单洞对向公路隧道火灾烟气模糊控制

WANG Ya-qiong; DENG Min; HU Yan-jie; HU Jin-ping; XIE Yong-li

doi:10.19818/j.cnki.1671-1637.2012.05.002

单洞对向公路隧道火灾烟气模糊控制

doi: 10.19818/j.cnki.1671-1637.2012.05.002

王亚琼^1,,
邓敏^{2, 3},
胡彦杰^{2, 3},
胡金平⁴,
谢永利¹

1.
长安大学陕西省公路桥梁与隧道重点实验室, 陕西西安 710064
2.
中交第二公路勘察设计研究院有限公司, 湖北武汉 430056
3.
武汉中交交通工程有限责任公司, 湖北武汉 430056
4.
中交公路规划设计院有限公司, 北京 100088

基金项目:

Scientific and Technological Project of Communications Construction of Yunnan Province 2010318

Special Fund for Basic Scientific Research of Central Colleges CHD2009JC096

Scientific and Technological Combined Tackling Project of Transport Industry of Ministry of Transport 20100920

详细信息

中图分类号: U453.5
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出版历程
- 收稿日期: 2012-07-22

Fuzzy control of fire smoke in single highway tunnel with subtended traffic

1.
Key Laboratory for Highway Bridge and Tunnel of Shaanxi Province, Chang'an University, Xi'an 710064, Shaanxi, China
2.
CCCC Second Highway Consultants Co., Ltd., Wuhan 430056, Hubei, China
3.
Wuhan CCCC Traffic Engineering Co., Ltd., Wuhan 430056, Hubei, China
4.
CCCC Highway Consultants Co., Ltd., Beijing 100088, China

Funds:

Scientific and Technological Project of Communications Construction of Yunnan Province 2010318

Special Fund for Basic Scientific Research of Central Colleges CHD2009JC096

Scientific and Technological Combined Tackling Project of Transport Industry of Ministry of Transport 20100920

More Information

Author Bio:
WANG Ya-qiong(1975-), Male, Taihu, Anhui, Associate Professor of Chang'an University, PhD, Researchon Highway Tunnel Structure, +86-29-82334445, ys08@gl.chd.edu.cn

摘要

摘要: 为解决公路隧道火灾烟气对人员的影响, 以单洞对向交通隧道火灾为基础, 建立火灾数值计算模型。在火灾烟气控制中引入模糊控制理论, 模拟烟雾在隧道内两组射流风机之间200 m的区间内往复运动, 通过改变射流风机的风速和方向, 分析在时间为180、360 s内, 风速为1.0、1.5 m.s^-1的火灾烟雾扩散情况, 研究了控制区域内烟气的分布和影响规律。计算结果表明: 在火灾点两侧分别开启射流风机, 间歇为30 s、风速为1.0 m.s^-1的运行烟气属于小振幅运动, 烟雾基本控制在火源点左右两侧50~80 m的位置; 间歇为60 s、风速为1.5 m.s^-1的运行烟气属于大振幅运动, 烟雾基本控制在火源点左右两侧80~100 m的位置; 烟气小振幅运动要优于大振幅运动。
- 隧道工程 /
- 对向交通 /
- 纵向通风 /
- 火灾烟气 /
- 模糊控制 /
- 数值分析
Abstract: In order to eliminate the influence of fire smoke on people in single highway tunnel with subtended traffic, a fire numerical calculation model was established.The theory of fuzzy control was introduced into the control of fire smoke, and the reciprocating motion of smoke in the area of 200 m between two groups of jet fans in the tunnel was simulated.By changing the wind velocities and directions of jet fans in tunnel, the distribution and influence law of smoke within the control area were studied when smoke diffusion times were 180 and 360 s, and wind velocities were 1.0 and 1.5 m·s^-1.Calculation result shows that after jet fans on both sides of fire source are started respectively, the smoke is basically controlled at the positions of 50-80 m on both sides of fire source, and its motion belongs to small amplitude motion when the start interval of jet fans is 30 s and wind velocity is 1.0 m·s^-1.When the interval is 60 s and the speed is 1.5 m·s^-1, the smoke is basically controlled at the positions of 80-100 m, and its motion is large amplitude motion.The small amplitude motion is superior to large amplitude motion.
- tunnel engineering /
- subtended traffic /
- longitudinal ventilation /
- fire smoke /
- fuzzy control /
- numerical analysis

