Information supported resilience management of bridges

Resilient systems provide sustained functionality and to do so they must be able to generate capacity for adaptation, recovery, and efficient organization after disturbance events. In support of resilience informed management of infrastructure systems, the authors proposed a framework (Turksezer et al., 2020a) utilizing resilience indicators that inform decision makers on the system characteristics and performances and thereby supports ranking of decision alternatives for the management of the systems. In this paper, we illustrate the application of the proposed approach through a principal example addressing an existing bridge subject to scour during flash flood events. To this end we model the system using Bayesian Probabilistic Nets, whereby the flow of information between systems states and indicators and not least the hierarchical dependencies between them become explicit. The example includes a number of decision alternatives on how to manage the system characteristics and thereby supports ranking of decision alternatives.