PSI - Issue 84

Francesco Mariani et al. / Procedia Structural Integrity 84 (2026) 773–780

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These findings underscore the importance of accounting for boundary condition variations and environmental factors when interpreting modal-based SHM data on real structures. The dataset and insights obtained during this initial phase lay a solid foundation for the ongoing program, which will include controlled damage scenarios to further assess the robustness and reliability of advanced SHM methodologies. Future work will focus on damage localization, the integration of multi-sensor data, and the development of more sophisticated algorithms for early damage detection under realistic operational conditions. Acknowledgements The authors would like to thank Manini Prefabbricati S.p.A. for the construction of the experimental setup used in this study. This work was financially supported by FABRE - Research consortium for the evaluation and monitoring of bridges, viaducts, and other structures through funds for basic research on "Multi-level safety analysis and monitoring of existing bridges". References Cancelli, A., Laflamme, S., Alipour, A., Sritharan, S., Ubertini, F., 2020. Vibration-based damage localization and quantification in a pretensioned concrete girder using stochastic subspace identification and particle swarm model updating. Structural Health Monitoring 19 (2), 587–605. doi:10.1177/1475921718820015. Gandelli, E., Rossini, G., Mantelli, S.G., Minelli, F., 2024. Damage detection of prestressed concrete beams affected by shear and flexure cracks through vibration monitoring. Engineering Structures 304, 117572. doi:10.1016/j.engstruct.2024.117572. García-Macías, E., Ubertini, F., 2020. Mova/moss: Two integrated software solutions for comprehensive structural health monitoring of structures. Mechanical Systems and Signal Processing 143, 106830. doi:10.1016/j.ymssp.2020.106830. Giri, P., Ierimonti, L., García-Macías, E., Ubertini, F., Venanzi, I., 2024. Bayesian-based multi-class damage identification on prestressed reinforced concrete bridges. Structure and Infrastructure Engineering (2024) 1–17. doi:10.1080/15732479.2024.2440109. Limongelli, M.P., Siegert, D., Merliot, E., Waeytens, J., Bourquin, F., Vidal, R., Le Corvec, V., Gueguen, I., Cottineau, L.M., 2016. Damage detection in a post-tensioned concrete beam: Experimental investigation. Engineering Structures 128, 15–25. doi:10.1016/j.engstruct.2016.09.017. Paolini, C., Civera, M., D’Angelo, M., Giordano, P.F., Borlenghi, P., Ballio, F., Chiaia, B., Limongelli, M.P., 2026. Dataset of bridge collapses in Italy spanning more than 25 years (2000–2025). Data in Brief 64, 112375. doi:https://doi.org/10.1016/j.dib.2025.112375. URL https://www.sciencedirect.com/science/article/pii/S2352340925010881 Peeters, B., De Roeck, G., 2001. One-year monitoring of the Z24-bridge: Environmental effects versus damage events. Earthquake Engineering and Structural Dynamics 30 (2), 149–171. doi:10.1002/1096-9845(200102)30:2<149::AID-EQE1>3.0.CO;2-Z. Salvatore, W., Uva, G., Venanzi, I., et al., 2026. Structural and Seismic Risk Classification of Bridges According to the Italian Guidelines: A Critical Perspective from the Jointed Experience of FABRE and Anas. BER Open: International Journal of Bridge Engineering and Management Research 3 (1), 21426006. Sconocchia, G.G., Mariani, F., Ierimonti, L., Meoni, A., Venanzi, I., Ubertini, F., 2024. Insights into structural assessment and long-term effects of a post-tensioned multispan concrete box girder bridge with vertically prestressed internal joints. Structures 63, 106396. doi:10.1016/j.istruc.2024.106396. Worden, K., Manson, G., Fieller, N.R.J., 2000. Damage detection using outlier analysis. Journal of Sound and Vibration 229 (3), 647–667. Yan, A.-M., Kerschen, G., De Boe, P., Golinval, J.-C., 2005. Structural damage diagnosis under varying environmental conditions—part I: A linear analysis. Mechanical Systems and Signal Processing 19 (4), 847–864. doi:10.1016/j.ymssp.2004.12.002. ASCE, A comprehensive assessment of America’s infrastructures, technical report (2021). Brincker, R., Ventura, C., 2015. Introduction to Operational Modal Analysis. Wiley.