HTML全文

Figure 1. Fuzzy control principle

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Figure 2. Fuzzy control of smoke

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Figure 3. Cross section of calculation model

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Figure 4. Overall calculation model

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Figure 5. Smoke distributions of axial longitudinal section when v=1.0 m·s^-1

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Figure 6. Smoke distributions of longitudinal section when v=-1.0 m·s^-1

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Figure 7. Smoke distributions of horizontal section when y=1.5 m and v=1.0 m·s^-1

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Figure 8. Smoke distributions of horizontal section when v=-1.0 m·s^-1 and y=1.5 m

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Figure 9. Smoke distributions of axial longitudinal section when v=1.5 m·s^-1

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Figure 10. Smoke distributions of axial longitudinal section when v=-1.5 m·s^-1

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Figure 11. Smoke distributions of horizontal sectional when y=1.5 m and v=1.5 m·s^-1

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Figure 12. Smoke distributions of horizontal section when y=1.5 m and v=-1.5 m·s^-1

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参考文献(14)

[1]	WANG Ya-qiong. Study on fire safety countermeasure in single highway tunnel for subtended traffic[D]. Xi'an: Chang'an University, 2009.
[2]	JTJ 026.1—1999, specification for design of ventilation and lighting of highway tunnel, national industrial standard of P. R. China[S].
[3]	CHIEN Shen-wen. The fire scenario and suppression analysis of a longitudinal ventilation tunnel with a traffic jam[J]. Journal of Applied Fire Science, 2006, 16(2): 121-131. doi: 10.2190/AF.16.2.c
[4]	WANG Chun, JIANG Fan, OU Jia-jie. Numerical simulation of different ventilation strategy designed for vehicle fire in metro station[J]. Journal of Guangzhou University: Natural Science Edition, 2007, 6(5): 64-68.
[5]	ZHAO Zhong-jie, DING Heng, TIAN Mei. Strategy of dispering disastor highway tunnel[J]. Journal of Chang'an University: Natural Science Edition, 2007, 27(1): 50-53.
[6]	LI Xian-ting, QISEN Y. Numerical analysis of smoke move-ment in subway[J]. Fire Safety Science, 1993, 2(2): 6-13.
[7]	FENG Lian, ZHANG Fa-yong. Numerical simulation of fire in double tube road tunnel with transverse alleyways[J]. Chinese Journal of Underground Space and Engineering, 2007, 3(2): 329-332.
[8]	ZHOU Yong-di, XIA Yong-xu, WANG Yong-dong. Research on safety of fire rescue in highway tunnel[J]. China Journal of Highway and Transport, 2008, 21(6): 83-89.
[9]	AN Shi, CUI Jian-xun, WANG Jian. Hybrid evacuation popu-lation estimation model based on fuzzy logic and discrete choice model[J]. Journal of Traffic and Transportation Engin-eering, 2009, 9(5): 78-82, 105.
[10]	WANG Lei, GUO Yang-yang. Research on network ventilation technology in fire condition of extra-long highway tunnel[J]. Road Machinery and Construction Mechanization, 2012, 29(4): 76-78.
[11]	FENG E, LIU C, ZHENG J. Software reliability acceleratedtesting based on combined testing method[C]∥IEEE. Inter-national Conference on Reliability, Maintainability and Safety. Guizhou: IEEE, 2011: 651-656.
[12]	LIU Z G, KASHEF A H, LOUGHEED G D, et al. Investi-gation on the performance of fire detection systems for tunnelapplications—part 1: full-scale experiments at a laboratorytunnel[J]. Fire Technology, 2011, 47(1): 163-189. doi: 10.1007/s10694-010-0142-4
[13]	KASHEF A, LIU Z G, CRAMPTON G, et al. Findings of the international road tunnel fire detection research project[J]. Fire Technology, 2009, 45(2): 221-237.
[14]	ZHOU Xiang-chuan, ZHAO Wang-da, NI Tian-xiao. The influence of roof spacer on the smoke spread and temperature in highway tunnel fire[J]. Journal of Railway Science and Engineering, 2011, 8(1): 77-81.