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A Numerical Study on Passenger Evacuation in a Subway Station in Case of Fire Occurrence  

Kim, Chi-Gyeom (Graduate school, Sogang University)
Lee, Sung-Won (Graduate school, Sogang University)
Hur, Nahm-Keon (Department of Mechanical Engineering, Sogang University)
Nam, Seong-Won (Railway System and Safety Research Department, KRRI)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.22, no.8, 2010 , pp. 509-514 More about this Journal
Abstract
A numerical simulation of passenger evacuation in a subway station was performed by coupling the passenger flow analysis and the fire simulation. The algorithm of the passenger flow analysis was based on a DEM (Discrete Element Method) using the potential map of the direction vector for each passenger. This algorithm was improved in the present study as to use finer grid smaller than a passenger in order to resolve detailed geometry of the station and to resolve the behavior of passengers in the bottleneck at the ticket gate considering the collision of passengers to a wall or with other passengers. In the fire simulation, the CO distribution predicted by using CFD was used to take into account the effect of toxic gases on the passengers' mobility. The methodology proposed in the present study could be used in designing safer subway station in case of fire occurrence.
Keywords
Passenger evacuation flow; Discrete element method; Computational fluid dynamics; Pre processor;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 Simulex on-line user's manual, 2004, Integrated Environmental Solutions Limited.
2 Galea, E. R., 2002, Principles and Practice of Evacuation Modeling, 7th ed., CMS Press.
3 Nam, S. W., 2005, (in Korean) Development of algorithm for passenger flow analysis based on DEM, Journal of the Korean Society for Railway, Vol. 8, pp. 337-341.   과학기술학회마을
4 Nanbu, K., 1992, Stochastic solution method of the boltzmann equation, The memoirs of the Institute of Fluid Science, Vol. 3, pp. 47-93.
5 Bird, G. A., 1976, Molecular gas dynamics, Clarendon Press.
6 Ilachinski, A., 2001, Cellular automata : A Discrete Universe, World Scientific Publishing Co.
7 Nagel, K. and Scheckenberg, M., 1992, A cellular automation model for freeway traffic, Journal of Physics I France, Vol. 1, pp. 2221-2229.
8 Yang, S., Hur, N., Ryou, H. S., Kim, D. H., and Jang, Y. J., 2008, (in Korean) Numerical simulation of smoke ventilation in rescue route and cross passage of railroad tunnel, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 20, pp. 1-10.   과학기술학회마을
9 Chin, S. M., Won, C. S., and Hur, N., 2004, (in Korean) Development of a mesh generation program using contour line data, Journal of Computational Fluids Engineering, Vol. 9, No. 4, pp. 7-12.   과학기술학회마을
10 Purser, D., 1996, Behavioural impairment in smoke environments, Toxicology, Vol. 115, pp. 25-40.   DOI   ScienceOn