Research on fire safety strategy of an urban rail transit vehicle base

Fire Science and Technology ›› 2024, Vol. 43 ›› Issue (6): 888-891.

Previous Articles Next Articles

Research on fire safety strategy of an urban rail transit vehicle base

Ye Yifan¹, Huang Haiyan¹, Liu Jianchun², Ren Tong³

(1. Xiamen Fire and Rescue Division, Fujian Xiamen 361000, China;2. China Railway First Survey and Design Institute Group Co. Ltd., Shaanxi Xi'an 710043, China;3. Xiamen Public Fire Safety Technology Service Co., Ltd., Fujian Xiamen 361001, China)

Online:2024-06-15 Published:2024-06-15

Abstract

Abstract: Taking an urban rail transit vehicle base project as an example, the fire safety problems of the vehicle base were analyzed according to its characteristics, and the corresponding fire safety strategies were proposed in combination with current norms and standards, including the design methods of fire compartment/fire partition、personnel evacuation and fire hazard. Moreover, FDS and Pathfinder software were further used to carry out numerical simulation research on smoke flow and personnel evacuation. The safety of personnel evacuation was determined according to the simulation results, and the rationality of fire protection design was verified. The results could provide a basis for fire protection countermeasures of other urban rail transit vehicle bases.

Key words: vehicle base, fire safety, smoke flow, personnel evacuation, numerical simulation

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.

[1]	Ding Shiyi, Yang Han. Fire risk assessment based on comprehensive evaluation entropy algorithm [J]. Fire Science and Technology, 2024, 43(6): 797-799.
[2]	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.
[3]	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.
[4]	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.
[5]	Liu Xin, Hao Wenlei. Exploration and research on the grassroots fire safety management model of “person to person+” [J]. Fire Science and Technology, 2024, 43(6): 877-880.
[6]	Liu Fan, Chen Suhao, Ge Yuehong. The compliance mechanism and construction path of the judicial application of the crime of dangerous operation in the field of [J]. Fire Science and Technology, 2024, 43(6): 881-883.
[7]	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.
[8]	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.
[9]	Liu Moyun. Experimental study on the mechanical smoke exhaust effect of the operation depot of the vehicle base above subway [J]. Fire Science and Technology, 2024, 43(3): 320-325.
[10]	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.
[11]	He Yunfei, Yue Changshan, Wang Baozhu, Zhao Bin. Polyurea elastomer with aluminum hypophosphite: flame retardancy and aging resistance [J]. Fire Science and Technology, 2024, 43(2): 249-254.
[12]	Chen Shuo, Pan Li, Liu Jian. Practice and exploration of building a modern grassroots fire safety governance system [J]. Fire Science and Technology, 2024, 43(2): 278-281.
[13]	Zeng Yanfu, Li Yizhou, Huang Xinyan. Deep-learning prediction on fire-induced temperature field in complex room layouts [J]. Fire Science and Technology, 2024, 43(1): 51-55.
[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]	Xiang Kai, Pan Yanchong, Song Tianyi, Hu Shengli, . Study on the over temperature alarm device of structural members under fire [J]. Fire Science and Technology, 2023, 42(9): 1167-1173.

Research on fire safety strategy of an urban rail transit vehicle base

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments