PSI - Issue 84
Francesco Nigro et al. / Procedia Structural Integrity 84 (2026) 183–190
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The variation of the structural scheme has been clearly observed studying the acquired accelerometer data, that allowed to identify and track 13 vibration modes. Indeed, the first three vibration modes consisted of global-type modes, involving the vibration of the entire structure, unlike multi-span structures having individual spans characterised by similar mass and stiffness, leading to a decoupling of the global response into individual span vibrations. This preliminary characterization represents a promising baseline for future developments, which will focus on the implementation of automated Continuous Structural Health Monitoring (CSHM) of the bridge for long-term structural health assessment and predictive maintenance, which will be further validated by a FEM model capable of reproducing the actual boundary conditions of the structure. Acknowledgements The authors gratefully acknowledge ANAS S.p.A. for providing access to monitoring data and technical documentation related to the source bridge. This study was supported by FABRE - ‘‘Research consortium for the evaluation and monitoring of bridges, viaducts and other structures’’ (www.consorziofabre.it/en) within the activities of the FABRE-ANAS 2021–2026 research program. Any opinion expressed in the paper does not necessarily reflect the view of the funder. References Allemang, R. J., 2003. The modal assurance criterion – twenty years of use and abuse. Sound and Vibration 37, 14–23. Brincker, R., Zhang, L., 2015. Introduction to Operational Modal Analysis . John Wiley & Sons. https://doi.org/10.1002/9781118535141. Farrar, C. R., Worden, K., 2007. An introduction to structural health monitoring. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, 303–315. https://doi.org/10.1098/rsta.2006.1928. García-Macías, E., Ruccolo, A., Zanini, M. A., Pellegrino, C., Gentile, C., Ubertini, F., Mannella, P., 2023. P3P: A software suite for autonomous SHM of bridge networks. Journal of Civil Structural Health Monitoring 13, 1577–1594. https://doi.org/10.1007/s13349-022-00653-6. Granata, M. F., Messina, D., Colajanni, P., La Mendola, L., Giudice, E. L., 2022. Performance of a historical cantilever reinforced concrete bridge with half-joint degradation. Structures 37, 561-575. https://doi.org/10.1016/j.istruc.2022.01.039. Lynch, J. P., Farrar, C. R., Michaels, J. E., 2016. Structural Health Monitoring: Looking Back Over the Last 30 Years. IEEE Instrumentation & Measurement Magazine 19, 6–12. https://doi.org/10.1109/MIM.2016.7570530. Magalhães, F., Cunha, Á., 2011. Explaining operational modal analysis with data from an arch bridge. Mechanical Systems and Signal Processing 25, 1431–1450. https://doi.org/10.1016/j.ymssp.2010.12.008. Meoni, A., Galassi Sconocchia, G., Mariani, F., Ierimonti, L., Castellani, M., Tomassini, E., Venanzi, I., Ubertini, F., 2024. Characterization of the static and dynamic response of a post-tensioned concrete box girder bridge with vertically prestressed joints showing vertical deflections due to concrete creep deformation. Journal of Physics: Conference Series 2647, 192020. https://doi.org/10.1088/1742-6596/2647/19/192020. Moore, M., Phares, B., Graybeal, B., Rolander, D., 2001. Reliability of Visual Inspection for Highway Bridges (Report No. FHWA-RD-01-020). Federal Highway Administration. https://doi.org/10.21949/1517551. Peeters, B., De Roeck, G., 1999. Reference-based stochastic subspace identification for output-only modal analysis. Mechanical Systems and Signal Processing 13, 455–478. https://doi.org/10.1006/mssp.1999.1249. Rainieri, C., Fabbrocino, G., 2014. Operational Modal Analysis of Civil Engineering Structures. Springer. https://doi.org/10.1007/978-1-4939 0767-0. Sabato, A., Niezrecki, C., Fortino, G., 2017. Wireless MEMS-Based Accelerometer Sensor Nodes for Structural Health Monitoring: A Review. IEEE Sensors Journal 17, 2262–2276. https://doi.org/10.1109/JSEN.2017.2662219. Salvatore, W., Uva, G., Venanzi, I., Mazzotti, C., Morici, M., Natalì, A., Dall’Asta, A., Ubertini, F., Mannella, P., Lepori, L., et al., 2024. Application of Italian Guidelines for structural-foundational and seismic risk classification of bridges: the Fabre experience on a large bridge inventory. II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24). Elsevier. https://doi.org/10.1016/j.matpr.2024.01.123. Tomassini, E., Centofanti, G., Chellini, G., García-Macías, E., Lepori, L., Mannella, P., Salvatore, W., Ubertini, F., 2025. Key findings from long term operational modal analysis of a landmark steel arch bridge in Italy. Structures 82, 110436. https://doi.org/10.1016/j.istruc.2024.110436. Tomassini, E., Mariani, F., García-Macías, E., Venanzi, I., Ubertini, F., 2024. Dynamic characterization of a curved nine-spans pre-stressed concrete box girder bridge with half-joints. Procedia Structural Integrity 62, 903–910. https://doi.org/10.1016/j.prostr.2024.09.121. Van Overschee, P., De Moor, B., 1996. Subspace Identification for Linear Systems: Theory-Implementation-Applications . Kluwer Academic Publishers. https://doi.org/10.1007/978-1-4613-1221-5.
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