Structural Health Monitoring (SHM) techniques enable continuously acquiring information that can support asset management decisions. Despite their several advantages the adoption of SHM systems at a large scale still encounters difficulties due to their perceived high cost and the difficulty to estimate the return on investment before their implementation. The Value of Information (VoI) analysis from Bayesian decision analysis can
