Smoke Flow Temperature beneath the Ceiling in an Atrium-style Subway Station with Different Fire Source Locations

Abstract This paper is to investigate the smoke flow temperature beneath the ceiling in an atrium-style subway station. Numerical simulations were carried out in a full-scale model to study the temperature profile beneath the ceiling by considering different fire source locations. Results show that the maximum smoke temperature beneath the ceiling can be predicted using the three models developed by Alpert, Heskestad and McCaffrey. The choice of the most suitable model depends on the fire source location. For the longitudinal temperature distribution along the ceiling, if the disturbance region is far away from the fire source, the temperature profile can be well correlated by the Li’s model. However, if the disturbance region is close to the fire source, the models proposed by Li and He should be used together. The temperature profile beneath the ceiling in this kind of subway station with different fire source locations can be obtained by the combination of these models.

[1]  Jie Ji,et al.  A simplified calculation method on maximum smoke temperature under the ceiling in subway station fires , 2011 .

[2]  Haukur Ingason,et al.  Model scale tunnel fire tests with longitudinal ventilation , 2010 .

[3]  Wei Zhong,et al.  Experimental Study on the Influence of Different Transverse Fire Locations on the Critical Longitudinal Ventilation Velocity in Tunnel Fires , 2015, Fire Technology.

[4]  B. Mccaffrey Purely buoyant diffusion flames :: some experimental results , 1979 .

[5]  Shuai Liu,et al.  Optimization of emergency ventilation mode for a train on fire stopping beside platform of a metro station , 2014 .

[6]  Chuangang Fan,et al.  Experimental study on transverse smoke temperature distribution in road tunnel fires , 2013 .

[7]  R. L. Alpert Calculation of response time of ceiling-mounted fire detectors , 1972 .

[8]  Kai Zhu,et al.  An experimental investigation on blockage effect of metro train on the smoke back-layering in subway tunnel fires , 2016 .

[9]  Lizhong Yang,et al.  Effect of smoke screen height on smoke flow temperature profile beneath platform ceiling of subway station: An experimental investigation and scaling correlation , 2014 .

[10]  Longhua Hu,et al.  A global model on temperature profile of buoyant ceiling gas flow in a channel with combining mass and heat loss due to ceiling extraction and longitudinal forced air flow , 2014 .

[11]  Jie Ji,et al.  Numerical investigation on the effect of ambient pressure on smoke movement and temperature distribution in tunnel fires , 2017 .

[12]  Xiao Li,et al.  Smoke flow temperature beneath tunnel ceiling for train fire at subway station: Reduced-scale experiments and correlations , 2017 .

[13]  Fang Liu,et al.  Prediction of backlayering length and critical velocity in metro tunnel fires , 2015 .

[14]  Wei Tang,et al.  Numerical study on the optimization of smoke ventilation mode at the conjunction area between tunnel track and platform in emergency of a train fire at subway station , 2014 .

[15]  Xudong Cheng,et al.  Maximum smoke temperature beneath the ceiling in an enclosed channel with different fire locations , 2017 .

[16]  Kai Zhu,et al.  Prediction of smoke back-layering length under different longitudinal ventilations in the subway tunnel with metro train , 2016 .

[17]  Angui Li,et al.  How Domes Improve Fire Safety in Subway Stations , 2015 .

[18]  Kai Zhu,et al.  Smoke back-layering flow length in longitudinal ventilated tunnel fires with vertical shaft in the upstream , 2016 .

[19]  Jian Wang,et al.  Influence of constraint effect of sidewall on maximum smoke temperature distribution under a tunnel ceiling , 2017 .

[20]  Yaping He,et al.  Smoke temperature and velocity decays along corridors , 1999 .