Fire Risk Analysis of Luggage in Subway Station based on FDS

Authors

  • Shengkai Qin

DOI:

https://doi.org/10.62051/ijmee.v5n2.10

Keywords:

FDS, Fire Simulation, Luggage Fire, Personnel Evacuation, Fire Prevention and Control

Abstract

This paper examines the fire risk in subway stations using FDS software, establishing fire models for both subway cars and platforms. It simulates a luggage fire scenario to investigate its impact on personnel evacuation. The study reveals that luggage fires spread rapidly within subway cars and on platform levels, leading to a sharp decline in visibility, significant increases in temperature and CO concentration, thereby posing a severe threat to evacuation efforts. By constructing and simulating an evacuation model, this research calculates evacuation times under various scenarios and compares these with the time it takes for danger to arrive. Results indicate that evacuation can be completed before danger arrives in all simulated fire scenarios. This research proposes strategies for subway fire prevention and control, including the rational layout of subway facilities, utilization of advanced firefighting equipment, and establishment of fire zones, aiming to reduce the likelihood and spread of fires, enhance subway fire prevention and control capabilities, improve personnel evacuation efficiency, and ensure operational safety.

References

[1] YUAN Yong, QIU Junnan. Statistical analysis of metro fire cases [J]. Urban Mass Transit, 2014, 17(07): 26-31+61.

[2] ZHU Aoni. Statistical analysis of domestic and international subway fire accidents in 2000-2019 [J]. Urban Mass Transit, 2020, 23(08): 148-150.

[3] LIU Weiqing, WANG Chendong, LI Yifan, et al. Analysis of influencing factors for fire emergency response in metro station [J]. Journal of Railway Engineering Society, 2023,40(07):93-99.

[4] Zhang Ying, Zhang Biao, Hou Jiali. Analysis on impact of fire smoke on personnel evacuation in the middle of metro train [J]. Modern Urban Transit, 2020, (02):65-68.

[5] XING Zhixiang, ZHANG Ying, QIAN Hui, et al. New ideas to develop the simulating technology of fire and personnel evacuation in subway station [J]. Safety and Environmental Engineering, 2018,25(03):130-135.

[6] Cheng X. Simulation study on smoke barrier performance of air curtains on subway platforms [D]. Anhui University of Architecture,2023.

[7] Gao Yiwei. Research on fire resilience assessment system of subway station [D]. Qingdao University of Technology, 2022.

[8] Qiu Qingrui. Research on fire smoke diffusion and control technology of multi-story subway station [D]. South China University of Technology,2017.

[9] TEODOSIU C I, KUBINYECZ V F. Numerical Study on the Impact of Platform Screen Doors in a Subway Station with a Train on Fire[J]. Applied Sciences-Basel, 2022, 12(16):82-96.

[10] SAJID Z, YANG Y Q, YOU P L, et al. An Explorative Methodology to Assess the Risk of Fire and Human Fatalities in a Subway Station Using Fire Dynamics Simulator (FDS)[J]. Fire-Switzerland, 2022, 5(3): 69.

[11] TAVAKOLIAN Z, ABOUALI O, YAGHOUBI M. 3D simulations of smoke exhaust system in two types of subway station platforms[J]. International Journal of Ventilation, 2021, 20(1): 65-81.

[12] FENG J R, GAI W M, YAN Y B. Emergency evacuation risk assessment and mitigation strategy for a toxic gas leak in an underground space: The case of a subway station in Guangzhou, China[J].Safety Science,2021,134:105039.

[13] YANG Zhou, DENG Langni, KONG Linghu. Research on fire simulation and safety evacuation of a subway station based on BIM[J]. Journal of Guangxi University of Science and Technology, 2022, 33(04): 23-30.

[14] WANG Jibo. Study on smoke exhaust scheme in subway station walkway based on FDS[J]. New Technology & New Products of China, 2022,(12): 145-148.

[15] YI Xin, FAN Jing, MA Li, et al. Effect of longitudinal ventilation on temperature characteristics in metro tunnel under fire[J]. Journal of Central South University (Science and Technology), 2019,50(12): 3163-3170.

[16] Mcgrattan K,Hostikka S,Mcdermott R,et a1. Fire Dynamics Simulator User's Guide[J]. Nist Special Publication, 2016: 543-557.

[17] DAI Changqing, YUAN Hui, WANG Jiahui. Study on the Influence of Sprinkler System on Fire Parameters of Subway Platform Based on FDS[J]. Journal of Anhui Jianzhu University, 2022,30(01):1-7+33.

Downloads

Published

27-03-2025

Issue

Section

Articles

How to Cite

Qin, S. (2025). Fire Risk Analysis of Luggage in Subway Station based on FDS. International Journal of Mechanical and Electrical Engineering, 5(2), 82-93. https://doi.org/10.62051/ijmee.v5n2.10