Maria Pina Limongelli | Associate Professor, Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Milan, Italy
November 17, 2022 | 11h30-12h30 | Room U.0.6 | https://videoconf-colibri.zoom.us/j/93285885760 | Lusófona University, Lisbon, Portugal
Abstract: The management of civil infrastructures in the aftermath of a disruptive event is a concern for decision makers, which have to choose quickly among alternative actions with limited knowledge on the actual structural conditions. Structural Health Monitoring (SHM) information can support these decisions. However, information comes with a cost and the relevant benefit must be assessed before the acquisition of the SHM system is decided. A powerful tool to estimate the benefits and to optimize the SHM system design for specific applications is the Value of Information (VoI) analysis based on pre-posterior Bayesian analysis. In the presentation the theory will be shortly described and demonstrated through a couple of exemplary case studies.