Quarterly Report of RTRI
Online ISSN : 1880-1765
Print ISSN : 0033-9008
ISSN-L : 0033-9008
PAPERS
Wide-area Rail Temperature Prediction Method Using GIS Data
Fumihiro URAKAWATsutomu WATANABEShigekatsu KIMURA
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RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

2021 Volume 62 Issue 1 Pages 61-66

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Abstract

Track temperature and axial force can vary because of the influence of shadow cast by geographical features near railway lines. However, exactly how these variations affect track buckling has not yet been clarified. In this paper, the rail temperature distribution of the track is calculated in consideration of shadows cast by geographical features using a rail temperature prediction model. Results from these investigations confirmed that this method of analysis could reproduce drops in rail temperature of between 10°C and 15°C, which corresponds to the rail temperature difference actually observed in shaded and sunny areas.

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