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
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;
Conference_Titel :
Information Engineering, 2009. ICIE '09. WASE International Conference on
Conference_Location :
Taiyuan, Shanxi
Print_ISBN :
978-0-7695-3679-8
DOI :
10.1109/ICIE.2009.112