The verification and validation of a probabilistic risk analysis method for road tunnels
(2020) VBRM10 20192Division of Fire Safety Engineering
- Abstract
- In this thesis, a new probabilistic risk assessment tool for road tunnels has been verified and validated. The verification and validation were performed along with a literature review to find different key variables that affect the risk in a road tunnel and find out how these variables can be handled. Examples of variables are heat release, ventilation mode and factors within evacuation modelling such as response time, recognition time, walking speed and detection systems. The proposed values can inform the selection of default values and help future users which design values to pick. Uncertainties needs to be handled in a risk assessment and recommendations for this are presented. To perform the validation of the 1D fluid-dynamics... (More)
- In this thesis, a new probabilistic risk assessment tool for road tunnels has been verified and validated. The verification and validation were performed along with a literature review to find different key variables that affect the risk in a road tunnel and find out how these variables can be handled. Examples of variables are heat release, ventilation mode and factors within evacuation modelling such as response time, recognition time, walking speed and detection systems. The proposed values can inform the selection of default values and help future users which design values to pick. Uncertainties needs to be handled in a risk assessment and recommendations for this are presented. To perform the validation of the 1D fluid-dynamics representation within the tool, five full-scale experimental data sets from experiments made in the Second Benelux tunnel in year 2000-2001 was used as a benchmark. Simulations with the Fire Dynamics Simulator (FDS) was used to facilitate the validation. To perform the verification of different sub-models within evacuation modelling and of the probabilistic risk analysis, hand calculations of different ideal cases were compared to the results from the tool. The verification of sub-models within the evacuation modelling has shown that the tool gives reasonable, most often conservative results with a margin of error within the order of -13 % and +22 %. The 1D fluid dynamics part gives results that are conservative in four out of five cases. The verification of the probabilistic risk analysis gives results in line with the expected calculated values, with a margin of error within +2 %. Overall, this report has concluded that ARTU provides conservative results for risk analyses in road tunnels. In order to confirm this further, future validation studies could be conducted with different experiments. (Less)
- Popular Abstract
- Many countries and people depend on road tunnels for effective transportation. A set of tragic accidents in Europe around the year 2000, for example, the Mont Blanc tunnel fire in 1999 where 39 people were killed, lead to the increased awareness of the potential dangers of road tunnels. Following these events, there was a large pressure to make road tunnels safer and risk analyses of road tunnels became frequent after Directive 2004/54/EC was released by the European parliament. A number of tools and approaches has since then sprung up to meet this demand for risk analyses, one such tool is ARTU by Cantene®. This work has been done to validate and verify its reliability.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9003392
- author
- Genberg, Kim LU and Sandin, Karin LU
- supervisor
-
- Enrico Ronchi LU
- Bjarne Husted LU
- organization
- course
- VBRM10 20192
- year
- 2020
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Tunnels, fire, evacuation, probabilistic risk analysis, QRA, verification and validation
- report number
- 5604
- other publication id
- LUTVDG/TVBB--5604--SE
- language
- English
- id
- 9003392
- date added to LUP
- 2020-02-04 14:53:29
- date last changed
- 2020-02-04 14:53:29
@misc{9003392,
abstract = {{In this thesis, a new probabilistic risk assessment tool for road tunnels has been verified and validated. The verification and validation were performed along with a literature review to find different key variables that affect the risk in a road tunnel and find out how these variables can be handled. Examples of variables are heat release, ventilation mode and factors within evacuation modelling such as response time, recognition time, walking speed and detection systems. The proposed values can inform the selection of default values and help future users which design values to pick. Uncertainties needs to be handled in a risk assessment and recommendations for this are presented. To perform the validation of the 1D fluid-dynamics representation within the tool, five full-scale experimental data sets from experiments made in the Second Benelux tunnel in year 2000-2001 was used as a benchmark. Simulations with the Fire Dynamics Simulator (FDS) was used to facilitate the validation. To perform the verification of different sub-models within evacuation modelling and of the probabilistic risk analysis, hand calculations of different ideal cases were compared to the results from the tool. The verification of sub-models within the evacuation modelling has shown that the tool gives reasonable, most often conservative results with a margin of error within the order of -13 % and +22 %. The 1D fluid dynamics part gives results that are conservative in four out of five cases. The verification of the probabilistic risk analysis gives results in line with the expected calculated values, with a margin of error within +2 %. Overall, this report has concluded that ARTU provides conservative results for risk analyses in road tunnels. In order to confirm this further, future validation studies could be conducted with different experiments.}},
author = {{Genberg, Kim and Sandin, Karin}},
language = {{eng}},
note = {{Student Paper}},
title = {{The verification and validation of a probabilistic risk analysis method for road tunnels}},
year = {{2020}},
}