The maximum ceiling temperature and smoke temperature longitudinal distribution are very important for the evaluation of tunnel fire risk. Aiming at the particularities of sloping tunnel structure, the smoke temperature distribution characteristics under different ventilation conditions were studied through the combination of theoretical analysis, small-scale model experiments and numerical simulations. The impact factors of longitudinal airflow velocity caused by stack effect in a sloped tunnel fire were deeply studied, and the induced airflow velocity prediction model has been established. Based on the ideal fire plume model and hydrodynamic equations, the influence of slope effect on the smoke temperature characteristics was deeply studied, a prediction model for the maximum ceiling temperature rise in a sloped tunnel was derived, and a new modified dimensionless longitudinal airflow velocity of the sloped tunnel was proposed as the criterion for the model. In addition, a theoretical model of smoke spread in sloped tunnel was deduced, the empirical model of temperature longitudinal distribution under different ventilation conditions was further established, and the relevant parameters were fitted. By comparing the predicted results of the modified model with the data from numerical simulation and small-scale experiment, it can be found that the fitting results are better.

最高顶棚温度和烟温纵向分布对于隧道火灾风险的评价非常重要。针对倾斜隧道结构的特殊性，通过理论分析、小模型试验和数值模拟相结合，研究了不同通风条件下烟气温度分布特征。深入研究了倾斜隧道火灾中烟囱效应引起的纵向气流速度的影响因素，建立了诱导气流速度预测模型。基于理想火羽流模型和水动力方程，深入研究了斜坡效应对烟温特性的影响，推导出了斜坡隧道最大顶板温升预测模型，并提出了一种新的修正的倾斜隧道纵向无量纲气流速度作为模型的判据。此外，推导了倾斜隧道烟气蔓延的理论模型，进一步建立了不同通风条件下温度纵向分布的经验模型，并拟合了相关参数。通过将修正模型的预测结果与数值模拟和小规模实验的数据进行比较，可以发现拟合效果更好。进一步建立了不同通风条件下温度纵向分布的经验模型，并拟合了相关参数。通过将修正模型的预测结果与数值模拟和小规模实验的数据进行比较，可以发现拟合效果更好。进一步建立了不同通风条件下温度纵向分布的经验模型，并拟合了相关参数。通过将修正模型的预测结果与数值模拟和小规模实验的数据进行比较，可以发现拟合效果更好。