United States Department of Transportation
i
Real-Time Prediction of Storm Surge and Wave Loading on Coastal Bridges
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2021-02-01
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[PDF-1.39 MB]
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Corporate Contributors:Rutgers University. Center for Advanced Infrastructure and Transportation ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; University at Buffalo. Institute of Bridge Engineering
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Edition:January 1, 2020 – December 31, 2020
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Abstract:Coastal bridges exhibit significant susceptibility to damages caused by storm surges and waves, which requires probabilistic models to quantify the bridge vulnerability for risk assessment and mitigation activities. This study presents an efficient risk analysis framework integrating hazard analysis and fragility analysis for coastal bridges under storm surges and waves. For hazard analysis, the synthetic 10,000-year hurricane records, together with a deep neural network (DNN)-based surrogate model for surge and wave response, are utilized to obtain the statistical characteristics of the surge elevation and wave height at the bridge site. For fragility analysis, a computationally efficient methodology is utilized to obtain the conditional failure (deck unseating) probability for each combination of the two intensity measures (i.e., surge elevation and wave height). To demonstrate the proposed framework, a case study on simply-supported coastal bridges in New York state is conducted for risk assessment of deck unseating subjected to storm surges and waves.
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