Corrosion is a common phenomenon in engineering structures; examples include corrosion of the reinforcement in RC structures, corrosion of steel plates in ship hulls or localized corrosion in pipelines. These corrosion mechanisms are generally subject to random spatial variability, due to random changes in in-fluencing factors over space. When assessing the effect of inspections and measurements on the reliability of such structures, it is essential to account for this spatial variability: Due to correlation among influencing fac-tors at separate points, the measurement results obtained at one location contain information on the corrosion process at other locations. In this paper, a novel algorithm for reliability updating [Straub D. Probabilistic En-gineering Mechanics, 26(2): 254–258, 2011] is adopted to the spatial reliability analysis of RC corrosion con-ditional on measurements. The algorithm is computationally efficient and robust, thus facilitating the applica-tions to reliability updating of large-scale structural systems subject to corrosion. The method is applied to an example concrete slab subject to chloride induced corrosion of the reinforcement, for which spatial measure-ments of concrete cover depth and chloride profiles are available.     «

Corrosion is a common phenomenon in engineering structures; examples include corrosion of the reinforcement in RC structures, corrosion of steel plates in ship hulls or localized corrosion in pipelines. These corrosion mechanisms are generally subject to random spatial variability, due to random changes in in-fluencing factors over space. When assessing the effect of inspections and measurements on the reliability of such structures, it is essential to account for this spatial variability: Due...     »