Citation

Ang CD, Rein G, Peiro J. Fire Technol. 2020; 56(5): 1937-1941.

Copyright

(Copyright © 2020, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s10694-020-01004-x

PMID

unavailable

Abstract

We want to highlight the importance of establishing a best practice guideline for the computational modelling of large fires in tunnels. Tunnels are expensive critical infrastructure designed for 100 years or more, and computational tunnel fire modelling forms a critical tool in their design. However, there is still a lack of knowledge sharing in tunnel fire modelling across the industry. Tunnels is part of a sector with an unprecedented investment of over $700 billion dollars in 2017 [1] and the investment has continued.

When modelling fires using Fire Dynamics Simulator [2] in long tunnels, we observed that mass flow oscillates with a non-negligible amplitude of 20% or more. Using this oscillatory behaviour, we want to highlight our belief that there is still a lack of knowledge sharing in tunnel fire modelling, and two suggestions on improving the status quo...

Language: en