scholarly journals Deep Learning for Track Quality Evaluation of High-Speed Railway Based on Vehicle-Body Vibration Prediction

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 185099-185107 ◽  
Author(s):  
Shuai Ma ◽  
Liang Gao ◽  
Xiubo Liu ◽  
Jing Lin
Author(s):  
Jing Chen ◽  
Anyuan Li ◽  
Chunyan Bao ◽  
Yanhua Dai ◽  
Minghao Liu ◽  
...  

Author(s):  
Jie-Ling Xiao ◽  
Pu Jing ◽  
Si-Xin Yu ◽  
Ping Wang

Polyurethane-reinforced ballasted track (PRBT) can improve the integrity of ballasted track structures and satisfy the high-stability requirements of high-speed railways. In this study, the quality evolution law of PRBT structures after being launched into train service was analyzed, and a reference for structural optimization and maintenance operation was provided. The track geometric state of the PRBT test section of a high-speed railway was measured and monitored for nearly one year after it was launched into operation, and the ballastless track of the adjacent section was selected as a reference. The geometric states of the tracks were evaluated and compared using various parameters, including sliding standard deviation, average standard deviation, and track irregularity spectrum density. Results show that the track quality indexes of the test section, which were in operation for nearly one year, were slightly over the limit. Moreover, the fastener can be finely adjusted for the high-value index sections to further improve the ride comfort. The application effect of PRBT in the subgrade fracture zone was good, which could satisfy the requirements of high-quality transportation as well as the normal operation and maintenance of high-speed railway.


Author(s):  
Shibin Gao ◽  
Gaoqiang Kang ◽  
Long Yu ◽  
Dongkai Zhang ◽  
Xiaoguang Wei ◽  
...  

2020 ◽  
Vol 396 ◽  
pp. 556-568 ◽  
Author(s):  
Ye Han ◽  
Zhigang Liu ◽  
Yang Lyu ◽  
Kai Liu ◽  
Changjiang Li ◽  
...  

Joint Rail ◽  
2004 ◽  
Author(s):  
Kazuhiko Nishimura ◽  
N. C. Perkins ◽  
Weiming Zhang

The design of suspension systems for high speed railway vehicles involves the simultaneous consideration of those requirements as suspension packaging, ride quality, stability, and cost. A design strategy is presented in this paper that enables an optimal design with respect to these competing requirements. The design strategy consists of four steps including the development of a lumped parameter vehicle model, the determination of vehicle parameters, the formulation of a design objective, and the minimization of the objective to optimize key suspension parameters. The design objective captures vehicle requirements including ride quality, suspension packaging, and wheel/rail holding. Power spectral densities (PSDs) are computed for the vertical vehicle body acceleration, suspension travel and dynamic wheel/rail interaction. The design objective function is calculated based on these PSDs and minimized to yield an optimum. An example suspension design is proposed that improves vehicle ride quality and wheel/rail holding without sacrificing other requirements.


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