Abstract
The resilience of tunnels can have a significant impact on the efficiency of the entire transportation network. The ability to accurately assess the resilience of tunnels is important for tunnel owners and stakeholders when they evaluate the cost-benefit of the investment made and the monetary value of future maintenance and upgrade activities. In this paper, a simple and direct measurement of tunnel functionality was proposed with the focus on the usage of the tunnel. An ideal data collection framework for tunnels was proposed to support the calculation of tunnel functionality, as well as additional data-driven analysis that seeks a correlation between tunnel design and operation parameters with its resilience. As an illustrative example, tunnel operational data for large tunnels in Colorado were summarized and compared with the proposed framework to demonstrate the gap between existing data collection status and the ideal condition.
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Acknowledgements
The authors would like to acknowledge the financial support from U.S. Department of Transportation (DOT) through University Transportation Center for Underground Transportation Infrastructure (UTC-UTI) (Grant No. 69A3551747118). The opinions and conclusions presented in this paper is that of the authors and do not represent that of the sponsors.
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Khetwal, S., Pei, S., Gutierrez, M. (2020). A Data-Driven Approach for Direct Assessment and Analysis of Traffic Tunnel Resilience. In: Correia, A., Tinoco, J., Cortez, P., Lamas, L. (eds) Information Technology in Geo-Engineering. ICITG 2019. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-32029-4_15
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