A method for structural monitoring of multispan bridges using satellite InSAR data with uncertainty quantification and its pre-collapse application to the Albiano-Magra Bridge in Italy. (January 2023)
- Record Type:
- Journal Article
- Title:
- A method for structural monitoring of multispan bridges using satellite InSAR data with uncertainty quantification and its pre-collapse application to the Albiano-Magra Bridge in Italy. (January 2023)
- Main Title:
- A method for structural monitoring of multispan bridges using satellite InSAR data with uncertainty quantification and its pre-collapse application to the Albiano-Magra Bridge in Italy
- Authors:
- Farneti, Elisabetta
Cavalagli, Nicola
Costantini, Mario
Trillo, Francesco
Minati, Federico
Venanzi, Ilaria
Ubertini, Filippo - Abstract:
- Synthetic Aperture Radar Interferometry (InSAR) using satellite data is revealing a promising tool for monitoring long-term deformation phenomena in critical infrastructural systems. Nevertheless, its use in structural engineering is still quite limited and a general understanding of its potential is still missing, especially when dealing with bridge structures for which specific methods of data processing and displacement assessment with error quantification need to be developed, accounting for the type of deformation phenomena and for the orientation of the bridge. In order to partly fill this research gap, this paper proposes a post-processing methodology to derive two-dimensional displacement configurations of multi-span bridges with properly defined error bounds, using both ascending and descending Synthetic Aperture Radar acquisitions. In order to obtain an engineering meaningful estimate of the uncertainties affecting the reconstructed bridge deformations, both random and systematic errors are quantified, accounting for the orientation of the bridge with respect to the Line-Of-Sights of the satellites, the hypothesized deformation plane and the accuracy of InSAR measurements. The proposed procedure has been applied to the illustrative case study of the Albiano-Magra Bridge in Italy, collapsed on 8 April 2020. The results, referred to the monitoring period 2015–2020, demonstrate the effectiveness of the proposed method in supporting engineering assessments. InSynthetic Aperture Radar Interferometry (InSAR) using satellite data is revealing a promising tool for monitoring long-term deformation phenomena in critical infrastructural systems. Nevertheless, its use in structural engineering is still quite limited and a general understanding of its potential is still missing, especially when dealing with bridge structures for which specific methods of data processing and displacement assessment with error quantification need to be developed, accounting for the type of deformation phenomena and for the orientation of the bridge. In order to partly fill this research gap, this paper proposes a post-processing methodology to derive two-dimensional displacement configurations of multi-span bridges with properly defined error bounds, using both ascending and descending Synthetic Aperture Radar acquisitions. In order to obtain an engineering meaningful estimate of the uncertainties affecting the reconstructed bridge deformations, both random and systematic errors are quantified, accounting for the orientation of the bridge with respect to the Line-Of-Sights of the satellites, the hypothesized deformation plane and the accuracy of InSAR measurements. The proposed procedure has been applied to the illustrative case study of the Albiano-Magra Bridge in Italy, collapsed on 8 April 2020. The results, referred to the monitoring period 2015–2020, demonstrate the effectiveness of the proposed method in supporting engineering assessments. In particular, an initially temperature-induced stationary deformation phenomenon has been observed, with all spans moving upwards or downwards during summer and winter. Afterwards, displacements of increasing amplitude for two side spans have been observed during the three years preceding the failure, providing information on the possible cause of collapse. … (more)
- Is Part Of:
- Structural health monitoring. Volume 22:Number 1(2023)
- Journal:
- Structural health monitoring
- Issue:
- Volume 22:Number 1(2023)
- Issue Display:
- Volume 22, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 22
- Issue:
- 1
- Issue Sort Value:
- 2023-0022-0001-0000
- Page Start:
- 353
- Page End:
- 371
- Publication Date:
- 2023-01
- Subjects:
- Structural health monitoring -- bridges -- synthetic aperture radar -- remote sensing -- infrastructures
Structural health monitoring -- Periodicals
Structural stability -- Periodicals
Strength of materials -- Periodicals
Nondestructive testing -- Periodicals
Constructions -- Stabilité -- Périodiques
Résistance des matériaux -- Périodiques
Contrôle non destructif -- Périodiques
Electronic journals
624.17 - Journal URLs:
- http://shm.sagepub.com/ ↗
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http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=1475-9217;screen=info;ECOIP ↗ - DOI:
- 10.1177/14759217221083609 ↗
- Languages:
- English
- ISSNs:
- 1475-9217
- Deposit Type:
- Legaldeposit
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