Publication Date:
2019-03-26
Description:
This paper aims at assessing the influence of environmental parameters on the modal characteristics of age–old masonry constructions. The results of a long–term ambient vibration monitoring of the San Frediano bell tower in Lucca (Italy) are reported. The tower, dating back to the 11th century, has been fitted along its height with four triaxial seismometric stations, which were left active for about one year. Data from the monitoring system have been processed via the Stochastic Subspace Identification Method in order to identify the tower’s modal characteristics and their variations over the year. The dependence of the tower’s frequencies on the ambient temperature was first studied and simulated via simple auto–regressive models. Then, some output–only models based on the principal component analysis (PCA) were applied, under the hypotheses of both linear and nonlinear (Kernel PCA) dependence of the natural frequencies on the unknown environmental parameters. The results indicate PCA to be an effective tool for detecting changes in the dynamic characteristics of masonry constructions.
Description:
This research has been partially supported by the Region of Tuscany
(Project “MOSCARDO - ICT technologies for structural monitoring of
age-old constructions based on wireless sensor networks and drones”,
2016-2018).
Description:
Published
Description:
175-187
Description:
5T. Sismologia, geofisica e geologia per l'ingegneria sismica
Description:
JCR Journal
Keywords:
Masonry towers
;
Structural health monitoring
;
Stochastic subspace identification method
;
Environmental variability
;
Experimental models
;
Principal component analysis
;
Seismology for enineering
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
article
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