The use of multi-zone modelling for tunnel fire risk analysis
(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:
https://lup.lub.lu.se/record/0860ae34-2563-4863-b23c-0b2c6a629a00
- author
- Johansson, Nils LU ; Ronchi, Enrico LU ; Scozzari, Rugiada and Fronterrè, Michele
- organization
- publishing date
- 2021-12-10
- 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}}, }