PSI - Issue 84

Angela Diana et al. / Procedia Structural Integrity 84 (2026) 623–629

629

k 1 = 2202 m/s

(2)

k 2 = 7132 m/s which represent an updating of the coefficients obtained in Di Rienzo et al. (2025) with a more limited set of data. 5. Conclusions In this study, the first two bending natural frequencies of a population of simply supported bridges were identified through continuous monitoring system. These frequencies were used to extend a previously analysed dataset aimed at developing simplified approaches for the estimation of the first two natural frequencies. A consistent correlation was observed between the identified frequencies and the geometric parameter h/L 2 . The obtained results represent a promising starting point for the development of rapid and reliable procedures for the large-scale assessment of the bridge structural health. Acknowledgements 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: Programma SHM . Any opinion expressed in the paper does not necessarily reflect the view of the funder. A.D. is funded, under Ministerial Decree No. 118/2023 within the framework of the National Recovery and Resilience Plan (NRRP), by the European Union – NextGenerationEU, Mission 4 ‘Education and Research’, Component 2’From Research to Business’, Investment 4.1. References Di Rienzo, N., Diana, A., Chisari, C., Zizi, M., De Matteis, G., (2025). Analytical-empirical relationships for the estimation of flexural frequencies in reinforced concrete bridge decks. XX ANIDIS Conference. 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 (8), 1577–1594. https://doi.org/10.1007/S13349 022-00653-6/FIGURES/15 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. https://doi.org/10.1016/J.YMSSP.2020.106830 Peeters, B., & De Roeck, G. (2001). One-year monitoring of the Z24-Bridge: environmental effects versus damage events. Earthquake Engineering & Structural Dynamics , 30 (2), 149–171. https://doi.org/10.1002/1096-9845(200102)30:2<149::AID-EQE1>3.0.CO;2-Z Pierdicca, A., & Mattiauda, F. (2021). Il monitoraggio dinamico delle strutture (Maggoli Editore, Ed.). https://www.maggiolieditore.it/il monitoraggio-dinamico-delle-strutture.html?msclkid=9045482af986135a3c17205d975cf564 Tomassini, E., García-Macías, E., & Ubertini, F. (2025). Fast stochastic subspace identification of densely instrumented bridges using randomized SVD. Mechanical Systems and Signal Processing , 225 . https://doi.org/10.1016/J.YMSSP.2024.112264 Zahid, F. Bin, Ong, Z. C., & Khoo, S. Y. (2020). A review of operational modal analysis techniques for in-service modal identification. Journal of the Brazilian Society of Mechanical Sciences and Engineering , 42 (8). https://doi.org/10.1007/S40430-020-02470-8