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- W645315068 abstract "Barge-bridge collision has been considered a major contributor to bridge damage in the United States. Barge-bridge collisions may cause partial damage to bridges that may be invisible but threaten the bridge's safe operation. After each collision accident, the bridge and the navigation waterway are usually closed for inspection and assessment of the impact of the collision on bridge structural integrity. This can lead to significant economic losses due to substantial traffic delay or detour. Quick and reliable assessment of bridge post-collision condition can minimize those economic losses. This paper introduces a novel probabilistic approach to bridge post-collision condition assessment based on Bayesian probabilistic framework, which is aimed to promptly identify collision damages and rigorously address associated uncertainties by using real-time vibration-based measurement data. The presented approach is the first attempt to incorporate the realistic bridge finite element model into an advanced statistical sampling method of the transitional Markov chain Monte Carlo to draw a sequence of statistical samples that can be used to approximate the updated probabilistic distributions of damage extents and locations for decision-making. The applicability and effectiveness of the proposed approach are illustrated by using a simulation example of a prototype bridge. Simulation results indicate that the proposed approach has potential capacity for determining the bridge damage extent and location and their statistical characteristics. Finally, the future research need for practical application of the proposed approach is discussed." @default.
- W645315068 created "2016-06-24" @default.
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- W645315068 date "2013-01-01" @default.
- W645315068 modified "2023-09-23" @default.
- W645315068 title "Novel Probabilistic Approach to Damage Identification of Bridge Piers Post Vessel Collision Based on Vibration Measurements" @default.
- W645315068 hasPublicationYear "2013" @default.
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