using a dedicated track recording vehicle or from a full track geometry recording system mounted on an in-service vehicle. This paper describes the use of sensors mounted on the bogie of an in-service vehicle to estimate the mean track alignment without the use of optical or contact sensors. In principle, either bogie lateral acceleration or yaw rate can be processed to give an estimate of mean lateral track irregularity, but a yaw rate gyro provides consistent estimates down to lower vehicle speeds than does an accelerometer and does not require compensation for the effects of bogie roll. An improved estimate can be obtained by inverting the dynamic relationship between the mean track alignment and the bogie yaw motion. This is demonstrated with results from a Class 175 vehicle. Continually monitoring the lateral response of a bogie on an in-service vehicle, using only a yaw rate gyro, can provide data enabling the prioritization of maintenance operations.

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Section: Track Specification and Measurementmentioning

confidence: 99%

Monitoring lateral track irregularity from in-service railway vehicles

Weston

Ling

Goodman

et al. 2007

Proceedings of the Institution of Mechanical Engineers, Part F:

130

101

View full text Add to dashboard Cite

show abstract

“…Based on the dynamic response of the components of vehicles, the track geometry is calculated by some filtering algorithms in the time-frequency domain. [6][7][8][9][10][11][12][13][14] Due to the heavy weight and high running speeds of TGC, severe vibrations and wheel-rail interaction impacts will occur during its operation, resulting in the changes of original track geometry (static geometry), i.e. dynamic track geometry.…”

Section: Introductionmentioning

confidence: 99%

Vertical track irregularity analysis of high-speed railways on simply-supported beam bridges based on the virtual track inspection method

Gao

Cong

Wang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part F:

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Understanding the relationship between the static and dynamic track geometry irregularities is crucial for the proper maintenance of rail infrastructures and the reduction of on-site workload. This paper focuses on the analysis of the dynamic and static track irregularities on simply-supported beam bridges for high-speed railways. Based on the simulation of three-dimensional vehicle–track–bridge dynamics, a virtual track inspection method is proposed according to the measurement principle with the inertial reference. With the static irregularity provided as the initial input to the simulation model, the virtual track inspection of dynamic track irregularities is carried out considering different supporting structures, i.e. subgrade and bridges. Furthermore, the characteristics and advantages of the proposed model are investigated in the “rigid track structure”. Then, using the virtual track inspection method, this paper analyzes the relationship between the dynamic and static track irregularities (in the vertical direction) on the simply-supported beam bridge in both the time and frequency domains with respect to different train speeds, and the simulation results are validated by real-world measurements. Numerical results show that the stiffness irregularity in the vertical direction is periodical, with the cycle length equal to the span of the bridge. Furthermore, there is an obvious linear relationship between the dynamic and static irregularities. Also, the regression coefficient increases with increasing vehicle speed.

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“…Czop et al [14] presented an approach for the detection of track irregularities based on the measurements of bearing box acceleration during the operation of vehicles. Fujimoto et al [15] studied the carbody vibration of a Shinkansen train excited by the track alignment irregularities through the comparison between measurements and numerical simulation. Gullers et al [16] selected ten stretches of a Swedish track to inspect rail irregularities and confirmed the correlation between corrugation and wheel/ rail dynamic force.…”

Section: Introductionmentioning

confidence: 99%

Effect of Long‐Wavelength Track Irregularities on Vehicle Dynamic Responses

Xin

Wang

Ding

2019

Shock and Vibration

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Long-wavelength track irregularities have obvious influence on ride comfort and running stability of high-speed trains. Meanwhile, it brings risk to the inspection of track irregularities since ordinary inspection equipment has difficulties in covering long wavelengths. Previous research on the effect of long-wavelength track irregularities is rare. In order to find the relationship between long-wavelength irregularities and vehicle dynamic responses, a numerical vehicle-track coupling dynamic model based on multibody dynamics and finite element theories is established by using a self-compiling program. One case study is given as an example to show the methodology of determining the sensitive long wavelength and management amplitude of track longitudinal-level irregularities in high-speed railway. The simulation results show that the sensitive long wavelength has a strong correlation with train speed and natural frequency. The simulation and field test results are in good agreement.

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Influence of Track Gauge Variation on Rail Vehicle Dynamics. An Examination Based on Comparison between Data from Test Train Running on Track with Irregularity Artificially Set and Numerical Simulation.

Cited by 6 publications

References 0 publications

Monitoring lateral track irregularity from in-service railway vehicles

Monitoring lateral track irregularity from in-service railway vehicles

Vertical track irregularity analysis of high-speed railways on simply-supported beam bridges based on the virtual track inspection method

Effect of Long‐Wavelength Track Irregularities on Vehicle Dynamic Responses

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