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Numerical study on the optimization of smoke ventilation in a situation of a train fire at a subway station
Joint Authors
Muhsin, Khalid Muhammad
Sadiq, Hatim Muhammad
smail, Mustafa Ahmad.
Source
Issue
Vol. 2020, Issue 166 (30 Jun. 2020), pp.31-45, 15 p.
Publisher
Helwan University Faculty of Engineering Mataria
Publication Date
2020-06-30
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Smoke is the most deadly factor in the event of subway fire because it spreads in direction coincide with passenger's evacuation path.
It reduces visibility and can cause deaths by suffocation (known as the silent killer).
This paper presents a numerical study on the optimization of smoke ventilation mode at the conjunction area between the tunnel track and the platform in a situation of a train fire at a subway station.
The present study investigates the effectiveness of smoke control or smoke ventilation utilizing an over track exhaust (OTE) fan.
Fire dynamics simulator (FDS) program is utilized to simulate a subway car fire source with a steady heat release rate resulted from burning heptane as a fuel; the model dimensions are 150-m long, 22-m wide, and 19-m height.
Calculations are based on the time of smoke spreading, people evacuation period, and the measurement of temperature by using distribution thermocouple along the station tunnel before and after applying the control.
The results showed that, before applying the control, smoke filled the station, the vision became ent, and the smoke was expected to cause suffocation accompanied by death.
After applying the control utilizing an OTE fan, smoke spreading was reduced, which suppressed the suffocation, and the visibility was clear improved during people evacuation.
American Psychological Association (APA)
Muhsin, Khalid Muhammad& Sadiq, Hatim Muhammad& smail, Mustafa Ahmad.. 2020. Numerical study on the optimization of smoke ventilation in a situation of a train fire at a subway station. Engineering Research Journal،Vol. 2020, no. 166, pp.31-45.
https://search.emarefa.net/detail/BIM-1336388
Modern Language Association (MLA)
Muhsin, Khalid Muhammad…[et al.]. Numerical study on the optimization of smoke ventilation in a situation of a train fire at a subway station. Engineering Research Journal No. 166 (Jun. 2020), pp.31-45.
https://search.emarefa.net/detail/BIM-1336388
American Medical Association (AMA)
Muhsin, Khalid Muhammad& Sadiq, Hatim Muhammad& smail, Mustafa Ahmad.. Numerical study on the optimization of smoke ventilation in a situation of a train fire at a subway station. Engineering Research Journal. 2020. Vol. 2020, no. 166, pp.31-45.
https://search.emarefa.net/detail/BIM-1336388
Data Type
Journal Articles
Language
English
Notes
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Record ID
BIM-1336388