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Probabilistic assessment of railway vehicle-curved track systems considering track random irregularities
Authors:Lei Xu
Institution:1. Train and Track Research Institute, State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, People’s Republic of China;2. Section of Railway Engineering, Delft University of Technology, Delft, Netherlands
Abstract:The randomness of track irregularities directly leads to the random vibration of the vehicle–track systems. To assess the dynamic performance of a railway system in more comprehensive and practical ways, a framework for probabilistic assessment of vehicle-curved track systems is developed by effectively integrating a vehicle–track coupled model (VTCM), a track irregularity probabilistic model (TIPM) with a probability density evolution method (PDEM). In VTCM, the railway vehicle and the curved track are coupled by the nonlinear wheel–rail interaction forces, and through TIPM, the ergodic properties of random track irregularities on amplitudes, wavelengths and probabilities can be properly considered in the dynamic calculations. Lastly, PDEM, a newly developed method for solving probabilistic transmissions between stochastic excitations and deterministic dynamic responses, is introduced to this probabilistic assessment model. Numerical examples validate the correctness and practicability of the proposed models. In this paper, the results of probabilistic assessment are presented to illustrate the dynamic behaviours of a high-speed railway vehicle subject to curved tracks with various radii, and to demonstrate the importance of considering the actual status of wheel–rail contacts and curve negotiation effects in vehicle-curved track interactions.
Keywords:Vehicle–track interactions  curved track  track irregularity probabilistic model  probability density evolution method  reliability analysis
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