PSI - Issue 78

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

1365

Symposium Life-Cycle Civ. Eng. Presented at the Life-Cycle of Structural Systems: Design, Assessment, Maintenance and Management - Proceedings of the 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014, CRC Press/Balkema, pp. 1973 – 1980. Otake, Y., SASUGA, T., KOBAYASHI, K., HONJO, Y., 2012. An evaluating bridge health index of steel bridge rc deck considering deterioration mechanisms based on statistical analysis of bridge inspection data. J. Jpn. Soc. Civ. Eng. Ser A1 Struct. Eng. Earthq. Eng. SEEE 68, 683. https://doi.org/10.2208/jscejseee.68.683 Patjawit, A., Kanok-Nukulchai, W., 2005. Health monitoring of highway bridges based on a Global Flexibility Index. Eng. Struct. 27, 1385 – 1391. https://doi.org/10.1016/j.engstruct.2005.04.003 Perilli, N., Stacul, S., Lombardi, M., Nenci, N., Squeglia, N., 2024. Key areas and rearrangement of the workflow for the evaluation of the landslide class of attention parameters of existing bridges. Procedia Struct. Integr., II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) 62, 538 – 545. https://doi.org/10.1016/j.prostr.2024.09.076 Principi, L., Morici, M., Natali, A., Salvatore, W., Dall’Asta, A., 2024. An Artificial Neural Network for the prediction of the structural and foundational attention class of bridges according to the Italian Guidelines. Procedia Struct. Integr., II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) 62, 89 – 96. https://doi.org/10.1016/j.prostr.2024.09.020 Provincia Autonoma di Bolzano, 2011. Decreto 28/11/2011, n. 41, recante disposizioni tecniche sul collaudo e sul controllo statico e periodico dei ponti stradali. Bollettino Ufficiale della Regione Trentino Alto Adige 06/12/2011, n. 49. Quqa, S., Palermo, A., Marzani, A., 2024. Damage index based on the strain-to-displacement relation for health monitoring of railway bridges. Comput.-Aided Civ. Infrastruct. Eng. 39, 3145 – 3163. https://doi.org/10.1111/mice.13161 Rainieri, C., Gargaro, D., Fabbrocino, G., Di Sarno, L., Maddaloni, G., Prota, A., Manfredi, G., 2017. Structural health monitoring of existing bridges in earthquake prone areas: Laboratory validation, in: Chang F.-K., Kopsaftopoulos F. (Eds.), Struct. Health Monit.: Real-Time Mater. State Aware. Data-Driven Safety Assur. - Proc. Int. Workshop on Struct. Health Monit., IWSHM. Presented at the Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017, DEStech Publications, pp. 2416 – 2423. https://doi.org/10.12783/shm2017/14138 Ramadhan, R., Nazri, M., Putra, S., Rompas, M., Panca, J., Fonseca, N., D. S. Guterres, N., Dos, S., Piedade, R., 2025. Finite Element Analysis and Vibration Signal Processing Techniques To Determine the Frequency Response in Bridge Health Monitoring Study 1, 29 – 51. https://doi.org/10.53623/amms.v1i1.675 Rapicavoli, D., Cannizzaro, F., Fiore, I., Messina, M., Liseni, S., Occhipinti, G., Caddemi, S., Caliò, I., 2024. Bridge Data: a cloud-based platform for the assessment of the Class of Attention of existing bridges. Procedia Struct. Integr., II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) 62, 250 – 258. https://doi.org/10.1016/j.prostr.2024.09.040 Renzi, E., Zampino, S., Palermo, G., Tamasi, G., Nucci, F.D., Porretto, V., Germanese, L., 2023. An Integrated Risk Management System for Road Infrastructures: Focus on Seismic Risk and Network Performance. Procedia Struct. Integr., XIX ANIDIS Conference, Seismic Engineering in Italy 44, 355 – 362. https://doi.org/10.1016/j.prostr.2023.01.047 Rizzo, P., Enshaeian, A., 2021. Bridge health monitoring in the United States: A review. Struct. Monit. Maint. 