Stochastic Analysis Model for Vehicle-track Coupled Systems under Joint Random Irregularities of Wheel Treads and Track Irregularities

被引:0
作者
Xu L. [1 ,2 ]
Zhai W. [2 ]
机构
[1] School of Civil Engineering, Central South University, Changsha
[2] State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu
来源
| 1600年 / Science Press卷 / 42期
关键词
Random vibration; Track random irregularities; Vehicle-track coupled dynamics; Wheel tread wear;
D O I
10.3969/j.issn.1001-8360.2020.02.011
中图分类号
学科分类号
摘要
The formation and development of the wheel tread wear and track irregularities are random in nature. Based on the probabilistic feature of wheel wear and Gaussian distribution hypothesis, the wheel profiles can be discretized, to establish a probability inversion mechanism for wheel profile points. Meanwhile, a track irregularity probabilistic model was introduced to achieve the ergodic simulation of track random irregularities under different amplitude and frequency states. By combining the vehicle-track coupled dynamics and probability theory, a vehicle-track stochastic dynamic model in which the wheel profile wear and track random irregularities are jointly used as the excitations was developed. Meanwhile, the issues on probabilistic transmission between exciting loadings and system responses were solved by a class of general probability density evolution equation (PDEM). This model can be used to predict the dynamic responses and assess the dynamical reliability for vehicle-track systems. © 2020, Department of Journal of the China Railway Society. All right reserved.
引用
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页码:79 / 85
页数:6
相关论文
共 22 条
[1]  
Li Z., Zhao X., Dollevoet R., An Approach to Determine a Critical Size for Rolling Contact Fatigue Initiating from Rail Surface Defects, International Journal of Rail Transportation, 5, 1, pp. 16-37, (2017)
[2]  
Zobory I., Prediction of Wheel/Rail Profile Wear, Vehicle System Dynamics, 28, 2, pp. 221-259, (1997)
[3]  
Jendel T., Prediction of Wheel Profile Wear-comparisons with Field Measurements, Wear, 253, pp. 89-99, (2002)
[4]  
Braghina F., Lewis R., Dwyer R.S., Et al., A Mathematical Model to Predict Railway Wheel Profile Evolution Due to Wear, Wear, 261, pp. 1253-1264, (2006)
[5]  
Xu H., Yuan H., Wang L., Et al., Modeling of Metro Wheel Wear and Optimization of the Wheel Re-profiling Strategy Based on Gaussian Processes, Journal of Mechanical Engineering, 46, 24, pp. 88-95, (2010)
[6]  
Tian Y., Daniel W.J.T., Meehan P.A., Real-time Rail-wheel Wear Damage Control, International Journal of Rail Transportation, 4, 2, pp. 113-129, (2016)
[7]  
Yang L., Luo S., Fu M., Study on Optimization of Wheel Profiles of Freight Car with 30t Axle Load Based on Wheel-rail Wear, Journal of the China Railway Society, 36, 8, pp. 12-18, (2014)
[8]  
Han P., Zhang W., Prediction Model and Verification of Wheel Wear in High-speed Trains, Journal of Mechanical Engineering, 32, 2, pp. 144-149, (2016)
[9]  
Xiong X., Wang X., Study on the Distribution of Truck Wheel Tread Wear Rate, Railway Locomotive & Car, 35, 2, pp. 5-9, (2015)
[10]  
Cheng D., Wang C., Liu J., Et al., Application Analysis Comparison of Two Response Surface Methods for the Optimization of the Wheel Tread, China Railway Science, 31, 3, pp. 64-69, (2010)