REVIEW ARTICLE


A Method of Determining Rail Grinding Parameters Based On Life-Cycle Cost



Wang Jianxi1, 2, *, Chen Siyi3, Gui Jirong1
1 School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang, Hebei Province, 050043, P.R. China
2 Key Laboratory of Road and Railway Engineering Safety Control of Ministry of Education, Hebei Province ,050043, P.R. China
3 School of Transportation Engineering, Shijiazhuang Tiedao University, Shijiazhuang, Hebei Province, 050043, P.R. China


© 2014 Wang et al

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at Shijiazhuang Tiedao University, Shijiazhuang,Hebei,050043, P.R. China; Tel: +86 15930170825; E-mail: qianxi-2008@163.com


Abstract

The factors affecting the economy efficiency of rail grinding and their interrelation are researched. Based on the management theory of life-cycle cost, the model of analyzing rail grinding parameters is established, the calculation method is determined, and minimizing the rail life-cycle cost is regarded as optimization objective for the optimal analysis of grinding factor. The results prove that with certain parameters (grinding interval and mental removal), the total present value of rail cost tends to decrease firstly and then increase with the increase of rail service life. With the increase of the grinding interval, the total present value of rail cost also tends to decrease firstly and then increase, and there is an extreme point in the variation tendency. In the economic cost of rail service life, rail replacement and waste of railway taking-up cost are two of the biggest parts. Therefore, reasonable rail maintenance strategy plays a significant role in reducing life-cycle cost.

Keywords: Railway Engineering, Rail, Rail Grinding, Life-Cycle Cost, Grinding Factor, Optimization.