United States Department of Transportation
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Edition:Research Brief
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Abstract:Bridges and culverts deteriorate with time and use. While in the past, various data-driven deterioration models, including Bayesian models, probit model, and Markov chains are proposed in the literature to model bridge deterioration, these models either suffer from low accuracy or are too complex to be applicable. Recently deep learning (DL) AI models are shown to significantly outperform other analytical modeling methodologies in a variety of application domains. In the past we have developed several novel DL models for enhanced bridge and culvert deterioration forecasting. Our results show that DL-based models outperform other existing models.
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