Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/46371
Title: A computational fluid dynamic simulation study of a smoke extract system in an underground transit station
Authors: Chew, M.Y.L. 
Lim, S.H.
Issue Date: 1999
Source: Chew, M.Y.L.,Lim, S.H. (1999). A computational fluid dynamic simulation study of a smoke extract system in an underground transit station. Journal of Applied Fire Science 9 (3) : 251-273. ScholarBank@NUS Repository.
Abstract: A computational fluid dynamics (CFD) model based on PHOENICS has been used to evaluate the distribution of fire induced air flow, temperature and smoke concentration in an underground transit station. Three cases were simulated to study how the underground transit station's smoke extract system cope with a 1 MW of 6 m perimeter baggage fire at three different locations. Each case was studied at 4, 6, 10, and 15 minutes after fire ignition. The results obtained were compared with the theoretical and empirical formulae and guidelines established by Building Research Establishments (BRE) which were meant for conventional buildings. The 4 and 6 minute results were also used to study whether the station can comply with NFPA 130's exiting requirements of providing a tenable environmental condition for passengers' evacuation. In addition, the simulation results after 10 minutes were used to evaluate the environmental condition of the station when firemen enter the station for fire fighting. Results from the simulations showed that the underground transit station could comply with the NFPA 130's exiting requirements for providing a tenable environmental condition for passengers' evacuation. However, simulation results for one of the cases, i.e., Case 3, indicated that the station's environmental condition was unsafe for humans after 10 minutes from ignition due to stratification phenomenon. © 2000, Baywood Publishing Co., Inc.
Source Title: Journal of Applied Fire Science
URI: http://scholarbank.nus.edu.sg/handle/10635/46371
ISSN: 10444300
Appears in Collections:Staff Publications

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