Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

The use of multi-zone modelling for tunnel fire risk analysis

Johansson, Nils LU orcid ; Ronchi, Enrico LU orcid ; Scozzari, Rugiada and Fronterrè, Michele (2021) In TVBB
Abstract
Tunnel fire risk analysis are a useful tool to ensure adequate safety levels in tunnels. This report presents the work conducted to integrate a multi-zone modelling approach into a fire risk assessment tool, called ARTU. This work was performed to improve its fire modelling predictive capabilities compared to the currently adopted 1D fire modelling representation. This is deemed to allow for the use of multi-scale modelling, i.e., to select among different modelling approaches in relation to the scenarios under consideration. The multi-zone model integrated within ARTU is based on an existing tool, i.e., the MZ Fire model developed for large spaces which has been updated and adapted for tunnel environments. The integration of MZ Fire model... (More)
Tunnel fire risk analysis are a useful tool to ensure adequate safety levels in tunnels. This report presents the work conducted to integrate a multi-zone modelling approach into a fire risk assessment tool, called ARTU. This work was performed to improve its fire modelling predictive capabilities compared to the currently adopted 1D fire modelling representation. This is deemed to allow for the use of multi-scale modelling, i.e., to select among different modelling approaches in relation to the scenarios under consideration. The multi-zone model integrated within ARTU is based on an existing tool, i.e., the MZ Fire model developed for large spaces which has been updated and adapted for tunnel environments. The integration of MZ Fire model into ARTU involved a set of developments needed specifically for tunnel fire scenarios (e.g. considering tunnel gradient, tunnel section representations, customization of outputs for use in a tunnel fire risk assessment tool, etc.). Those new features are here presented along with a sensitivity analysis looking at zone size. Benchmarking of the results produced is performed through comparison with data from the 2006 BeNeLux tunnel experiments and the 2015 Runehamar experiments. The multi-zone model results were also compared against results from the Fire Dynamics Simulator (FDS) for a set of tunnel configurations. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Book/Report
publication status
published
subject
keywords
tunnel fire, risk analysis, multi-zone model, Fire safety
in
TVBB
issue
3242
pages
67 pages
publisher
Lund University, Department of Fire Safety Engineering
language
English
LU publication?
yes
id
0860ae34-2563-4863-b23c-0b2c6a629a00
date added to LUP
2021-12-10 12:38:22
date last changed
2022-02-09 02:25:42
@techreport{0860ae34-2563-4863-b23c-0b2c6a629a00,
  abstract     = {{Tunnel fire risk analysis are a useful tool to ensure adequate safety levels in tunnels. This report presents the work conducted to integrate a multi-zone modelling approach into a fire risk assessment tool, called ARTU. This work was performed to improve its fire modelling predictive capabilities compared to the currently adopted 1D fire modelling representation. This is deemed to allow for the use of multi-scale modelling, i.e., to select among different modelling approaches in relation to the scenarios under consideration. The multi-zone model integrated within ARTU is based on an existing tool, i.e., the MZ Fire model developed for large spaces which has been updated and adapted for tunnel environments. The integration of MZ Fire model into ARTU involved a set of developments needed specifically for tunnel fire scenarios (e.g. considering tunnel gradient, tunnel section representations, customization of outputs for use in a tunnel fire risk assessment tool, etc.). Those new features are here presented along with a sensitivity analysis looking at zone size. Benchmarking of the results produced is performed through comparison with data from the 2006 BeNeLux tunnel experiments and the 2015 Runehamar experiments. The multi-zone model results were also compared against results from the Fire Dynamics Simulator (FDS) for a set of tunnel configurations.}},
  author       = {{Johansson, Nils and Ronchi, Enrico and Scozzari, Rugiada and Fronterrè, Michele}},
  institution  = {{Lund University, Department of Fire Safety Engineering}},
  keywords     = {{tunnel fire; risk analysis; multi-zone model; Fire safety}},
  language     = {{eng}},
  month        = {{12}},
  number       = {{3242}},
  series       = {{TVBB}},
  title        = {{The use of multi-zone modelling for tunnel fire risk analysis}},
  url          = {{https://lup.lub.lu.se/search/files/110758810/The_use_of_multi_zone_modelling_for_tunnel_fire_risk_analysis.pdf}},
  year         = {{2021}},
}