8, 1 – 50. https://doi.org/10.12989/smm.2021.8.1.001 Rossi, F., Brighenti, F., Verzobio, A., Tonelli, D., Zonta, D., Migliorino, P., 2023. Comparison Between Model Prediction and Measured Response of a Prestressed Concrete Bridge Tested to Failure, in: European Workshop on Structural Health Monitoring. pp. 543 – 553. https://doi.org/10.1007/978-3-031-07254-3_55 Rossi, P.P., Spinella, N., Recupero, A., 2024. The Italian guidelines for risk and safety evaluation of existing bridges: A case study, in: Bridge Maintenance, Safety, Management, Digitalization and Sustainability. CRC Press, London, pp. 2882 – 2889. https://doi.org/10.1201/9781003483755-342 Salciarini, D., Cernuto, E., Dezi, F., Brezzi, L., Squeglia, N., Gabrieli, F., Stacul, S., Doglioni, A., Mammoliti, E., Gibin, F., Capati, G., Simeone, V., Simonini, P., 2024. Insights into Landslide Interaction with Bridges and Viaducts: Lessons from Italian Case Studies and Database Analysis. Procedia Struct. Integr., II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) 62, 522 – 529. https://doi.org/10.1016/j.prostr.2024.09.074 Salvatore, W., Uva, G., Venanzi, I., Mazzotti, C., Morici, M., Natali, A., Dall’Asta, A., Ubertini, F., Mannella, P., Lepori, L., Pellicanò, F., Calò, M., Cardillo, E., Nettis, A., Bencivenga, P., Brando, G., Borlenghi, P., Carbonari, S., Clemente, P., D’A mato, M., De Matteis, G., Di Lallo, Y., Facconi, L., Gara, F., Gattesco, N., Gentile, C., Ierimonti, L., Lomonaco, A., Manarin, S., Masciotta, G., Mazzelli, A., Meoni, A., Messina, V., Minelli, F., Noè, S., Pellegrino, C., Puntel, E., Quaglini, V., Ragni, L., Ranaldo, A., Sangiuliano, L., Ruggieri, S., Zanini, M., Zizi, M., Zona, A., Caliò, I., Ferro, G.A., Fossetti, M., Lupoi, A., Proverbio, E., 2024. Application of Italian Guidelines for structural-foundational and seismic risk classification of bridges: The Fabre experience on a large bridge inventory, in: Salvatore W., Dall’Asta A. (Eds.), Proc . Struc. Inte. Presented at the Procedia Structural Integrity, Elsevier B.V., pp. 1 – 8. https://doi.org/10.1016/j.prostr.2024.09.009 Saraswati, A., Thahir, A.P.L., 2025. A comparison of methodologies to assess bridge condition. SINERGI J. Ris. Ilm. 2, 1541 – 1551. https://doi.org/10.62335/sinergi.v2i3.1038 Stacul, S., Squeglia, N., Perilli, N., 2024. On the use and effectiveness of the Italian Landslide Hazard Map for the assessment of the Landslide Class of Attention according to the Italian Guidelines for classifying the risk of existing bridges. Procedia Struct. Integr., II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) 62, 569 – 575. https://doi.org/10.1016/j.prostr.2024.09.080 Sumitro, S., Matsui, Y., Kono, M., Okamoto, T., Fujii, K., 2001. Long span bridge health monitoring system in Japan, in: Proc SPIE Int Soc Opt Eng. Presented at the Proceedings of SPIE - The International Society for Optical Engineering, pp. 517 – 524. https://doi.org/10.1117/12.435628 Zhou, C., Wu, Y., Cui, G., Zhang, A., Gao, Y., Wang, X., Ouyang, J., Sun, H., Liang, Y., Liu, Z., Zhang, L., 2020. Comprehensive measurement techniques and multi-index correlative evaluation approach for structural health monitoring of highway bridges. Meas. J. Int. Meas. Confed. 152. https://doi.org/10.1016/j.measurement.2019.107360

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