The track quality index method (TQI method) is widely used in the quality evaluation of track fine adjustment, while the process performance index method is a new method to evaluate the quality of track fine adjustment based on a process performance index. In this paper, the quality of the same section of track was evaluated separately with the two methods, and the similarities and differences as well as the advantages and disadvantages of the two methods are compared. The conclusions are: in the evaluation results of the general and individual statistical index of the quality of track fine adjustment, the results obtained by the two methods are basically consistent, but the new method is more clear and comprehensive; in the efficiency of track fine adjustment, the new method is more targeted than the TQI method; in terms of the convenience of analysis, the TQI method is more convenient. Comprehensively, the process performance index method is better than the TQI method.
With the rapid development of the high-speed railway in China, a great challenge is brought to high-speed railway management departments in view of the high traffic density, short skylight, high demand of track quality, and difficulties in ballastless track maintenance. In order to ensure the safe and smooth running of the high-speed railway system with limited maintenance resources, it is necessary to conduct reasonable assessments and management of the quality of the track. The objective of this study is to propose a comprehensive method to evaluate the track quality considering track geometry condition and track structure condition. Track Quality Level Index (TQLI) is proposed to indicate the track quality with a corresponding calculation formula. A detailed introduction of the classification standard of track quality level is also discussed. This study uses the method of centesimal grade and analytic hierarchy process for nondimensionalization and weight coefficient determination, analyses the sensitivity of the weights with perturbation method, and then modifies the parameter weights according to the results of the sensitivity analysis. Finally, practical effects of the track quality level management system are examined with a case study of the Shanghai-Nanjing intercity high-speed railway in China.
Because of the discreteness of ballasted track structure, the randomness of train loads and the periodicity of maintenance, the geometric irregularity tends to be stochastic. The foundation of track management is to select a reasonable probability distribution function and use its characteristics to establish a geometric irregularity prediction model. Nowadays, the improvement in maintenance technologies considerably reduces the overrun of irregularity; however, large values of irregularity that does not overrun lead to a poor fitting effect of twoparameter probability distribution. This study used five kinds of three-parameter probability distribution functions to fit samples from six segments, calculated and compared their P values, selected the best probabilistic distribution function to describe the spatial characteristics of longitudinal irregularity in each segment, and analysed the differences in track quality between segments. The results showed that the three-parameter probability distribution functions fitted effectively to show the characteristics of unilateral thick tail of longitudinal irregularity in ballasted track. The distribution of the longitudinal irregularity in the whole line could not be fitted by a single function.
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