TY - GEN
T1 - Design fire scenarios for railway tunnel fires
AU - Hua, Nan
AU - Tessari, Anthony F.
AU - Elhami-Khorasani, Negar
N1 - Publisher Copyright: © 20th Congress of IABSE, New York City 2019: The Evolving Metropolis - Report. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Performance-based approach
KW - Probabilistic methods
KW - Railway tunnel fire
KW - Temperature evolution
KW - Traveling fire
UR - https://www.scopus.com/pages/publications/85074452575
U2 - 10.2749/newyork.2019.0082
DO - 10.2749/newyork.2019.0082
M3 - Conference contribution
T3 - 20th Congress of IABSE, New York City 2019: The Evolving Metropolis - Report
SP - 82
EP - 86
BT - 20th Congress of IABSE, New York City 2019
PB - International Association for Bridge and Structural Engineering (IABSE)
T2 - 20th IABSE Congress, New York City 2019: The Evolving Metropolis
Y2 - 4 September 2019 through 6 September 2019
ER -