• DocumentCode
    3067116
  • Title

    Tunnel Fire Pedestrian 3D Virtual Reality Show

  • Author

    Hao, Shu-Qing ; Huang, Hong-Wei

  • Author_Institution
    Dept. of Geotechnical Eng., Tongji Univ., Shanghai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    10-11 July 2009
  • Firstpage
    221
  • Lastpage
    223
  • Abstract
    Fire on railway station is a very important disaster is worth of consideration. Fire risk evaluation is an important part for reducing and controlling fire in railway station. Up to now there are several evaluation methods, but few of them combining fire probability with fuzzy evaluation. Based on overall analysis of fire risk in railway station, a mathematical model of comprehensive probability fuzzy evaluation for fire risk is built. When fired, smoke will bring many pollution gases and harmful particles with high temperature. Study the fire risk probability of fuzzy evaluation method to evaluate the fire smoke flow phenomenon will provide help for peoplepsilas lives. In the article, the author established the fuzzy evaluation method and use the Smartfire software to simulate the fire on the station, it has provide the critical ventilation velocity that will disturb the fire smoke to flow back and can help people to escape when there is fire also. The result is that when ventilation velocity is 2.5 m/s can help people to escape effectively and pollution gases distribution can give management help for people escape.
  • Keywords
    fires; fuzzy set theory; probability; railway safety; risk analysis; smoke; tunnels; ventilation; virtual reality; Smartfire software; comprehensive probability fuzzy evaluation; critical ventilation velocity; fire probability; fire risk evaluation; fire risk probability; fire smoke flow phenomenon; fuzzy evaluation method; pollution gases distribution; railway station; tunnel fire pedestrian 3D virtual reality show; Equations; Fires; Fuels; Gases; Pollution; Rail transportation; Railway engineering; Risk analysis; Ventilation; Virtual reality; fire risk; fuzzy evaluation; probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering, 2009. ICIE '09. WASE International Conference on
  • Conference_Location
    Taiyuan, Shanxi
  • Print_ISBN
    978-0-7695-3679-8
  • Type

    conf

  • DOI
    10.1109/ICIE.2009.112
  • Filename
    5210935