PSI - Issue 78

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ScienceDirect

Procedia Structural Integrity 78 (2026) 1903–1910

XX ANIDIS Conference Satellite measurements for monitoring bridge networks

© 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of XX ANIDIS Conference organizers Abstract Bridges are critical components of transportation and communication networks. However, many of these structures are aging and susceptible to damage, underscoring the need for consistent monitoring to ensure their safety. Limited economic and technical resources highlight the importance of adopting smart monitoring strategies to prioritize infrastructure for detailed inspections, evaluations, and interventions. In recent decades, satellite-based remote sensing has gained prominence as a non-invasive tool for large-scale structural monitoring, with particular reference to Multi Temporal Differential SAR Interferometry (MT-DInSAR). This technology enables the collection of extensive data on the temporal and spatial progression of ground displacements, capturing large-scale deformation phenomena such as subsidence, landslides, and settlements. On a more localized scale, such as for individual bridges, high-resolution and frequent data sampling can be useful for preliminary structural assessments of roads, railways, or specific bridges. This study presents a large-scale methodology for the preliminary structural assessment of bridge networks using satellite-derived deformation data. The approach is applied to three different Proof of Concepts developed within the RETURN extended partnership, utilizing MT-DInSAR measurements from both ascending and descending orbits. By analyzing displacement trends of the measure points, the methodology proposes a classification of the bridges. This classification can help stakeholders identify the most vulnerable bridges and develop more targeted monitoring and maintenance strategies . Andrea Miano a *, Pietro Carpanese b , Francesca da Porto b , Teresa Fazio c , Pier Francesco Giordano d , Raffaele Landolfo e , Maria Giuseppina Limongelli d , Riccardo Liuzzo d , Vincenzo Massimi c , Aldo Milone e , Davide Oscar Nitti f , Raffaele Nutricato f , Alessandro Parisi f , Andrea Prota e , Anna Saetta g , Elisa Saler b , Marco Savoia h , Diego Talledo g , Marina Zingaro c a Department of Engineering, Pegaso University, Centro Direzionale Isola F2, 80143 Napoli, Italy; andrea.miano@unipegaso.it b Department of Geosciencies, University of Padova, via Gradenigo 6, 35131 Padova, Italy c Planetek Italia, via massaua 12, 70132, Bari d Department of Architecture, Built Environment andConstruction Engineering,Politecnico di Milano,Piazza Leonardo da Vinci 32, 20133 Milan, Ital e Department of Structures for Engineering and Architecture, University of Naples “Federico II”, Naples, Italy f Geophysical Applications Processing G.A.P. s.r.l., 70126 Bari, Italy g Department of Architecture and Arts, University IUAV of Venezia, Dorsoduro 2206, 30123 Venezia, Italy h DICAM-Structural Engineering, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy

* Corresponding author. E-mail address: andrea.miano@unina.it

2452-3216 © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of XX ANIDIS Conference organizers 10.1016/j.prostr.2025.12.242