ABSTRACT
ABSTRACT Inspection and maintenance (I&M) costs are a significant portion of the total life-cycle cost of large structures and infrastructures. Inspections reduce the uncertainty associated with deterioration processes, such as fatigue or corrosion, that might lead to structural failure. Stochastic deterioration models can be used to inform I&M strategies through risk-based inspection (RBI) planning. A methodology for optimal I&M planning for large structural systems was developed in (Luque & Straub 2017, Bismut et al. 2017) and accounts for the interdependence and correlations among structural components. It is here extended to enable adaptive planning, whereby the initial optimal I&M plan is adapted through learning from past observations and deterioration history of the structure. The benefit of the adapted strategy is evaluated by comparing the expected life-cycle costs between the initial optimal strategy and the adapted optimal strategy. The adaptive I&M planning is applied to a multi-member structural frame subject to fatigue.
