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Civil and Environmental Engineering
And Concrete Deck Girder (CODEKG) had the least number.uncertainty in the number of load posted bridges was estimated by training random forests using different bootstrap samples
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Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru
Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru
LSU Master's Theses
1600 (12%) of Louisiana's 13,000 bridges that allow the passage of people, goods, and services are load posted, meaning they are deemed incapable of securely carrying all legal loads. A machine learning framework for estimating the number of load-posted bridges within a regional bridge portfolio would be extremely valuable in the future for allocating essential resources during long-term planning. A framework of this type is necessary since a significant proportion of the bridges are load posted. Furthermore, deterioration due to aging and future increases in legal loads can compound this situation. In this setting, there is a lack of data-driven …