scholarly journals Modeling, Simulation, and Results of Their Use in Railway Vehicle Dynamics Studies

10.5772/62105 ◽  
2015 ◽  
Author(s):  
Krzysztof Zboinski
Keyword(s):  
Vehicle Dynamics ◽  
Railway Vehicle ◽  
Modeling Simulation

Control and monitoring for railway vehicle dynamics

2007 ◽  
Vol 45 (7-8) ◽  
pp. 743-779 ◽  
Author(s):  
Stefano Bruni ◽  
Roger Goodall ◽  
T. X. Mei ◽  
Hitoshi Tsunashima
Keyword(s):  
Vehicle Dynamics ◽  
Railway Vehicle

Railway vehicle dynamics

1986 ◽  
Vol 17 (4) ◽  
pp. 181-186 ◽  
Author(s):  
B V Brickle
Keyword(s):  
Vehicle Dynamics ◽  
Railway Vehicle

scholarly journals Application and Comparison of Uncertainty Quantification Methods for Railway Vehicle Dynamics with Random Mechanical Parameters

Mechanika ◽  
2019 ◽  
Vol 25 (6) ◽  
pp. 455-462
Author(s):  
Dawei Zhang ◽  
Peijuan Xu ◽  
Daniele Bigoni
Keyword(s):  
Uncertainty Quantification ◽  
Vehicle Dynamics ◽  
Deterministic Model ◽  
Coupled Model ◽  
Latin Hypercube Sampling ◽  
Collocation Methods ◽  
Impact Behavior ◽  
Railway Vehicle ◽  
Parametric Uncertainties ◽  
The Impact

This paper aims to investigate uncertainties in railway vehicle suspension components and the implement of uncertainty quantification methods in railway vehicle dynamics. The sampling-based method represented by Latin Hypercube Sampling (LHS) and generalized polynomial chaos approaches including the stochastic Galerkin and Collocation methods (SGM and SCM) are employed to analyze the propagation of uncertainties from the parameters input in a vehicle-track mathematical model to the results of running dynamics. In order to illustrate the performance qualities of SGM, SCM and LHS, a stochastic wheel model with uncertainties of the stiffness and damping is firstly formulated to study the vertical displacement of wheel. Numerical results show that SCM, which can be easily implemented by means of the existing deterministic model, has explicit advantages over SGM and LHS in terms of the efficiency and accuracy. Furthermore, a simplified stochastic bogie model with three random suspension parameters is also established by means of SCM and LHS to analyze the critical speed, which is affected obviously by the parametric uncertainties. Finally, a stochastic vertical vehicle-track coupled model with parametric uncertainties is built comprehensively on the basis of SCM, by which the impact behavior of wheel-rail interaction under a rail defect is investigated and the dynamic response of vehicles under the track irregularity is explored in terms of the Sperling index. It concludes that the uncertainties of parameters have a significant influence on P2 force and Sperling index from the view of the running quality.

Wheel-rail wear simulation and rail cant optimisation based on railway vehicle dynamics

2021 ◽  
Vol 7 (1/2) ◽  
pp. 4
Author(s):  
Wei Li ◽  
Pu Wang ◽  
Shuguo Wang ◽  
Daolin Si ◽  
Dongsheng Yang
Keyword(s):  
Vehicle Dynamics ◽  
Railway Vehicle ◽  
Wear Simulation ◽  
Rail Wear

Numerical Procedure for Non-Hertzian Wheel-Rail Contact Model Integrated in Quasi-Steady Railway Vehicle Motion Solver

2020 ◽  
Author(s):  
Takayuki Tanaka ◽  
Hiroyuki Sugiyama
Keyword(s):  
Vehicle Dynamics ◽  
Numerical Procedure ◽  
Contact Model ◽  
Hertzian Contact ◽  
Railway Vehicle ◽  
Long Distance ◽  
Elliptical Contact ◽  
Vehicle Motion ◽  
Contact Shape ◽  
Dynamics Simulations

Abstract Although the Hertzian contact theory is widely utilized in railway vehicle simulations with new wheel and rail profiles, the Hertzian contact assumptions would lead to inaccurate contact prediction for severely worn wheel and rail profiles due to their geometric conformity, causing non-elliptical contact shapes as well as pressure distribution. For this reason, various non-Hertzian contact models have been studied for use in vehicle dynamics simulations. Among others, a method proposed by Piotrowski and Kik has gained acceptance in predicting non-elliptical wheel-rail contact for vehicle dynamics simulations. Despite the elegant formulation and its accuracy, detailed online geometric calculation for non-elliptical contact shape is required for all the contact patches at every iteration, along with iterative evaluation of the force-deflection relationship. It leads to computation burdens for use in long-distance vehicle simulations. Therefore, in this study, an off-line based numerical procedure for non-Hertzian contact model is developed and integrated in the quasi-steady railway vehicle motion solver.

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