Possible Methodology for Probabilistic Assessment of Bridge Safety Against Collisions
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2024-04-01
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Edition:Final Report
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Abstract:This report presents a possible stochastic methodology that can be used in identifying bridges with greater probability of failure from vehicular collisions. To meet this objective, this report first outlines the design of bridges against these collisions in the United States and compares against the Eurocode design methodology. Existing experimental studies and data on heavy truck collisions with bridge systems were also reviewed and analyzed to develop safety metrics and quantify the probabilistic bridge failure. In 2021, the National Bridge Inventory (NBI) had over 618,456 bridges and culverts registered in its U.S. bridge database, of which 13,963 bridges and culverts are in Virginia. Data shows that 93,000 bridges in the United States and 2,689 bridges in Virginia have one or more traffic lanes under the structure. Data for the Virginia bridges were collected and analyzed within a methodology for classifying bridges most vulnerable to heavy truck collisions and the resulting structural failures. Given the on-site availability of the three specified data types, 17 bridges were selected from the commonwealth of Virginia to form a test-bed study site. Finally, stochastic models were formulated for estimating the probability of bridge failure. Research findings may interest those connected to bridge programs at the Federal, State, and local agencies.
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