PSI - Issue 78

Domenico Cefalì et al. / Procedia Structural Integrity 78 (2026) 1358–1365

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This is particularly vital in seismically active regions, where hidden damage can significantly compromise resistance. Bolzano's model offers a compelling framework for enhancing long-term bridge safety and reliability internationally. 5. Conclusions and future developments The Italian bridge guidelines are a crucial step towards effective infrastructure management, but there's room for further improvement. Specifically, more sophisticated and quantitative Bridge Health Indexes (BHIs) are needed to move beyond current qualitative assessments. Implementing these BHIs would allow for more objective and continuous monitoring of bridge conditions, leading to better proactive maintenance scheduling and resource allocation, especially in high seismic risk areas. This would ultimately create a more robust and reliable system for managing Italy's existing bridge infrastructure, especially in contexts with high seismic risk. References Abe, K., Natori, T., Kominato, Y., 2016. Structural health monitoring system of railway bridge substructures utilizing soundness diagnosis index correlated with natural frequency, in: Parlikad A.K., Schooling J.M., Soga K., Mair R.J., Jin Y. (Eds.), Transform. Futur. Infrastruct. Smarter Inf. - Proc. Int. Conf. Smart Infrastruct. Constr., ICSIC. Presented at the Transforming the Future of Infrastructure through Smarter Information - Proceedings of the International Conference on Smart Infrastructure and Construction, ICSIC 2016, ICE Publishing, pp. 481 – 486. https://doi.org/10.1680/tfitsi.61279.481 Abé, M., Fujino, Y., 2017. Monitoring of long-span bridges in Japan. Proc. Inst. Civ. Eng. Civ. Eng. 170, 135 – 144. https://doi.org/10.1680/jcien.16.00002 Adarsan, A., Rajalakshmi, K., Suryanarayanan, S., Sambath, K., S P, D., Nandhakumar, P., 2025. A Review on Application of Nanosensors for Monitoring the Structural Health of Bridges. J. Public Transp. 4, 38 – 59. https://doi.org/10.34218/JPTS_04_01_003 Agredo Chávez, A., Gonzalez-Libreros, J., Wang, C., Sas, G., 2024. Bridge condition index: A review of methodologies used in Bridge Management Systems, in: Bridge Maintenance, Safety, Management, Digitalization and Sustainability. CRC Press, London, pp. 1130 – 1137. https://doi.org/10.1201/9781003483755-131 Andriulo, G., 2023. Applicative experience of Italian Guidelines for safety and monitoring of existing bridges. Eur. Transp. Eur. 1 – 16. https://doi.org/10.48295/ET.2023.94.6 Bianchi, G., Fanelli, C., Freddi, F., Giuliani, F., La Placa, A., 2025. Systematic review railway infrastructure monitoring: From classic techniques to predictive maintenance. Adv. Mech. Eng. 17. https://doi.org/10.1177/16878132241285631 Capacci, L., Biondini, F., Frangopol, D.M., 2022. Resilience of aging structures and infrastructure systems with emphasis on seismic resilience of bridges and road networks: Review. Resilient Cities Struct. 1, 23 – 41. https://doi.org/10.1016/j.rcns.2022.05.001 Capogna, M., Salvatore, W., Renzi, E., Tamasi, G., 2023. “Guidelines for the classification and management of risk, for the e valuation of safety and for the monitoring of existing bridges”. An automatic calculation model of the seismic attention class opti mized for the use of cloud computing services. Procedia Struct. Integr., XIX ANIDIS Conference, Seismic Engineering in Italy 44, 705 – 712. https://doi.org/10.1016/j.prostr.2023.01.092 Chávez, A.A., Gonzalez-Libreros, J., Wang, C., Sas, G., 2024. Bridge condition index: A review of methodologies used in Bridge Management Systems, in: Bridge Maintenance, Safety, Management, Digitalization and Sustainability. CRC Press. Ciminelli, F., Bernardini, D., Lofrano, E., Paolone, A., 2024. Statistical analysis of risk assessment of bridges and viaducts according to recent Italian guidelines. Procedia Struct. Integr., II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) 62, 40 – 47. https://doi.org/10.1016/j.prostr.2024.09.014 Cutrone, B., Salvatore, W., Renzi, E., Tamasi, G., 2023. “Guidelines for the classification and management of risk, for the evaluation of safety and for the monitoring of existing bridges”. Critical analysis and identification of innovative methods to improve the classifica tion of landslide risk. Procedia Struct. Integr., XIX ANIDIS Conference, Seismic Engineering in Italy 44, 713 – 720. https://doi.org/10.1016/j.prostr.2023.01.093 Darban, S., ghasemzadeh tehrani, H., Karballaeezadeh, N., 2020. Presentation a New Method for Determining of Bridge Condition Index by Using Analytical Hierarchy Process. https://doi.org/10.20944/preprints202003.0420.v1 Darban, S., ghasemzadeh tehrani, H., Karballaeezadeh, N., Mosavi, A., 2021. Application of Analytical Hierarchy Process for Structural Health Monitoring and Prioritizing Concrete Bridges in Iran. Appl. Sci. 11, 8060. https://doi.org/10.3390/app11178060 De Matteis, G., Bencivenga, P., Zizi, M., 2022. Structural Risk Assessment of Existing Road Bridges According to Italian Guidelines Based on a Territorial Case Study, in: Pellegrino, C., Faleschini, F., Zanini, M.A., Matos, J.C., Casas, J.R., Strauss, A. (Eds.), Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures, Lecture Notes in Civil Engineering. Springer International Publishing, Cham, pp. 527 – 534. https://doi.org/10.1007/978-3-030-91877-4_60 Di Fluri, P., Dovichi, A., Aronica, G.T., Petruccelli, N., Domeneghetti, A., Brath, A., 2024. A multidimensional approach for hydraulic risk assessment on existing bridges: outcomes from in field applications. Procedia Struct. Integr., II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) 62, 640 – 646. https://doi.org/10.1016/j.prostr.2024.09.089 Abdallah, A.M., Atadero, R.A., Ozbek, M.E., 2022. A State-of-the-Art Review of Bridge Inspection Planning: Current Situation and Future Needs. J. Bridge Eng. 27, 03121001. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001812