Post-earthquake Serviceability Assessment of RC Bridge Columns Using Computer Vision
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2021-12-30
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Edition:Final Report
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Abstract:Modern seismic design codes ensure a large displacement capacity and prevent total collapse for bridges. However, this performance objective is usually attained at the cost of damage to target ductile members. For reinforced concrete (RC) bridges, the columns are usually the main source of ductility during an earthquake in which concrete cover, core, and reinforcement may damage, and the column may experience a large permanent lateral deformation. A significant number of the US bridges will experience large earthquakes in the next 50 years that may result in the bridge closure due to excessive damage. A quick assessment of bridges immediately after severe events is needed to maximize serviceability and access to the affected sites, and to minimize casualties and costs. The main goal of this project was to accelerate post-earthquake RC bridge column assessment using “computer vision”. When sending trained personnel to the affect sites is limited or will take time, local personnel equipped with an assessment software (on various platforms such as mobile applications, cloud-based tools, or built-in with drones) can be deployed to evaluate the bridge condition. The project in this phase was focused on the damage assessment of modern RC bridge columns after earthquakes. Substandard columns, other bridge components, and other hazards were not included.
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