Dynamic characterization of tower structures by means of interferometry measurements

G. Bongiovanni, A. Brunetti, P. Clemente, C. Conti, P. Mazzanti, V. Verrubbi

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

The Aurelian Column has been investigated by the ENEA Research Center and NHAZCA S.r.l. (Spin-off company of "Sapienza" University of Rome) in order to characterize its dynamic properties for the assessment of its health status. In one day field work, a seismometric array made up of 24 short period (1 s) single channel sensors have been installed from the base of the column up to its top and centralized to a single acquisition unit. Two interferometric coherent radar sensors were also temporary installed at a distance of 25 m from the base of the column in the surrounding square in two orthogonal directions, in order to integrate seismometric data. Main achieved results on the dynamic characteristics of the column are: two dominating translational frequencies very close each to the other, 1.26 and 1.32 Hz. By the analysis of the modal shapes for the achieved resonance frequencies, an anomaly is detected at about 25 m height, thus driving to hypothesize a mechanical discontinuity of the structure.
Original languageEnglish
Publication statusPublished - 2015
Externally publishedYes
Event7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015 - Torino, Italy
Duration: 1 Jan 2015 → …

Conference

Conference7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015
CountryItaly
CityTorino
Period1/1/15 → …

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All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Civil and Structural Engineering
  • Artificial Intelligence

Cite this

Bongiovanni, G., Brunetti, A., Clemente, P., Conti, C., Mazzanti, P., & Verrubbi, V. (2015). Dynamic characterization of tower structures by means of interferometry measurements. Paper presented at 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015, Torino, Italy.