PSI - Issue 78

Elisa Tomassini et al. / Procedia Structural Integrity 78 (2026) 1831–1838 Author name / Structural Integrity Procedia 00 (2025) 000–000

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that the structure was not exposed to damaging seismic demand. All things considered, the data suggest that the bridge preserved its structural integrity and dynamic behavior throughout the event, thereby reinforcing the reliability of the monitoring system and confirming the safe operational status of the infrastructure.

5. Conclusions

The implementation of ANAS S.p.A.’s SHM program exemplifies the e ff ective application of advanced method ologies for managing large datasets and enabling real-time structural health monitoring. The inclusion of seismic monitoring capabilities allows for detailed evaluation of bridge behavior under earthquake excitation and after seis mic events, enhancing risk assessment and supporting timely, informed maintenance decisions. This comprehensive approach establishes a new benchmark for sustainable infrastructure management and proactive preventive mainte nance strategies, ultimately increasing the resilience and safety of critical transportation networks.

Acknowledgements

This study was supported by FABRE – “Research consortium for the evalua-tion and monitoring of bridges, viaducts and other structures” (www.consorziofabre.it / en) within the activities of the FABRE-ANAS SHM research program. Any opinion expressed in the paper does not necessarily reflect the view of the funder. The authors greatly acknowledge ANAS S.p.A. for providing the bridge data presented in the paper analysis. Additionally, the authors would like to give the credits to Almaviva S.p.A. for developing the platform mentioned in this work.

References

Italian Ministry of Infrastructure and Transport. Guidelines on Risk Classification and Management, Safety Assessment and Monitoring of Existing Bridges. July 1, 2022. Filipe Magalha˜es, Alvaro Cunha, and Elsa Caetano. Dynamic monitoring of a long span arch bridge. Engineering Structures , 30:3034–3044, 11 2008. Elisa Tomassini, Enrique Garc´ıa-Mac´ıas, and Filippo Ubertini. Fast stochastic subspace identification of densely instrumented bridges using randomized SVD. Mechanical Systems and Signal Processing , 225, 2025. Enrique Garc´ıa-Mac´ıas, Herna´ndez-Gonza´lez, Elisa Israel Alejandro Tomassini, and Filippo Ubertini. Leveraging Artificial Intelligence to un lock Next-Generation SHM software: Advanced Feature Extraction and Damage Identification. International Journal of Bridge Engineering, Management and Research , 2(1):21425007–1:16, 2025. ANAS S.p.A. Monitoraggio di ponti e viadotti tramite sensori. https: // www.stradeanas.it / it / le-strade / monitoraggio-di-ponti-e-viadotti-tramite sensori. Enrique Garc´ıa-Mac´ıas, Antonello Ruccolo, Mariano Angelo Zanini, Carlo Pellegrino, Carmelo Gentile, Filippo Ubertini, and Paolo Mannella. P3P: A software suite for autonomous SHM of bridge networks. Journal of Civil Structural Health Monitoring , pages 1–18, 2022. Filippo Ubertini, Nicola Cavalagli, Alban Kita, and Gabriele Comanducci. Assessment of a monumental masonry bell-tower after 2016 central Italy seismic sequence by long-term SHM. Bulletin of Earthquake Engineering , 16(2):775 – 801, 2018. A.M. Yan, G. Kerschen, P. De Boe, and J.-C. Golinval. Structural damage diagnosis under varying environmental conditions—Part I: A linear analysis. Mechanical Systems and Signal Processing , 19(4):847–864, 2005. Jyrki Kullaa. Damage detection of the Z24 bridgeusing control charts. Mechanical Systems and Signal Processing , 17(1):163–170, 2003. Edwin Reynders, Jeroen Houbrechts, and Guido De Roeck. Automated interpretation of stabilization diagrams. In Modal Analysis Topics, Volume 3 , pages 189–201. Springer, 2011. De Roeck Guido Peeters, Bart. One–year monitoring of the z24–bridge: environmental e ff ects versus damage events. Earthquake Engineering and Structural Dynamics , 30:149–171, 2001. Alireza Entezami, Hassan Sarmadi, and Bahareh Behkamal. Removal of freezing e ff ects from modal frequencies of civil structures for structural health monitoring. Engineering Structures , 319:118722, 11 2024. Christopher Bishop. Pattern Recognition and Machine Learning , volume 16, pages 140–155. 01 2006. INGV - Istituto Nazionale di Geofisica e Vulcanologia. Earthquake with magnitude of ml 3.6 on date 23-04-2025 and time 23:31:33 (cet) in region 4 km n spoleto (pg). https: // terremoti.ingv.it / en / event / 42526982.