A method for predicting the ambient temperature distribution of high-temperature tunnels and influencing factors analyze

Abstract

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.

Keywords

• High temperature tunnels
• A prediction model
• Ambient temperature distribution
• Ventilation parameters
• Thermal isolating layer