Deterioration prediction of superstructure elements of community buildings in Australia using a probabilistic approach

Buildings are complex infrastructure assets and optimization of maintenance and rehabilitation actions require a well-considered asset management model. Community Buildings as one of the major investments of the local government in Australia have a large proportion of demand, expectation, and consideration among the local council's assets. The following paper introduces a building asset management (BAM) framework and a building element hierarchy which facilitates the building asset management and inspection strategies. Data gathering and preparation will be discussed followed by the calibration of a probabilistic deterioration prediction approach based on the Markov process. The Markov transition matrices have been derived for building elements based on the condition data sourced from local councils. The transition matrices for superstructure elements are presented, reviewed, and compared.