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Potential Risks Assessment Method Using the Model Tunnel Associated with Japanese Expressway Tunnel Fires
A road tunnel is an enclosed space where backlayering of smoke produced by a fire can extend its damage beyond the part exposed to the fire. To realize a worry-free and safe infrastructure, emergency facilities in tunnels must be improved. Since it is difficult to uniformly apply improvement projects to all tunnels in the face of limited project budgets, it is necessary to prioritize projects to perform improvements systematically. As a method of efficiently conducting these projects, a statistical risk calculation method based on fire accident statistics obtained by defining individual tunnel fire accident risk as “(probability of occurrence of fire in a tunnel) × (loss),” has been proposed. This permits ranking the risk, allowing to set risk improvement project priorities. But to clarify risk improvement effects, medium to long-term observations are necessary. For human loss, which is the loss with the greatest impact on risk, a method of calculating change of potential risk by fire simulation and evacuation simulation has been proposed. But in order to calculate the potential risk of many tunnels, vast computing resources and long periods of time are needed. Therefore, another method was studied, using the results from a model tunnel, and performing evaluations linking fire simulations with evacuation simulations under a variety of conditions as a database. This paper introduces a potential risk calculation method suitable for individual tunnels based on the results of multiple regression analysis performed using these data.
Potential Risks Assessment Method Using the Model Tunnel Associated with Japanese Expressway Tunnel Fires
A road tunnel is an enclosed space where backlayering of smoke produced by a fire can extend its damage beyond the part exposed to the fire. To realize a worry-free and safe infrastructure, emergency facilities in tunnels must be improved. Since it is difficult to uniformly apply improvement projects to all tunnels in the face of limited project budgets, it is necessary to prioritize projects to perform improvements systematically. As a method of efficiently conducting these projects, a statistical risk calculation method based on fire accident statistics obtained by defining individual tunnel fire accident risk as “(probability of occurrence of fire in a tunnel) × (loss),” has been proposed. This permits ranking the risk, allowing to set risk improvement project priorities. But to clarify risk improvement effects, medium to long-term observations are necessary. For human loss, which is the loss with the greatest impact on risk, a method of calculating change of potential risk by fire simulation and evacuation simulation has been proposed. But in order to calculate the potential risk of many tunnels, vast computing resources and long periods of time are needed. Therefore, another method was studied, using the results from a model tunnel, and performing evaluations linking fire simulations with evacuation simulations under a variety of conditions as a database. This paper introduces a potential risk calculation method suitable for individual tunnels based on the results of multiple regression analysis performed using these data.
Potential Risks Assessment Method Using the Model Tunnel Associated with Japanese Expressway Tunnel Fires
Wu, Guan-Yuan (editor) / Tsai, Kuang-Chung (editor) / Chow, W. K. (editor) / Yokota, Masahiro (author) / Yamazaki, Tetsuya (author) / Kawabata, Nobuyoshi (author) / Imai, Shiori (author)
Asia-Oceania Symposium on Fire Science and Technology ; 2018 ; Taipei, Taiwan
The Proceedings of 11th Asia-Oceania Symposium on Fire Science and Technology ; Chapter: 71 ; 971-991
2020-01-01
21 pages
Article/Chapter (Book)
Electronic Resource
English
EU directive , Risk analysis , Statistical risks , Potential risks , Fire simulation , Evacuation simulation , Coupled evaluation , Multiple regression analysis Engineering , Fire Science, Hazard Control, Building Safety , Quality Control, Reliability, Safety and Risk , Engineering Thermodynamics, Heat and Mass Transfer , Building Materials , Renewable and Green Energy
Backlayering characteristics of thermal fume during tunnel fires in Hanshin Expressway
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