An Explorative Methodology to Assess the Risk of Fire and Human Fatalities in a Subway Station Using Fire Dynamics Simulator (FDS)

Fire

Syed Nasir Danial¹  Yaqi Yang²  Peilei You²  Hao Deng²  Zaman Sajid²  Xin Cheng² 

[1] Centre for Earth Observation Science, University of Manitoba, Winnipeg, MB R3T 2N2, Canada;Department of Process Engineering, Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John’s, NL A1B 3X5, Canada;

关键词: fire risk assessment;    fatality evaluation;    subway station;    fault tree analysis;    fuzzy analysis;    FDS software;   

DOI  :  10.3390/fire5030069

来源: DOAJ

【 摘 要 】

Subway transportation is one of the most prevalent urban transportation methods globally. Millions of people around the globe use this medium as their mode of transportation daily. However, subway stations may be highly prone to fire, smoke, or explosion accidents. The safety of people using subway stations demands a robust and practical framework to assess fire hazards and risks. This study provides a methodology to assess fire risk at a subway station. This study integrates fault tree analysis (FTA) and fuzzy analysis to conduct a comprehensive fire risk assessment. An integrated numerical model of fire temperature and fatality rate was developed using probit correlations for various fire exposure scenarios. The fire dynamics simulator (FDS) provides the probability distribution of casualties caused by fire. To demonstrate the operationalization of the model, Line 1 of the Harbin Metro, located in China, is used as a case study. Results show a probability of 42% of having fire risk in the subway station. Results reveal the highest fatality rate is 6.2% when evacuation time exceeds 200 s. The research helps us to understand the spread of smoke and temperature distribution due to a fire in a subway station. This study is helpful for fire protection engineers, safety managers, and local fire departments to develop a contingency plan to deal with fire in a subway station.

【 授权许可】

Unknown