Issue |
MATEC Web Conf.
Volume 230, 2018
7th International Scientific Conference “Reliability and Durability of Railway Transport Engineering Structures and Buildings” (Transbud-2018)
|
|
---|---|---|
Article Number | 01016 | |
Number of page(s) | 5 | |
Section | Railways, Subways and Industrial Transport | |
DOI | https://doi.org/10.1051/matecconf/201823001016 | |
Published online | 16 November 2018 |
Determination of the level of separate rail failure using the indicator of their reliability
1
Ukrainian State University of Railway Transport, Feierbakh Square 7, 61050, Kharkiv, Ukraine
2
Kharkiv Petro Vasylenko National Technical University of Agriculture, Department of Economics and Marketing, Alchevskikh St., 44, 61002, Kharkov, Ukraine
* Corresponding author: dek_str@ukr.net
During the operation, the upper railway track structure constantly tends to age, which includes the increasing number of failures. This process is controlled by the track maintenance system, which provides for the current maintenance of the track in a certain railway section. As part of the current maintenance of the track, in particular, works are performed to eliminate defective elements of the upper railway track structure, which appeared during functioning of the track structure. The dependence of the operational cargo turnover on the amount of transported cargoes has been analyzed. It is directly related to the issues of organization of maintenance of the railway track structure taking into account the current track operation conditions. Regression analysis of the reported data allowed establishing a mathematical model of the dependence of the value of operational cargo turnover on the value of the transported cargo. The service life of rails (rail bars) in the track section has been established to be related to the indicator separate rail failure during the period of operation of the upper railway track structure by defects. The safety level of rails (rail bars) can be determined based on the value of this indicator.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.