Cargando…
Thermal Analysis and Prediction Methods for Temperature Distribution of Slab Track Using Meteorological Data
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 te...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460450/ https://www.ncbi.nlm.nih.gov/pubmed/36080802 http://dx.doi.org/10.3390/s22176345 |
_version_ | 1784786750626856960 |
---|---|
author | Zhang, Qiangqiang Dai, Gonglian Tang, Yu |
author_facet | Zhang, Qiangqiang Dai, Gonglian Tang, Yu |
author_sort | Zhang, Qiangqiang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9460450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94604502022-09-10 Thermal Analysis and Prediction Methods for Temperature Distribution of Slab Track Using Meteorological Data Zhang, Qiangqiang Dai, Gonglian Tang, Yu Sensors (Basel) Article 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. MDPI 2022-08-23 /pmc/articles/PMC9460450/ /pubmed/36080802 http://dx.doi.org/10.3390/s22176345 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Qiangqiang Dai, Gonglian Tang, Yu Thermal Analysis and Prediction Methods for Temperature Distribution of Slab Track Using Meteorological Data |
title | Thermal Analysis and Prediction Methods for Temperature Distribution of Slab Track Using Meteorological Data |
title_full | Thermal Analysis and Prediction Methods for Temperature Distribution of Slab Track Using Meteorological Data |
title_fullStr | Thermal Analysis and Prediction Methods for Temperature Distribution of Slab Track Using Meteorological Data |
title_full_unstemmed | Thermal Analysis and Prediction Methods for Temperature Distribution of Slab Track Using Meteorological Data |
title_short | Thermal Analysis and Prediction Methods for Temperature Distribution of Slab Track Using Meteorological Data |
title_sort | thermal analysis and prediction methods for temperature distribution of slab track using meteorological data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460450/ https://www.ncbi.nlm.nih.gov/pubmed/36080802 http://dx.doi.org/10.3390/s22176345 |
work_keys_str_mv | AT zhangqiangqiang thermalanalysisandpredictionmethodsfortemperaturedistributionofslabtrackusingmeteorologicaldata AT daigonglian thermalanalysisandpredictionmethodsfortemperaturedistributionofslabtrackusingmeteorologicaldata AT tangyu thermalanalysisandpredictionmethodsfortemperaturedistributionofslabtrackusingmeteorologicaldata |