Distribution Laws of Fire Temperature Fields in Immersed Tunnel: A Case Study of Hong Kong-Zhuhai-Macao Bridge Immersed Tunnel Project
(2.China Merchants Chongqing Communications Technology Research & Design Institute Co., Ltd., Chongqing, China 400067)
【Abstract】The large testing platform for immersed tunnel is established to analyze the distribution laws of the temperature field and its influencing factors when a tunnel fire breaks out. Meanwhile, the combination method of physical testing (1:1 full-scale fire test) and numerical calculation FDS are applied. Some conclusions are drawn as follows: (1) Longitudinal wind speed within limits can decrease the maximum temperature of tunnel crown top effectively when fire breaks out in tunnel. (2) The maximum temperature of tunnel crown top and fire behavior are related to fire types obviously. (3) The high temperature resistance safe position of the tunnel equipment is below 3.5 m of tunnel sidewall in case of fire source heat quantity of 50 MW. (4) The fire maximum temperature is positively related to heat release rate (HRR) and longitudinal wind speed.
【Keywords】 immersed tunnel; full-scale experiment; disaster prevention and mitigation; oil pool fire; wood crib fire; temperature field;
 CAI Yifeng. Seikan Tunnel: The world’s longest tunnel through channel[J]. Traffic & Transportation, 2008(1): 46.
 KONG Xiangjin. Comments on underwater highway tunnel [J]. Highway Tunnel, 2002(3): 21.
 Guidelines for design of ventilation of highway tunnels [S]. Beijing: China Communications Press, 2014.
 XU Pai. Research on fire smoke movement characteristic in submarine immersed tunnel [D]. Chongqing: Chongqing Jiaotong University, 2014.
 XU Lin. Theoretical analysis and experimental study of smoke control in long highway tunnels [D]. Shanghai: Tongji University, 2007.
 ZHANG Xuekui, HU Dongdong, LI Sicheng, et al. Experimental measurement and calculation method for fire flue gas production [J]. Fire Technique and Products Information, 2006(10): 21.
 TIAN Kun, CHEN Dafei, JIANG Shuping, et al. Research on reasonable opening angle of single set of smoke vents in immersed tube tunnels [J]. Technology of Highway and Transport, 2015(4): 122.
 ZHOU Jian, JIANG Xuepeng, CHEN Dafei. Investigation on human evacuation behavior in road tunnel fire [J]. Fire Science and Technology, 2014, 33(3): 327.
 KUNSCH J P. Simple model for control of fire gases in a ventilated tunnel [J]. Fire Safety Journal, 2002, 37(1): 67.
 YANG P Z, WANG Xin, LIU Tao. Agent-based simulation of fire emergency evacuation with fire and human interaction model [J]. Safety Science, 2011, 49 (8): 1130.
 HU Y, LIU X, WANG F, et al. An overview of agentbased evacuation models for building fires [C]/ / Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control. Beijing: [s.n.], 2012.
 ROH J S, YANG S S, HONG S R. Tunnel fires: Experiments on critical velocity and burning rate in pool fire during longitudinal ventilation [J]. Journal of Fire Sciences, 2007, 25(2): 161.
 KURIOKA H, OKA Y, SATOH H, et al. Fire properties in near field of square fire source with longitudinal ventilation in tunnels [J]. Fire Safety Journal, 2003, 38 (4): 319.
 HU L H, HUO R, WANG H B, et al. Experimental studies of fire-induced buoyant smoke temperature distribution along tunnel ceiling [J]. Building and Environment, 2007, 42(11): 3905.
 HU L H, FONG N K, YANG L Z, et al. Modeling fireinduced smoke spread and carbon monoxide transportation in a long channel: Fire dynamics simulator comparisons with measured data [J]. Journal of Hazardous Materials, 2007, 140(1 /2): 293.