Structural Health Monitoring of Curved Roadway Bridges Through Satellite Radar Interferometry and Collapse Simulation
| Author(s): |
Elisabetta Farneti
(University of Perugia Perugia Italy)
Andrea Meoni (University of Perugia Perugia Italy) Agnese Natali (University of Pisa Pisa Italy) Simone Celati (University of Pisa Pisa Italy) Carmine Frascella (e‐GEOS SpA Roma Italy) Maria Cristina Lupi (e‐GEOS SpA Roma Italy) Nicola Cavalagli (University of Perugia Perugia Italy) Ilaria Venanzi (University of Perugia Perugia Italy) Walter Salvatore (University of Pisa Pisa Italy) Filippo Ubertini (University of Perugia Perugia Italy) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | ce/papers, September 2023, n. 5, v. 6 |
| Page(s): | 907-916 |
| DOI: | 10.1002/cepa.2201 |
| Abstract: |
This paper presents the application of a Structural Health Monitoring (SHM) strategy for bridges affected by slow deformation phenomena to a curved roadway bridge undergoing slow landslide‐induced movements. The chosen multidisciplinary approach is based on the combination of remote sensing data through satellite Synthetic Aperture Radar Interferometry (InSAR) and structural analysis up to collapse investigated through the Applied Element Method (AEM). The results of the application to the considered case study demonstrate that the integration of the displacement information obtained through InSAR technique with the numerical analysis allows for improving the comprehension of the health state of the bridge undergoing slow movements and identifying potentially critical conditions for the structure. |
- About this
data sheet - Reference-ID
10767218 - Published on:
17/04/2024 - Last updated on:
17/04/2024
