Source Publication Title
INSPIRE-University Transportation Center Webinars
25 Sep 2019, 11:00 am
Across the country, bridge structures are aging with use commonly extending beyond their original design lives. Decisions to repair, retrofit or rehabilitate these structures will support continued reliability and resilience of these structures. To better understand the states of the bridges at any point in time, there are new technologies to inspect, monitor and assess bridge conditions.
To effectively use the results of these inspections and monitoring activities, we need an understanding of the relation between varying inspection parameters and the predicted performance of bridge structures.
In this seminar, we will describe methods to use inspection data to update assessment of bridge performance, focusing on corrosion inspection data. Through bridge model updating, we account for the effects of corrosion, including reduction of longitudinal and transverse reinforcement and bond deterioration between the steel and concrete through corrosion-induced cracking in reinforced concrete bridges. Corrosion is measured by percent mass loss. The impact of measured corrosion parameters on performance is assessed with results quantifying the increase in risk or vulnerability of these structures as corrosion levels increase. Comparing results across bridges supports risk-informed decisions in the management of bridges to protect these structures and ensure their reliability and resilience under future loading and hazard scenarios.
Dr. Iris Tien joined the faculty in the School of Civil and Environmental Engineering at the Georgia Institute of Technology in 2014 after receiving her Ph.D. in Civil Systems Engineering from the University of California, Berkeley. Dr. Tien’s research interests are in probabilistic methods for modeling and reliability assessment of civil infrastructure systems. She has a unique interdisciplinary background that encompasses traditional topics of civil engineering, sensing and data analytics, stochastic processes, probabilistic risk assessment, and decision making under uncertainty. Her work on interdependent infrastructure systems modeling and analysis has twice won best paper awards in resilient critical infrastructure. Dr. Tien’s research has been funded by the National Science Foundation, Department of Homeland Security, and U.S. Department of Transportation. Dr. Tien has been selected by the National Academy of Engineering to participate in three Frontiers of Engineering Symposia. She was also selected to organize the session on Resilient and Reliable Infrastructure at the U.S. Frontiers of Engineering Symposium.
Tien, Iris, "Data to Risk-Informed Decisions through Bridge Model Updating" (2019). INSPIRE Archived Webinars. 9.
Civil, Architectural and Environmental Engineering
INSPIRE - University Transportation Center
Video - Presentation
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