Data di Pubblicazione:
2023
Abstract:
During the last decades, significant efforts have been made to define appropriate Structural Health Monitoring (SHM) frameworks based on the vibration signatures collected by accelerometers. Data-driven approaches are increasingly adopted for damage detection through the identification of anomalies in the distribution of the frequencies. This paper analyzes the long-term monitoring data acquired from a system installed on the Matilde tower in Livorno (Italy). The tower is a historic masonry structure monitored since the end of 2018 using a wireless sensor network developed during the MOSCARDO project.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Structural health monitoring; Data-driven methods; Damage detection; Environmental parameters; Automated operational modal analysis; Natural frequencies
Elenco autori:
Gurioli, Gianmarco; Girardi, Maria; Padovani, Cristina; Pellegrini, Daniele
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