Dynamic Response of Train-Track Coupling System Under Random Irregularities
|School||Dalian University of Technology|
|Course||Control Theory and Control Engineering|
|Keywords||Train-Track interaction Numerical Integration Methods High-SpeedRailway Vibration analysis|
The rapid development of high-speed railway in China is clear to all. While the development of security system for the high-speed rail lags behind. It’s vital to guarantee the railway transportation safety for such a large scale of China’s high-speed railway construction by the help of a high-speed railway safety monitoring system, or a set of automated emergency facility.High-speed railway safety monitoring system, failure prediction&diagnosis system, and automatic maintenance system all require a strong theoretical basis as support. As the complex of the railway system experimental platform, and large funding to catch up with variety models of trains and tracks, the train-track coupling vibration system becomes the primary method to analyze the dynamic response. The model is used to stimulate the train-track interaction under different circumstances. A complete and accurate train-track coupling system is in urgent need to be established.In accordance with actual structure of high-speed railway system, the precise Hamilton kinetic model of CRH3train and CRTSII slab track were established with the real parameters. The numerical integration algorithm of the dynamic analysis is also improved to obtain a more precise output by less recourse. Meanwhile, as the precise positioning of the wheel-rail contact point is ignored in conventional modeling, it’s introduced into this model. Track attenuation vibration is also introduced into the train-track coupling model to force the simulation results approaching to the actual value. Track spectral function is used as input stimulus to simulate the track irregularity, which makes it more intuitive to study the response of the train-track coupling system dynamics response under random track irregularity conditions.