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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 61, 2023 - Issue 10
357
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Research Article

Random analysis of dynamic wheel–rail interactions in the switch panel of a turnout with geometric tolerances based on the probability density evolution method

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Pages 2638-2663 | Received 08 Mar 2022, Accepted 07 Sep 2022, Published online: 06 Oct 2022
 

Abstract

During train operation, the geometric tolerance in a turnout can be very random, posing a challenge for traditional deterministic vehicle-turnout coupling studies and for daily maintenance. In light of the above situation, a coupled vehicle-switch panel model with random geometric tolerances is proposed. These tolerances result from the discrepancy in relative height difference of rail tops between the straight switch rail and the curved stock rail, and from the gap between the straight switch rail and the curved stock rail in the closure part. The model takes rail flexibility into consideration. The probability density evolution method (PDEM) is applied to capture the resultant probability density function (PDF) of dynamic wheel–rail interactions. The Monte Carlo method is employed for verification of results obtained from the PDEM. The results show that stronger randomness of the vertical wheel force is induced compared with that of the lateral wheel force. The probabilistic range of the vertical wheel force is found to be around 50 kN on the straight switch rail side. Given the largest maximum mean value of rail displacement, it is found that the part of the straight switch rail with a top width of 40 mm requires significant attention.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (52122810, 51978586, U1734207, 51778542), the Technology Research and Development Program of China National Railway Group Co., Ltd. (J2021G013, P2021T013), the Technology Research and Development Program of the China Academy of Railway Sciences (2021YJ022) and the Science and Technology Research Project of Beijing-Shanghai High Speed Railway Co., Ltd. (2020-11).

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