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

Zheng Yan, Shuxiao Li, Jingmang Xu, Huaizhi Yang, Ji Liu, Jiayin Chen, Ping Wang

2022Vehicle System Dynamics10 citationsDOI

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.

Topics & Concepts

RandomnessProbability density functionStructural engineeringEngineeringMonte Carlo methodSimulationMathematicsStatisticsRailway Engineering and DynamicsMechanical stress and fatigue analysisGear and Bearing Dynamics Analysis