During the last decades, significant efforts have been made to define appropriate Structural Health Monitoring (SHM) frameworks based on the vibration signatures collected by accel- erometers. 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.
LONG-TERM MONITORING OF A MASONRY TOWER WITH WIRELESS ACCELEROMETERS / Giacomo Zini, Francesca Marafini, Silvia Monchetti, Michele Betti, Luca Facchini, Gianni Bartoli, Maria Girardi, Gianmarco Gurioli, Cristina Padovani, Daniele Pellegrini,. - STAMPA. - (2023), pp. 1687-1696. (Intervento presentato al convegno COMPDYN 2023 9th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering tenutosi a Athens nel 12-14 / 06 / 2023) [10.7712/120123.10511.20638].
LONG-TERM MONITORING OF A MASONRY TOWER WITH WIRELESS ACCELEROMETERS
Giacomo Zini;Francesca Marafini;Silvia Monchetti;Michele Betti;Luca Facchini;Gianni Bartoli;Gianmarco Gurioli;
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 accel- erometers. 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.File | Dimensione | Formato | |
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