Optimal adaptive inspection and maintenance planning for deteriorating structural systems

Optimizing inspection and maintenance (I&M) plans for a large deteriorating structure is computationally challenging task, in particular if one considers interdependences among its components. This due to the sheer number of possible decision alternatives over lifetime uncertainty surrounding deterioration processes, structural performance outcomes actions. To address this challenge, Luque Straub (2019) proposed heuristic approach which I&M systems are defined through set simple rules. Here, we formalize optimization these rules extend enable adaptive planning. The initially optimal plan successively adapted throughout service life, based on past monitoring results. methodology uses stochastic models accounts interdependence heuristic-based planning illustrated frame subjected fatigue.