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18 April 2022 Physics-informed survival modeling of concrete bridge decks
Antti Valkonen, Branko Glisic
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Proceedings Volume PC12046, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2022; PC1204608 (2022) https://doi.org/10.1117/12.2615573
Event: SPIE Smart Structures + Nondestructive Evaluation, 2022, Long Beach, California, United States
Abstract
Deterioration modeling is a key task in bridge maintenance planning. Advanced deterioration modeling offers ability to focus maintenance action to where and when they are most needed. In this paper, we use a neural network survival model to estimate the time bridge decks remain in a given condition. We explore a flexible method of modeling bridge deck survival probabilities, aimed at informing the integrity management process. We combine the neural network approach with the traditional physical deterioration models to create a physics-informed survival model.
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Antti Valkonen and Branko Glisic "Physics-informed survival modeling of concrete bridge decks", Proc. SPIE PC12046, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2022, PC1204608 (18 April 2022); https://doi.org/10.1117/12.2615573
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KEYWORDS
Bridges
Data modeling
Neural networks
Databases
Statistical analysis
Inspection
Reliability
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