Structural health monitoring is a crucial issue in areas with different hazard sources, such as Italy. Among non-invasive monitoring techniques, remote sensing provides useful information in supporting the management process and safety evaluations, reducing the impact of disturbances on the functionality of construction systems. The ground displacement time-series based on the analysis of Differential Interferometric Synthetic Aperture Radar (DInSAR) measurements, as well as the information about the geology of the area and the geometry of the construction under monitoring, provides useful data for the built environment’s structural assessment. This paper focuses on the structural monitoring and damage assessment of constructions based on the GIS integration of DInSAR measurements, geological investigation, historical surveys and 3D modeling. The methodology is applied to the residential area of Valco San Paolo in the city of Rome (Italy). Once the geological interpretation has confirmed the results of the DInSAR measurements, a quick damage assessment that considers all the possible conditions of the pre-existing damage at the time zero of the monitoring is shown for a damaged manufact in the area. The presented results highlight how the strategy to correlate the DInSAR-monitored ground settlements with the damage scales allows potentially to monitor continuous construction systems.

Miano, A., Di Carlo, F., Mele, A., Giannetti, I., Nappo, N., Rompato, M., et al. (2022). GIS Integration of DInSAR Measurements, Geological Investigation and Historical Surveys for the Structural Monitoring of Buildings and Infrastructures: An Application to the Valco San Paolo Urban Area of Rome. INFRASTRUCTURES, 7(7) [10.3390/infrastructures7070089].

GIS Integration of DInSAR Measurements, Geological Investigation and Historical Surveys for the Structural Monitoring of Buildings and Infrastructures: An Application to the Valco San Paolo Urban Area of Rome

Di Carlo F.;Giannetti I.;Meda A.;
2022-06-24

Abstract

Structural health monitoring is a crucial issue in areas with different hazard sources, such as Italy. Among non-invasive monitoring techniques, remote sensing provides useful information in supporting the management process and safety evaluations, reducing the impact of disturbances on the functionality of construction systems. The ground displacement time-series based on the analysis of Differential Interferometric Synthetic Aperture Radar (DInSAR) measurements, as well as the information about the geology of the area and the geometry of the construction under monitoring, provides useful data for the built environment’s structural assessment. This paper focuses on the structural monitoring and damage assessment of constructions based on the GIS integration of DInSAR measurements, geological investigation, historical surveys and 3D modeling. The methodology is applied to the residential area of Valco San Paolo in the city of Rome (Italy). Once the geological interpretation has confirmed the results of the DInSAR measurements, a quick damage assessment that considers all the possible conditions of the pre-existing damage at the time zero of the monitoring is shown for a damaged manufact in the area. The presented results highlight how the strategy to correlate the DInSAR-monitored ground settlements with the damage scales allows potentially to monitor continuous construction systems.
24-giu-2022
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ICAR/09 - TECNICA DELLE COSTRUZIONI
English
3D modeling
damage assessment
DInSAR Measurements
geological investigation
GIS integration
historical surveys
structural monitoring
Miano, A., Di Carlo, F., Mele, A., Giannetti, I., Nappo, N., Rompato, M., et al. (2022). GIS Integration of DInSAR Measurements, Geological Investigation and Historical Surveys for the Structural Monitoring of Buildings and Infrastructures: An Application to the Valco San Paolo Urban Area of Rome. INFRASTRUCTURES, 7(7) [10.3390/infrastructures7070089].
Miano, A; Di Carlo, F; Mele, A; Giannetti, I; Nappo, N; Rompato, M; Striano, P; Bonano, M; Bozzano, F; Lanari, R; Mazzanti, P; Meda, A; Prota, A; Mugnozza, Gs
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/313307
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