Operational Modal Analysis (OMA) techniques are nowadays well established methods to support the Structural Health Monitoring field in Civil Engineering. However, what would be the best procedure to optimize the analy...
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Operational Modal Analysis (OMA) techniques are nowadays well established methods to support the Structural Health Monitoring field in Civil Engineering. However, what would be the best procedure to optimize the analysis process on a network of hundreds of infrastructures undergoing continuous monitoring and diagnostics control? Innovative data-processing approaches encompass the definition of strategies of cross-controls and combinations of algorithms that allow to respond to the need for both a prompt anomaly or damage identification and a more refined analysis. In this paper attention is focused to a network of more than 150 monitored infrastructures, detailing how the diagnostics process combines the fusion of simple vibrational control algorithms and frequency peak-picking routines for semi-real time alerting with more complex OMA techniques for the initial system identification during the finite element (FE) model updating and for periodic controls of modal shape variations over time. A representative case study of a selected bridge under continuous monitoring will be presented, showing how the OMA techniques are playing a key role in detecting structural behavior variations up to the identification of damage progression to foster proactive maintenance interventions.
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