Fire Risk Analysis of Luggage in Subway Station based on FDS

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.

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Publication Details

Journal
International Journal of Mechanical and Electrical Engineering
Published
2025-03-27
DOI
https://doi.org/10.62051/ijmee.v5n2.10
Primary Topic
Education, Safety, and Science Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Fire Risk Analysis of Luggage in Subway Station based on FDS

Shengdong Qin
International Journal of Mechanical and Electrical Engineering
Education, Safety, and Science Studies
article

Fire Risk Analysis of Luggage in Subway Station based on FDS

Shengdong Qin
article en

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.

International Journal of Mechanical and Electrical EngineeringVol. 5(2)
Henan Polytechnic University (CN)
Openalex Percentile: Top 89%
Education, Safety, and Science Studies
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