Long-term monitoring of a masonry tower with wireless accelerometers
Zini G., Marafini F., Monchetti S., Betti M., Facchini L., Bartoli G., Girardi M., Gurioli G., Padovani C., Pellegrini D.
Structural health monitoring Data-driven methods Damage detection Environmental parameters Automated operational modal analysis Natural frequencies
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.
Source: COMPDYN 2023 - 9th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Athens, Greece, 12-14/06/2023
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@inproceedings{oai:it.cnr:prodotti:482886,
title = {Long-term monitoring of a masonry tower with wireless accelerometers},
author = {Zini G. and Marafini F. and Monchetti S. and Betti M. and Facchini L. and Bartoli G. and Girardi M. and Gurioli G. and Padovani C. and Pellegrini D.},
booktitle = {COMPDYN 2023 - 9th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Athens, Greece, 12-14/06/2023},
year = {2023}
}
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