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Design fire scenarios for railway tunnel fires

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publication20th Congress of IABSE, New York City 2019
Subtitle of host publicationThe Evolving Metropolis - Report
PublisherInternational Association for Bridge and Structural Engineering (IABSE)
Pages82-86
Number of pages5
ISBN (Electronic)9783857481659
DOIs
StatePublished - 2019
Event20th IABSE Congress, New York City 2019: The Evolving Metropolis - New York City, United States
Duration: Sep 4 2019Sep 6 2019

Publication series

Name20th Congress of IABSE, New York City 2019: The Evolving Metropolis - Report

Conference

Conference20th IABSE Congress, New York City 2019: The Evolving Metropolis
Country/TerritoryUnited States
CityNew York City
Period09/4/1909/6/19

Keywords

  • Performance-based approach
  • Probabilistic methods
  • Railway tunnel fire
  • Temperature evolution
  • Traveling fire

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