Models of bridge deck deterioration with improved predictive power can provide management strategies that will optimize allocation the available, typically limited, budget transportation agencies in a more efficient manner. In turn, this lead to improvement overall condition bridges. To end, study developed novel statistical hazard model using generalized gamma accelerated failure time attribut...

This study developed an ensemble-learning-based bridge deck defect condition prediction model to help managers make more rational and informed steel maintenance decisions. Using the latest data from NBI database for 2021, this first used ADASYN solve imbalance problems in data, then built six ensemble learning models (RandomForest, ExtraTree, AdaBoost, GBDT, XGBoost, LightGBM) a grid search met...

Optimization of the duration Structural Health Monitoring (SHM) campaigns is rarely performed. This article provides a utility-based solution to posteriorly determine: i) optimal monitoring durations and ii) extension service life welds on steel bridge deck. The approach illustrated with case study focusing remaining fatigue estimation orthotropic deck Great Belt Bridge, in Denmark. identificat...