LAUSR

AbstractIn this paper, an application of statistical random sampling and probabilistic Bayesian updating for planning building facade inspection is introduced. The application method presented is specifically for facades made up of terra-cotta blocks, for which a mode of damage is deterioration in their metal anchors as a result of corrosion. Using this method, an initial probability distribution for the proportion of blocks with damaged metal anchors is assumed; a limited number of blocks is then randomly selected, the blocks are removed, and the state of damage in their metal anchors is investigated. Based on the results of this initial investigation, a Bayesian approach is used for updating information on the proportion of blocks with damaged metal anchors to modify the damage probability distribution, and a damage index is then introduced, based on the updated results. This index can be used as a decision-making tool in determining the state of the health of the facade and planning for the next step i...