{"id":{"repo_id":"rice","oai_identifier":"oai:repository.rice.edu:1911/70204"},"canonical_url":"https://search.dev.ndltd.org/etd/rice/oai:repository.rice.edu:1911/70204","repository":{"repo_id":"rice","name":"Rice University","base_url":"https://repository.rice.edu/server/oai/request"},"display":{"title":"Multi-Failure Mode Risk Assessment of the Houston/Galveston Bridge System to Hurricane Threats","abstract":"This research implements the first Houston/Galveston area hurricane risk assessment of bridges for multiple failure modes: bridge deck uplift and bridge scour. Due to recent hurricane damage of bridges, emergency managers need to understand the potential state of the bridge network immediately following a storm for effective mitigation and post-event planning. To that end, this study builds a new database of bridge information necessary for vulnerability modeling, adapts current deterministic models of bridge deck uplift and scour for a probabilistic framework and expands the scour models to include a qualitative estimate for embankment scour. The study area bridges are tested under various hurricane scenario events to reveal the likelihood of damage. Potential applications include retrofit prioritization, real-time spatial damage modeling and better informed preparation. By understanding the risk hurricanes pose to the bridge system, emergency officials can better plan rescue and recovery efforts before a storm impacts the Texas coast.","abstract_html":"This research implements the first Houston/Galveston area hurricane risk assessment of bridges for multiple failure modes: bridge deck uplift and bridge scour. Due to recent hurricane damage of bridges, emergency managers need to understand the potential state of the bridge network immediately following a storm for effective mitigation and post-event planning. To that end, this study builds a new database of bridge information necessary for vulnerability modeling, adapts current deterministic models of bridge deck uplift and scour for a probabilistic framework and expands the scour models to include a qualitative estimate for embankment scour. The study area bridges are tested under various hurricane scenario events to reveal the likelihood of damage. Potential applications include retrofit prioritization, real-time spatial damage modeling and better informed preparation. By understanding the risk hurricanes pose to the bridge system, emergency officials can better plan rescue and recovery efforts before a storm impacts the Texas coast.","abstract_has_math":false,"creators":["Arnold, Candase Dawn"],"institution":"Rice University","degree_name":"Master of Science","degree_level":"Masters","degree_discipline":"Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Padgett, Jamie E."],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012","date_published":"2012","updated_at":"2026-07-24T04:10:19Z","subjects":["Applied sciences","Civil engineering"],"languages":["eng"],"rights":["Copyright is held by the author, unless otherwise indicated. 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To that end, this study builds a new database of bridge information necessary for vulnerability modeling, adapts current deterministic models of bridge deck uplift and scour for a probabilistic framework and expands the scour models to include a qualitative estimate for embankment scour. The study area bridges are tested under various hurricane scenario events to reveal the likelihood of damage. Potential applications include retrofit prioritization, real-time spatial damage modeling and better informed preparation. 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Due to recent hurricane damage of bridges, emergency managers need to understand the potential state of the bridge network immediately following a storm for effective mitigation and post-event planning. To that end, this study builds a new database of bridge information necessary for vulnerability modeling, adapts current deterministic models of bridge deck uplift and scour for a probabilistic framework and expands the scour models to include a qualitative estimate for embankment scour. The study area bridges are tested under various hurricane scenario events to reveal the likelihood of damage. Potential applications include retrofit prioritization, real-time spatial damage modeling and better informed preparation. 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