0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Design Fire Scenarios for Railway Tunnel Fires

 Design Fire Scenarios for Railway Tunnel Fires
Author(s): , ,
Presented at IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019, published in , pp. 82-86
DOI: 10.2749/newyork.2019.0082
Price: € 25.00 incl. VAT for PDF document  
ADD TO CART
Download preview file (PDF) 0.16 MB

Extreme fire events in tunnels may have catastrophic consequences, which include loss of lives, structural damage, and major socioeconomic impacts. One of the primary factors that influences the le...
Read more

Bibliographic Details

Author(s): (University at Buffalo)
(University at Buffalo)
(University at Buffalo)
Medium: conference paper
Language(s): English
Conference: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019
Published in:
Page(s): 82-86 Total no. of pages: 5
Page(s): 82-86
Total no. of pages: 5
DOI: 10.2749/newyork.2019.0082
Abstract:

Extreme fire events in tunnels may have catastrophic consequences, which include loss of lives, structural damage, and major socioeconomic impacts. One of the primary factors that influences the level of damage is the demand fire scenario in a tunnel. A few standard hydrocarbon fire temperature-time curves exist, but they are idealized and do not consider the actual fire duration and fire spread inside the tunnel. Risk-based decision-making frameworks and performance-based design of tunnel linings require a more realistic set of fire scenarios compared to the standard fire curves. This paper focuses on a traveling fire model for a railway tunnel to evaluate temperature evolution considering fire spread between train cars. In this study, a series of numerical simulations are conducted in Fire Dynamics Simulator (FDS), a computational fluid dynamics software package. A parametric study with varying ventilation velocity, amount of fuel, tunnel slope, ignition point and criteria for fire spread is performed. The outcome of this work can be used in future to establish guidelines for design temperature demands within risk-based frameworks to minimize economic losses in railway tunnels in case of fire.

Keywords:
probabilistic methods performance-based approach Railway tunnel fire temperature evolution traveling fire