Abstract
The results of the long-term vibration monitoring program, carried out on the bell-tower of Santa Maria del Carrobiolo in Monza (Italy), are reported in the paper. The dynamic monitoring was motivated by the weak structural layout of the historic building, with two fronts of the tower being supported by the load-bearing structures of the apse and South aisle of the adjacent church. The main results of the dynamic monitoring for a period of one year highlight distinctive behavior of the bell-tower, such as the frequency veering exhibited by the lower modes with increased temperature. Subsequently, in order to mitigate the contributions of the environmental effects on resonant frequencies, the application of the multiple linear regression (MLR) and the principal component analysis (PCA) tools have been investigated.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Magnani Pucci P, Colombo M, Marsili G (1997) The church of santa maria di carrobiolo (in Italian), SPA Tipografica Sociale
Saisi A, Gentile C, Ruccolo A (2017) Continuous monitoring of a challenging heritage tower in Monza, Italy. J Civil Struct Health Monit. https://doi.org/10.1007/s13349-017-0260-5
Mason RL, Gunst RF, Hess JL (2003) Statistical design and analysis of experiments with applications to engineering and science. Wiley, New York
Jolliffe IT (2002) Principal component analysis. Springer, New York
Brincker R, Zhang L, Andersen P (2001) Modal identification of output-only systems using frequency domain decomposition. Smart Mater Struct 10:441–445. https://doi.org/10.1088/0964-1726/10/3/303
Peeters B, De Roeck G (1999) Reference-based stochastic subspace identification for output-only modal analysis. Mech Syst Signal Proc 13(6):855–878. https://doi.org/10.1006/mssp.1999.1249
Busatta F (2012) Dynamic monitoring and automated modal analysis of large structures: methodological aspects and application to a historic iron bridge, Ph.D. thesis, Politecnico di Milano, Milan, Italy
Cabboi A, Magalhães F, Gentile C, Cunha A (2017) Automated modal identification and tracking: application to an iron arch bridge. Struct Control Health Monit 24(1):e1854. https://doi.org/10.1002/stc.1854
Ramos LF, Marques L, Lourenço PB, DeRoeck G, Campos-Costa A, Roque J (2010) Monitoring historical masonry structures with operational modal analysis: two case studies. Mech Syst Signal Pr 24(5):1291–1305. https://doi.org/10.1016/j.ymssp.2010.01.011
Gentile C, Guidobaldi M, Saisi A (2016) One-year dynamic monitoring of a historic tower: damage detection under changing environment. Meccanica 51:2873–2889. https://doi.org/10.1007/s11012-016-0482-3
Ubertini F, Comanducci G, Cavalagli N et al (2017) Environmental effects on natural frequencies of the San Pietro bell tower in Perugia, Italy, and their removal for structural performance assessment. Mech Syst Signal Pr 82:307–322. https://doi.org/10.1016/j.ymssp.2016.05.025
Cabboi A, Gentile C, Saisi A (2017) From continuous vibration monitoring to FEM-based damage assessment: application on a stone-masonry tower, Constr Build Mater 156:252–265. https://doi.org/10.1016/j.conbuildmat.2017.08.160
Benedettini F, Zulli D, Alaggio R (2009) Frequency-veering and mode hybridization in arch bridges. In: Proceedings of the 27th international modal analysis conference (IMAC-XXVII), Orlando, USA
Ljung L (1999) System identification: theory for the user. Prentice Hall, New Jersey
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 RILEM
About this paper
Cite this paper
Gentile, C., Ruccolo, A., Saisi, A. (2019). Long-Term Vibration Measurements to Enhance the Knowledge of a Historic Bell-Tower. In: Aguilar, R., Torrealva, D., Moreira, S., Pando, M.A., Ramos, L.F. (eds) Structural Analysis of Historical Constructions. RILEM Bookseries, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-319-99441-3_240
Download citation
DOI: https://doi.org/10.1007/978-3-319-99441-3_240
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99440-6
Online ISBN: 978-3-319-99441-3
eBook Packages: EngineeringEngineering (R0)