Structural Health Monitoring (SHM) techniques enable continuously acquiring real-time information that can support asset management decisions. Despite the several advantages provided by the availability of continuously updated information, the adoption of these systems still encounters difficulties to be implemented at a large scale due to their perceived high cost and the difficulty to estimate the return on investment before their

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