Abstract
AbstractContinuous monitoring of the structural health of strategic structures and transport infrastructures plays a crucial role in providing an effective assessment of the safety conditions and in timely planning of the ordinary and extraordinary maintenance programme. Deformation monitoring and dynamic characteristic identification are some commonly used strategies for this purpose. One of the main challenges of recent years in the field of structural health monitoring is the use of data deriving from satellite interferometry, capable of providing information on structural deformations at a local and territorial scale. Despite the solidity and dependability of satellite-based methods for assessing ground deformation over time, when it comes to structural surveillance, there are certain circumstances under which satellites are incapable of accurately assessing displacements. This is particularly true for structures that are sensitive to temperature variations. The paper uses the “Ponte della Musica–Armando Trovajoli” in Rome as a case study to explore these aspects in more depth. This bridge has a steel arch structure with a prestressed concrete deck below it. It represents an example in which satellite differential interferometry does not allow obtaining useful information on displacement, at least for the most deformable portion of the deck, and therefore also on any pathological movements. This work proposes a 3D digital twin of the bridge, appropriately calibrated through experimental measurements of the environmental vibrations performed on the bridge. This will allow to evaluate the role played by thermal deformations related to air temperature variations and thus better understand the connection between physiological deformations and satellite limits.
Publisher
Springer Science and Business Media LLC
Reference41 articles.
1. Linee guida per la classificazione e gestione del rischio, la valutazione della sicurezza ed il monitoraggio dei ponti esistenti. Ministero delle Infrastrutture e dei Trasporti Consiglio Superiore dei Lavori Pubblici, Rome, Italy, 2020.
2. Bao Y, Chen Z, Wei S, Xu Y, Tang Z, Li H (2019) The state of the art of data science and engineering in structural health monitoring. Engineering 5(2):234–242
3. Di Carlo F, Giannetti I, Romualdi A, Meda A, & Rinaldi Z (2022). On the DInSAR technique for the structural monitoring of modern existing bridges. In: Proceedings of the Institution of civil engineers-bridge engineering. Thomas Telford Ltd. pp. 1–12
4. Serlenga V, Gallipoli MR, Ditommaso R, Ponzo CF, Tragni N, Perrone A, Stabile TA, Calamita G, Vignola L, Carso RF, Pietrapertosa D, Lapenna V (2021) An integrated approach for structural behavior characterization of the Gravina Bridge (Matera, Southern Italy). Struct Health Monit 20(6):3371–3391. https://doi.org/10.1177/1475921720987544
5. Picozzi M, Ditommaso R, Parolai S, Mucciarelli M, Milkereit C, Sobiesiak M, Di Giacomo D, Gallipoli MR, Pilz M, Vona M, Zschau J (2010) Real time monitoring of structures in task force missions: the example of the Mw = 6.3 central italy earthquake, april 6, 2009. Nat Hazards 52:253–256
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献