Grid-Based Analysis of Causal Factors of Railway Rail Break Risk

Broken rails may interrupt railway service and cause train derailment with severe consequences. The occurrence of broken rails is influenced by many factors and accurate identification of the effects of these factors is necessary for scientific control of the rail break risk. In this study, the authors divided a continuous railway line into several consecutive 200-m-long grids . The factors—including human, equipment, environmental, and management factors—were then precisely quantified for the different grids. Based on the results, a grid-based analysis model of the effects of the causal factors on rail break risk was developed using the Cox’s proportional hazards regression analysis method. The developed model was verified by data on broken rails and their causal factors acquired from Chinese Daqin heavy-haul railway. This research has guiding significance for accurate understanding of the rules of rail break and how the associated risks can be scientifically controlled.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AR060 Standing Committee on Railway Maintenance.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • An, Ru
  • Sun, Quanxin
  • Bai, Wenfei
  • Liu, Rengkui
  • Wang, Futian
• Conference:
  • Transportation Research Board 96th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2017-1-8 to 2017-1-12
• Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 17p
• Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Cartographic grids; Derailments; Environmental impacts; Equipment; Hazard analysis; Human factors; Management; Railroad rails
• Identifier Terms: Daqin Railway Company Limited
• Subject Areas: Maintenance and Preservation; Railroads;

Filing Info

• Accession Number: 01632154
• Record Type: Publication
• Report/Paper Numbers: 17-02268
• Files: TRIS, TRB, ATRI
• Created Date: Apr 5 2017 9:57AM