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Mechanism of spillage plumes from multiple openings on ceiling temperature distribution in metro tunnel fires based on superposition principle
Tunnelling and Underground Space Technology ( IF 6.7 ) Pub Date : 2025-01-24 , DOI: 10.1016/j.tust.2025.106412
Zhihe Su, Yanfeng Li, Runzhou Luo, Hua Zhong, Junmei Li, Zhihao Geng, Zhicheng Guo

This study revisits the coupling effects of tunnel ceiling temperature distribution caused by plume escapes from metro carriage doors during a fire. The impact of fire heat release rates on the ceiling temperature distribution under various door-opening scenarios was analysed by utilising the superposition principle. The concept of virtual fire sources was proposed to model the ceiling temperature distribution associated with plume outflows from carriage doors. The results indicate that the ceiling temperature distribution in a metro tunnel fire is primarily influenced by virtual fire sources generated by plumes escaping through multiple doors. The maximum ceiling temperature from a single virtual fire source was significantly lower than that of a real fire, and the temperature decay followed a double exponential function. The heat flow ratio for each door remained nearly constant for different fire heat release rates, and variations in heat flow with door positions were analysed. The incorporation of heat loss terms into the theoretical model improved the accuracy and quantification of heat loss coefficients. A predictive model for the ceiling temperature distribution caused by metro carriage fires was developed based on the superposition principle, with the predictions well aligning with the experimental results. This study enhances our understanding of the ceiling temperature distribution in multi-opening structures and guides scenarios involving multiple fire sources within tunnels.

中文翻译:


基于叠加原理的地铁隧道火灾中多个开口溢出羽流对天花板温度分布的影响机制



本研究重新审视了火灾期间地铁车厢门羽流逸出引起的隧道顶部温度分布的耦合效应。利用叠加原理分析了在各种开门情况下,火热释放率对天花板温度分布的影响。提出了虚拟火源的概念,以模拟与车厢门羽流出相关的天花板温度分布。结果表明,地铁隧道火灾中的天花板温度分布主要受通过多个门逸出的烟羽产生的虚拟火源的影响。单个虚拟火源的最高天花板温度明显低于真实火灾的最高温度,并且温度衰减遵循双指数函数。对于不同的火灾热释放速率,每扇门的热流比几乎保持不变,并且分析了热流随门位置的变化。将热损失项纳入理论模型提高了热损失系数的准确性和量化。基于叠加原理,建立了地铁车厢火灾引起的天花板温度分布预测模型,预测结果与实验结果吻合较好。这项研究增强了我们对多开口结构中天花板温度分布的理解,并指导了隧道内涉及多个火源的场景。
更新日期:2025-01-24
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