Prediction of a representative point for rail temperature measurement by considering longitudinal deformation

Monitoring rail temperature is very important for determining the safe running speed of trains and to prevent buckling. In general, the maximum variation of the internal rail temperature can be >7 ℃ depending on the point of measurement. However, there is as yet no sufficient information about how to predict the measurement point to represent the thermal deformation due to temperature distribution. In this study, the authors report a new point, called the representative measurement point, at which the rail temperature can be measured. This point considers the average deformation of the rail through structural analysis by adopting experimental and actual rail temperature data. The authors designed and installed a measurement system similar to an actual rail environment. Using the system, various data were acquired (internal/surface rail temperature and weather data) for 10 months. On the basis of these data, an analysis was done to calculate the average deformation point through thermal analysis. Finally, the representative measurement point was proposed as the position at which the average deformation point converges regardless of weather or seasons. The authors believe that the method described herein is advantageous in that it could be used in a high-accuracy temperature-monitoring system and for predicting thermal deformation and buckling.

• Record URL:
  • https://doi.org/10.1177/0954409718822866
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09544097
• Supplemental Notes:
  • © IMechE 2019.
• Authors:
  • Hong, SungUk
  • 0000-0002-2115-0126
  • Jung, Hyunsuk
  • Park, Chan
  • Lee, Hyunwoo
  • Kim, HyongUk
  • Lim, NamHyoung
  • Bae, HyunUng
  • Kim, KyungHo
  • Kim, HongJip
  • Cho, Seong J
  • 0000-0002-3528-2808
• Publication Date: 2019-11

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1003-1011
• Serial:
  • Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
  • Volume: 233
  • Issue Number: 10
  • Publisher: Sage Publications Limited
  • ISSN: 0954-4097
  • EISSN: 2041-3017
  • Serial URL: http://pif.sagepub.com/content/current

Subject/Index Terms

• TRT Terms: Buckling; Deformation; Mathematical prediction; Monitoring; Railroad rails; Structural analysis; Temperature; Temperature measurement; Thermal analysis
• Subject Areas: Railroads; Vehicles and Equipment;

Filing Info

• Accession Number: 01717415
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 19 2019 3:07PM