A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Increased tunnel availability through model based decision support
Tunnel safety depends on several systems operating as designed at the required moment. Tunnel Technical Installations (TTI) may function as expected in new tunnels but their functionality will decrease with aging. Maintenance processes help keep the tunnel in good condition, but it is hard to determine the actual safety level. For example, it is difficult to determine if a TTI defect can wait a few days for repair or should be repaired immediately with the tunnel closed. This is where model-based decision support comes in. This article describes the Tunnel Safety Indicator, a model in use in the tunnels of the Dutch cargo train link between Rotterdam seaport and the German border which is now being built into all the other Dutch railway tunnels. Application of this model in road tunnels has just started with a first pilot project. The top level of the model consists of the four Lines of Defense, i.e. prevention, mitigation, evacuation and rescue. These Lines of Defense must be available at a certain minimum level in order to consider a tunnel safe and available for traffic. Within the tunnel complex, these Lines are maintained by Safety Functions (2nd level). In the Dutch situation there are approximately 45 Safety Functions for a two-tube tunnel. These Safety Functions are fulfilled by the tunnel's technical systems (3rd level) and ultimately by the technical components (4th level) in a tunnel (Figure 1). This model enables the definition of business rules regarding the deterioration of installations and the ultimate effect of deterioration on the more abstractly defined level of tunnel safety. Using the output from the technical installations (SCADA) combined with the results of regular inspections, the Tunnel Safety Indicator provides an accurate and objective indicator of the tunnel safety required by or agreed upon with the authorities.
Increased tunnel availability through model based decision support
Tunnel safety depends on several systems operating as designed at the required moment. Tunnel Technical Installations (TTI) may function as expected in new tunnels but their functionality will decrease with aging. Maintenance processes help keep the tunnel in good condition, but it is hard to determine the actual safety level. For example, it is difficult to determine if a TTI defect can wait a few days for repair or should be repaired immediately with the tunnel closed. This is where model-based decision support comes in. This article describes the Tunnel Safety Indicator, a model in use in the tunnels of the Dutch cargo train link between Rotterdam seaport and the German border which is now being built into all the other Dutch railway tunnels. Application of this model in road tunnels has just started with a first pilot project. The top level of the model consists of the four Lines of Defense, i.e. prevention, mitigation, evacuation and rescue. These Lines of Defense must be available at a certain minimum level in order to consider a tunnel safe and available for traffic. Within the tunnel complex, these Lines are maintained by Safety Functions (2nd level). In the Dutch situation there are approximately 45 Safety Functions for a two-tube tunnel. These Safety Functions are fulfilled by the tunnel's technical systems (3rd level) and ultimately by the technical components (4th level) in a tunnel (Figure 1). This model enables the definition of business rules regarding the deterioration of installations and the ultimate effect of deterioration on the more abstractly defined level of tunnel safety. Using the output from the technical installations (SCADA) combined with the results of regular inspections, the Tunnel Safety Indicator provides an accurate and objective indicator of the tunnel safety required by or agreed upon with the authorities.
Increased tunnel availability through model based decision support
Oerlemans, D.C. (author) / Worm, E.W. (author)
2014
8 Seiten, Bilder, 2 Quellen
Conference paper
English
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