Cyberes: Cyber-Physical System Modelling for Resilience Management of bridges

Information plays a pivotal role in the resilient management of bridge systems, connecting and supporting decisions at the different hierarchical levels and across the several domains involved in the decision process. However, the increasing interconnectedness and interdependence that information enables also leads to the emergence of safety and reliability problems related to the quality of the information. In this project, emphasis will be on information from Structural Health Monitoring. Resilience metrics and models for information quality will be developed and integrated into a Bayesian Probabilistic Network that will be the base of a decision support tool (DST) for the optimization of monitoring systems for the resilience management of bridges.