For reinforced concrete bridges, corrosion monitoring is increasingly considered for assessing the state of the structure. Data from corrosion sensors can be used to update the estimate of the corrosion probability and, ultimately, to update the reliability of the structure. In this paper, a Bayesian updating procedure is proposed and implemented for this purpose. The procedure accounts for the spatial correlation of the corrosion process in the structure and enables one to compute the reliability of a bridge conditional on the corrosion monitoring data. The bridge reliability model is based on a simplified probabilistic model calibrated to code requirements. The procedure is demonstrated by an application to a highway bridge. Special focus is given to investigating the influence of the spatial correlation of corrosion on the reliability updating     «

For reinforced concrete bridges, corrosion monitoring is increasingly considered for assessing the state of the structure. Data from corrosion sensors can be used to update the estimate of the corrosion probability and, ultimately, to update the reliability of the structure. In this paper, a Bayesian updating procedure is proposed and implemented for this purpose. The procedure accounts for the spatial correlation of the corrosion process in the structure and enables one to compute the relia...     »