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

화재 발생 지하철 역사에서의 여객 대피 해석에 관한 연구

  • 김치겸 (서강대학교 대학원) ;
  • 이성원 (서강대학교 대학원) ;
  • 허남건 (서강대학교 기계공학과) ;
  • 남성원 (한국철도기술연구원 철도시스템연구본부)
  • Received : 2010.03.17
  • Published : 2010.08.10

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

References

  1. Nagel, K. and Scheckenberg, M., 1992, A cellular automation model for freeway traffic, Journal of Physics I France, Vol. 1, pp. 2221-2229.
  2. Ilachinski, A., 2001, Cellular automata : A Discrete Universe, World Scientific Publishing Co.
  3. Simulex on-line user's manual, 2004, Integrated Environmental Solutions Limited.
  4. Galea, E. R., 2002, Principles and Practice of Evacuation Modeling, 7th ed., CMS Press.
  5. 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.
  6. Nanbu, K., 1992, Stochastic solution method of the boltzmann equation, The memoirs of the Institute of Fluid Science, Vol. 3, pp. 47-93.
  7. Bird, G. A., 1976, Molecular gas dynamics, Clarendon Press.
  8. 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.
  9. Purser, D., 1996, Behavioural impairment in smoke environments, Toxicology, Vol. 115, pp. 25-40. https://doi.org/10.1016/S0300-483X(96)03493-2
  10. 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.