Temperature distribution and smoke transport characteristics of moving body fire in tunnel

doi:10.16265/j.cnki.issn1003-3033.2023.08.2156

Abstract

Abstract:

In order to explore the influence of fire source power on tunnel moving body fire, the computational fluid dynamics (CFD) software Fluent was used to simulate the temperature distribution and smoke transport characteristics in the tunnel. The prediction model of the maximum and average temperature of the tunnel ceiling with the running distance of the moving body was established. The results show that the greater the fire source power, the higher the ceiling temperature, and the larger the area and influence range of the high temperature zone. The vortex flow formed by entrainment combustion appears behind the fire source, which makes the temperature distribution and smoke transport show different rules from the static fire source in the vertical space. At the same time, the diffusion range and content of smoke increase with the increase of fire source power. During the whole movement process, the highest temperature of the tunnel ceiling has a cubic polynomial function relationship with the running distance of the moving body in the tunnel, while the average temperature has a linear function relationship with it.

Key words: moving body fire in tunnel, fire source power, temperature distribution, smoke transport, numerical simulation

AN Weiguang, GUANG Daqing. Temperature distribution and smoke transport characteristics of moving body fire in tunnel[J]. China Safety Science Journal, 2023, 33(8): 77-83.

Figures/Tables 11

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Tab.1

Tab.2

Dimension summary of each physical quantity unit

序号	符号	单位	量纲
1	T_max	K	T
2	T₀	K	T
3	X	m	L
4	H	m	L
5	$Q ˙$	kJ/s	L^-2Mθ^-3
6	v	m/s	Lθ^-1
7	v_t	m/s	Lθ^-1
8	C_p	J/(kg·K)	L²θ^-2T^-1
9	ρ₀	kg/m³	ML^-3
10	g	m/s²	Lθ^-2

Tab.2

Fig.6

Tab.3

Tab.4

Fig.7

References 15

[1]	徐志胜, 周庆, 徐彧, 等. 运行旅客列车隧道火灾模拟实验研究[J]. 中国安全科学学报, 2003, 13(7): 8-11.
	XU Zhisheng, ZHOU Qing, XU Yu, et al. Study on simulated fire experiment of running passenger train in tunnel[J]. China Safety Science Journal, 2003, 13(7): 8-11.
[2]	屈璐, 陈超, 杨英霞, 等. 地铁列车区间隧道着火时行车安全性的讨论[J]. 地下空间与工程学报, 2007, 3(5): 832-836.
	QU Lu, CHEN Chao, YANG Yingxia, et al. Discussion about safe velocity of on-fire train in subway tunnel[J]. Chinese Journal of Underground Space and Engineering, 2007, 3(5): 832-836.
[3]	ZHOU Dan, TIAN Hongqi, ZHENG Jinli, et al. Smoke movement in a tunnel of a running metro train on fire[J]. Journal of Central South University, 2015, 22(1): 208-213. doi: 10.1007/s11771-015-2511-0
[4]	李湘蕾. 地铁列车运动体火灾特性研究[D]. 北京: 北京交通大学, 2011.
	LI Xianglei. Research on the fire characteristic of moving subway train[D]. Beijing: Beijing Jiaotong University, 2011.
[5]	李士戎. 移动火源对隧道温度场分布及烟气流动影响规律研究[D]. 西安: 西安科技大学, 2013.
	LI Shirong. Research on influence of moving fire on temperature field distribution and smoke spread in tunnel[D]. Xi'an: Xi'an University of Science and Technology, 2013.
[6]	WANG Zhe, ZHOU Dan, KRAJNOVIC S, et al. Moving model test of the smoke movement characteristics of an on-fire subway train running through a tunnel[J]. Tunnelling and Underground Space Technology, 2020, 96: DOI: 10.1016/j.tust.2019.103211.
[7]	朱春光. 狭长受限空间运动地铁列车火灾特性研究[D]. 天津: 天津大学, 2017.
	ZHU Chunguang. Characteristics of moving fire in long and confined subway tunnels[D]. Tianjin:Tianjin University, 2017.
[8]	江帆, 徐勇程, 黄鹂. Fluent高级应用与实例分析(第2版)[M]. 北京: 清华大学出版社, 2018:231-233.
[9]	何坤. 隧道多火源火灾特性及竖井自然排烟研究[D]. 合肥: 中国科学技术大学, 2021.
	HE Kun. Characteristics of multiple fires in the tunnel and smoke exhaustion using naturally ventilated shafts[D]. Hefei: University of Science and Technology of China, 2021.
[10]	HESKESTAD G, HAMADA T. Ceiling jets of strong fire plumes[J]. Fire Safety Journal, 1993, 21(1): 69-82. doi: 10.1016/0379-7112(93)90005-B
[11]	INGASON H, LI Yingzhen. Model scale tunnel fire tests with longitudinal ventilation[J]. Fire Safety Journal, 2010, 45(6): 371-384. doi: 10.1016/j.firesaf.2010.07.004
[12]	ALPERT R L. Calculation of response time of ceiling-mounted fire detectors[J]. Fire Technology, 1972, 8(3): 181-195. doi: 10.1007/BF02590543
[13]	DELICHATSIOS M A. The flow of fire gases under a beamed ceiling[J]. Combustion and Flame, 1981, 43(1): 1-10. doi: 10.1016/0010-2180(81)90002-X
[14]	HU Longhua, HUO Ran, LI Yuanzhou, et al. Tracking a ceiling jet front for hot smoke tests in tunnels[J]. Journal of Fire Sciences, 2007, 25(2): 99-108. doi: 10.1177/0734904107065888
[15]	姜学鹏, 陈欣格, 郭昆. 侧部点式排烟隧道火灾临界风速研究[J]. 中国安全科学学报, 2021, 31(3): 105-111. doi: 10.16265/j.cnki.issn1003-3033.2021.03.015
	JIANG Xuepeng, CHEN Xin'ge, GUO Kun. Study on critical velocity of lateral point smoke extraction tunnel fire[J]. ChinaSafety Science Journal, 2021, 31(3):105-111.

隧道位置/m	拟合直线斜率	拟合优度R²
10	2.078 30	0.967 20
20	2.435 35	0.964 85
30	2.535 77	0.929 72
40	2.886 45	0.930 02

火源功率/MW	B₁	B₂	B₃	I	R²
50	99.679 28	7.575 33	0.161 20	221.689 95	1
100	14.451 15	0.900 83	0.018 08	114.277 49	1
150	63.101 38	4.629 16	0.106 03	-55.924 93	1
200	60.755 52	4.050 90	0.082 19	-15.295 95	1

火源功率/MW	P₁	P₂	R²
50	64.809 99	-2.351 09	0.880 78
100	141.000 27	-5.542 33	0.860 52
150	135.316 82	-4.835 27	0.958 44
200	148.877 70	-5.175 42	0.995 36