Multiple repair scheduling of Markovian deteriorated concrete structure

Abstract

Choice of suitable repair method at proper time can extend lifetime of infrastructure and can reduce overall cost, saves revenue of the government. Maintenance optimization is the most cost-effective solution for infrastructure management system, used by bridge management system (BMS) of several countries. In this paper, deterioration of bridge deck by chloride diffusion is considered as a cause of failure. Monte Carlo simulation was used to develop transition probability matrix that was further used to predict future state through Markov process. This paper attempts to tabulate a schedule of multiple repair required by a Markov-deteriorated concrete structure. Challenges of incorporating different levels of cost and improvements to the facilities, imposed by the multiple repair at different age, were solved by the shortest path algorithm. Recursive equations, in excel solver platform, were used to update failure state of the facility to visualize the necessity of the repair actions. Sensitivity on unequal capacity of failure reduction and non-identical cost incurred by multiple repair methods are presented to estimate maintenance schedule. However, the model, described in this paper may be used as an efficient tool for infrastructure asset management.