In this paper the study of the analysis of the data coming from the permanent monitoring system of Palazzo Regione Lombardia, one of the tallest buildings in Milano is presented. The system works acquiring both the vibrations of the building and its static behaviour. The vibration data are used to carry out continuous modal analysis to the aim of detecting possible changes of the structure. Two algorithms for modal parameter analysis are presented and compared through Monte Carlo simulations. The results of this comparison allowed to choose the best data analysis procedure to be used on the real data measured under operating conditions. The first results coming from the modal parameter extraction are presented.

Performance characterization of modal identification algorithms, the case of automated modal analysis of Palazzo Lombardia

Manzoni, Stefano;
2018-01-01

Abstract

In this paper the study of the analysis of the data coming from the permanent monitoring system of Palazzo Regione Lombardia, one of the tallest buildings in Milano is presented. The system works acquiring both the vibrations of the building and its static behaviour. The vibration data are used to carry out continuous modal analysis to the aim of detecting possible changes of the structure. Two algorithms for modal parameter analysis are presented and compared through Monte Carlo simulations. The results of this comparison allowed to choose the best data analysis procedure to be used on the real data measured under operating conditions. The first results coming from the modal parameter extraction are presented.
2018
Conference Proceedings of the Society for Experimental Mechanics Series
9783319744209
Continuous monitoring; Health monitoring; OMA; Uncertainty estimation; Vibration; Engineering (all); Computational Mechanics; Mechanical Engineering
File in questo prodotto:
File Dimensione Formato  
28_van.pdf

Accesso riservato

: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 1 MB
Formato Adobe PDF
1 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1078179
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact