A method for predicting the ambient temperature distribution of high-temperature tunnels and influencing factors analyze
In high-temperature tunnels, it is difficult to predict the temperature distribution, and the effectiveness of comprehensive cooling measures is not yet clear. This study proposed a highly accurate tunnel environmental temperature prediction model using FDM and FEM and considering the heat transferr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-01-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X23011371 |
| _version_ | 1797356862521212928 |
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| author | Xiaohan Zhou Xin Chen Yan Wang Ninghui Liang Xingrong Liu |
| author_facet | Xiaohan Zhou Xin Chen Yan Wang Ninghui Liang Xingrong Liu |
| author_sort | Xiaohan Zhou |
| collection | DOAJ |
| description | In high-temperature tunnels, it is difficult to predict the temperature distribution, and the effectiveness of comprehensive cooling measures is not yet clear. This study proposed a highly accurate tunnel environmental temperature prediction model using FDM and FEM and considering the heat transferred from rock, construction machinery, and personnel. The effects of air volume, air temperature, and insulating layer on tunnel ambient temperature were investigated. The following are the key findings: (1) The distribution of the environment temperature and the lining surface temperature of the two tunnels align with the ground temperature distribution. (2) The prediction model using FDM + FNM closely matches the actual monitoring data, with a maximum absolute error of only 2.52 °C. (3) Increasing air volume or decreasing the temperature of the wind can reduce the temperature of the environment, which has no effect on the temperature distribution of tunnels. (4) The thermal insulating layer impedes ground temperature heat transfer and alters the ambient temperature distribution. The distribution of ambient temperature tends to align as the thickness of the thermal insulating layer grows, while cooling efficiency drops when the thickness is greater than 6 cm. |
| first_indexed | 2024-03-08T14:36:00Z |
| format | Article |
| id | doaj.art-2e707a59dba9468d9f9436a12a4053b8 |
| institution | Directory Open Access Journal |
| issn | 2214-157X |
| language | English |
| last_indexed | 2024-03-08T14:36:00Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj.art-2e707a59dba9468d9f9436a12a4053b82024-01-12T04:56:36ZengElsevierCase Studies in Thermal Engineering2214-157X2024-01-0153103831A method for predicting the ambient temperature distribution of high-temperature tunnels and influencing factors analyzeXiaohan Zhou0Xin Chen1Yan Wang2Ninghui Liang3Xingrong Liu4School of Civil Engineering, Chongqing University, Chongqing, 400045, China; National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas, Chongqing University, Chongqing, 400045, ChinaSchool of Civil Engineering, Chongqing University, Chongqing, 400045, ChinaSchool of Civil Engineering, Chongqing University, Chongqing, 400045, China; Corresponding author.School of Civil Engineering, Chongqing University, Chongqing, 400045, China; National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas, Chongqing University, Chongqing, 400045, China; Corresponding author. School of Civil Engineering, Chongqing University, Chongqing 400045, China.School of Civil Engineering, Chongqing University, Chongqing, 400045, China; National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas, Chongqing University, Chongqing, 400045, ChinaIn high-temperature tunnels, it is difficult to predict the temperature distribution, and the effectiveness of comprehensive cooling measures is not yet clear. This study proposed a highly accurate tunnel environmental temperature prediction model using FDM and FEM and considering the heat transferred from rock, construction machinery, and personnel. The effects of air volume, air temperature, and insulating layer on tunnel ambient temperature were investigated. The following are the key findings: (1) The distribution of the environment temperature and the lining surface temperature of the two tunnels align with the ground temperature distribution. (2) The prediction model using FDM + FNM closely matches the actual monitoring data, with a maximum absolute error of only 2.52 °C. (3) Increasing air volume or decreasing the temperature of the wind can reduce the temperature of the environment, which has no effect on the temperature distribution of tunnels. (4) The thermal insulating layer impedes ground temperature heat transfer and alters the ambient temperature distribution. The distribution of ambient temperature tends to align as the thickness of the thermal insulating layer grows, while cooling efficiency drops when the thickness is greater than 6 cm.http://www.sciencedirect.com/science/article/pii/S2214157X23011371High temperature tunnelsA prediction modelAmbient temperature distributionVentilation parametersThermal isolating layer |
| spellingShingle | Xiaohan Zhou Xin Chen Yan Wang Ninghui Liang Xingrong Liu A method for predicting the ambient temperature distribution of high-temperature tunnels and influencing factors analyze Case Studies in Thermal Engineering High temperature tunnels A prediction model Ambient temperature distribution Ventilation parameters Thermal isolating layer |
| title | A method for predicting the ambient temperature distribution of high-temperature tunnels and influencing factors analyze |
| title_full | A method for predicting the ambient temperature distribution of high-temperature tunnels and influencing factors analyze |
| title_fullStr | A method for predicting the ambient temperature distribution of high-temperature tunnels and influencing factors analyze |
| title_full_unstemmed | A method for predicting the ambient temperature distribution of high-temperature tunnels and influencing factors analyze |
| title_short | A method for predicting the ambient temperature distribution of high-temperature tunnels and influencing factors analyze |
| title_sort | method for predicting the ambient temperature distribution of high temperature tunnels and influencing factors analyze |
| topic | High temperature tunnels A prediction model Ambient temperature distribution Ventilation parameters Thermal isolating layer |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X23011371 |
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