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基于气象数据的板式轨道温度分布热分析与预测方法

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

作者信息

Zhang Qiangqiang, Dai Gonglian, Tang Yu

机构信息

School of Civil Engineering, Central South University, Changsha 410083, China.

School of Resources and Safety Engineering, Central South University, Changsha 410083, China.

出版信息

Sensors (Basel). 2022 Aug 23;22(17):6345. doi: 10.3390/s22176345.

DOI:10.3390/s22176345
PMID:36080802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9460450/
Abstract

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.

摘要

结构温度分布,尤其是太阳辐射引起的温差,对高速铁路混凝土板式轨道的变形和曲率有很大影响。以往的研究主要集中在板式轨道的温度预测上,而温度分布如何受环境条件影响则鲜有研究。基于积分变换法,本文提出一种确定和分解混凝土板式轨道温度分布的解析方法。对混凝土板式轨道半比例试件进行了现场温度测试,以验证所提出的方法。在所提出的方法中,将板式轨道的温度分布分解为初始温度分量和边界温度分量。然后,分别研究了太阳辐射和大气温度引起的边界温度分量。结果表明,太阳辐射在非线性温度分布中起重要作用,而大气温度影响较小。相比之下,在炎热天气条件下,大气温度引起的板表面温度变化平均仅占5%。所提出的方法建立了结构温度与气象参数(即太阳辐射和大气温度)之间的关系。因此,通过气象参数预测混凝土板式轨道的温度分布。

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