4.6 Article

Thermal Analysis and Prediction Methods for Temperature Distribution of Slab Track Using Meteorological Data

期刊

SENSORS
卷 22, 期 17, 页码 -

出版社

MDPI
DOI: 10.3390/s22176345

关键词

scale model test; slab track; thermal analysis; theoretical study; meteorological data

资金

  1. Science and Technology Research and Development Key Program of the China Railway Corporation [2017G006-N]
  2. Fundamental Research Funds for the Central Universities of Central South University [2020zzts151]

向作者/读者索取更多资源

This paper presents an analytical method to determine and decompose the temperature distribution of concrete slab track, and validates the method through experimental tests. The results show that solar radiation plays a significant role in non-linear temperature distribution, while atmospheric temperature has little effect.
The structural temperature distribution, especially temperature difference caused by solar radiation, has a great impact on the deformation and curvature of the concrete slab tracks of high-speed railways. Previous studies mainly focused on the temperature prediction of slab tracks, while how the temperature distribution is affected by environmental conditions has been rarely investigated. Based on the integral transformation method, this work presents an analytical method to determine and decompose the temperature distribution of the concrete slab track. A field temperature test of a half-scaled specimen of concrete slab track was conducted to validate the developed methodology. In the proposed method, we decompose the temperature distribution of the slab track into an initial temperature component and a boundary temperature component. Then, the boundary temperature components caused by solar radiation and atmospheric temperature are investigated, respectively. The results show that the solar radiation plays a significant role in the nonlinear temperature distribution, while the atmospheric temperature has little effect. By contrast, the temperature change in the slab surface resulting from the atmospheric temperature accounts on average for only 5% in the hot weather condition. The proposed method establishes a relation between the structural temperature and meteorological parameters (i.e., the solar radiation and atmospheric temperature). Consequently, the temperature distribution of the concrete slab track is predicted via the meteorological parameters.

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