Research on the evacuation safety of 
Yellow River road-rail tunnel

Fire Science and Technology ›› 2021, Vol. 40 ›› Issue (9): 1327-1331.

Previous Articles Next Articles

Research on the evacuation safety of Yellow River road-rail tunnel

ZHAO Shi-chao1，ZHANG Liang-liang2， JIANG Xue-peng3，WANG Mei-na3

1. Jinan City Construction Group, Shandong Jinan 250000, China; 2. Tunnel Design Institute, China Railway Siyuan Survey and Design Group Co., Ltd., Hubei Wuhan 430081,China; 3. School of Resource and Environmental Engineering, Wuhan University of Science and Technology, Hubei Wuhan 430081, China

Online:2021-09-15 Published:2021-09-15

Abstract

Abstract: Taking the Jinan Yellow River road-rail tunnel as the research object, the impact of the distance between the vertical evacuation stairs and the horizontal evacuation door on the evacuation time of the people in the case of road tunnels and rail transit fires was analyzed, and the necessary evacuation time was obtained. The results show that when the distance between any two evacuation stairs is 60 m and 75 m, it meets the requirements for safe evacuation. When a fire occurs in rail transit, the available safe evacuation time is 2 700 s under effective ventilation. When the distance between any two evacuation doors is 150 m and 300 m, it meets safety evacuation requirements. Considering safety and operating costs, it is recommended to set the distance between the evacuation stairs as 75 m and the distance between the evacuation doors of the lower storey as 300 m.

Key words: tunnel fire, road-rail tunnel, evacuation, numerical simulation

ZHAO Shi-chao, ZHANG Liang-liang, JIANG Xue-peng, WANG Mei-na. Research on the evacuation safety of Yellow River road-rail tunnel[J]. Fire Science and Technology, 2021, 40(9): 1327-1331.

[1]	Nie Hui, Shen Yixin, Li Zhihua, Ma Jian. Effect of subway train door opening strategies on passenger evacuation efficiency [J]. Fire Science and Technology, 2024, 43(6): 800-805.
[2]	Li Hua, Sun Linxia, Zhang Yurong, Yi Peng. Study on influencing factors of personnel evacuation in escape rooms [J]. Fire Science and Technology, 2024, 43(6): 806-812.
[3]	Zhao Jiangping, Bao Wangwang. Numerical simulation on the influence of ambient pressure on smoke exhaust in tunnel shafts [J]. Fire Science and Technology, 2024, 43(6): 813-819.
[4]	Ye Yifan, Huang Haiyan, Liu Jianchun, Ren Tong. Research on fire safety strategy of an urban rail transit vehicle base [J]. Fire Science and Technology, 2024, 43(6): 888-891.
[5]	Zhang Lei, Ma Qiujv, Huang Hao, Zhang Yongfeng. Study on the risk of hydrogen leakage leading to explosion of FCV hydrogen storage system [J]. Fire Science and Technology, 2024, 43(5): 693-697.
[6]	Zhu Kai, Zong Xiaoyu, Chen Xiaofeng, Wu Ke. Study on the influence range of fire radiation of steel box girder inner cable [J]. Fire Science and Technology, 2024, 43(4): 451-456.
[7]	Zhao Xiaokun, Ni Minghao. Research on fire characteristics of different curvature curved tunnels based on PyroSim [J]. Fire Science and Technology, 2024, 43(3): 309-313.
[8]	Li Hua, Fan Shuaichao, Zhang Rumeng. Research on pedestrian evacuation in panic scenarios based on AnyLogic simulation [J]. Fire Science and Technology, 2024, 43(3): 356-361.
[9]	Hong Ruicheng, Wang Jin, Wang Qiuhua, Xing Fuji. Implications of New Zealand's forest fire history research for fire management in China's southwestern forest areas [J]. Fire Science and Technology, 2024, 43(3): 419-422.
[10]	Cai Jingjing, Li Xin, Yang Fuqiang. Bibliometric analysis of tunnel fire in China based on CNKI [J]. Fire Science and Technology, 2024, 43(3): 427-432.
[11]	Sang Jun, Feng Yuan, Zhou Xingang. Explosion numerical simulation analysis of high⁃voltage oil⁃immersed transformer in offshore platform [J]. Fire Science and Technology, 2024, 43(2): 173-176.
[12]	Shen Zhewei, Guo Qinghua, Li Xingli. Study on the smoke control performance and smoke exhaust efficiency of the point extraction system in tunnel fires [J]. Fire Science and Technology, 2024, 43(2): 189-196.
[13]	Hu Cheng, Liu Shaohua, Mao Tianlu. Analysis of evacuation behavior tendency of people in open public places [J]. Fire Science and Technology, 2024, 43(2): 197-202.
[14]	Niu Tianhui, Geng Dianqiao, Yuan Yi, Dong Hui. Fire origin prediction in single compartment based on BP neural network and soot deposition characteristics [J]. Fire Science and Technology, 2024, 43(1): 56-64.
[15]	Zhang Yi. Experimental study on pedestrian behavior and evacuation capacity of vertical slide in road tunnel [J]. Fire Science and Technology, 2024, 43(1): 70-75.

Research on the evacuation safety of Yellow River road-rail tunnel

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments