The paper summarizes the results obtained during the continuous dynamic monitoring of two iconic Cultural Heritage towers -the Gabbia tower in Mantua and the San Pietro bell-tower in Perugia. The two towers, exhibiting different architectural and structural characteristics, were monitored over a similar time period (of about 2 years) by Politecnico di Milano and University of Perugia, respectively, and similar methodologies of automated operational modal analysis and structural health monitoring were adopted by the two Research Teams. During the monitoring, both the towers underwent far-field seismic events which caused slight structural damage. In both case studies, the limited number of accelerometers installed in the towers allows the tracking of automatically identified modal frequencies and to distinguish between environmental and damage effects on the natural frequencies. Furthermore, the occurrence of structural anomalies corresponding to small drops in frequencies is confirmed through multivariate statistical analysis, based on principal component analysis and novelty detection.

Detecting earthquake-induced damage in historic masonry towers using continuously monitored dynamic response-only data

Gentile, Carmelo;Saisi, Antonella;
2017

Abstract

The paper summarizes the results obtained during the continuous dynamic monitoring of two iconic Cultural Heritage towers -the Gabbia tower in Mantua and the San Pietro bell-tower in Perugia. The two towers, exhibiting different architectural and structural characteristics, were monitored over a similar time period (of about 2 years) by Politecnico di Milano and University of Perugia, respectively, and similar methodologies of automated operational modal analysis and structural health monitoring were adopted by the two Research Teams. During the monitoring, both the towers underwent far-field seismic events which caused slight structural damage. In both case studies, the limited number of accelerometers installed in the towers allows the tracking of automatically identified modal frequencies and to distinguish between environmental and damage effects on the natural frequencies. Furthermore, the occurrence of structural anomalies corresponding to small drops in frequencies is confirmed through multivariate statistical analysis, based on principal component analysis and novelty detection.
PROCEDIA ENGINEERING
Automated OMA; Damage detection; Environmental effects; Masonry tower; Modal frequencies; Structural Health Monitoring; Engineering (all)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1045556
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