PSI - Issue 84

Lorenzo Principi et al. / Procedia Structural Integrity 84 (2026) 73–80

80

References Bergmeister, K., Tsalouchidis, K. T., Stierschneider, E., Ilić, L., Di Luca, D., & Spiezia, N. (2024). AI- enhanced digital inspection of bridges. Procedia Structural Integrity , 64 , 14 - 20. Bridgelall, R. (2025). Bridge Risk Index for Freight Corridor Resilience: A Non - Parametric Machine Learning and Threat Modeling Approach. Infrastructures , 10 (10), 264. Casassa, E., Gervasi, V., Messina, V., Del Carlo, F., Natali, A., & Salvatore, W. (2025, July). Data - Driven Approaches for Predicting Bridge Defectiveness: A Machine Learning - Based Assessment of Structural and Contextual Factors. In International Conference on Experimental Vibration Analysis for Civil Engineering Structures (pp. 369 - 378). Cham: Springer Nature Switzerland. Fell, R., Corominas, J., Bonnard, C., Cascini, L., Leroi, E., Savage, W. Z., 2008. Guidelines for Landslide Susceptibility, Hazard and Risk Zoning for Land Use Planning. Engineering Geology, 102 (3 – 4), 85 – 98. https://doi.org/10.1016/j.enggeo.2008.03.022 . Gara, F., Carbonari, S., Nicoletti, V., Martini, R., Brunetti, A., Dall’Asta, A., & Torsani, A. (2025). Assessment and management of existing bridges following the innovative Italian guidelines: A pilot study. International Journal of Bridge Engineering, Management and Research , 2 (1), 21425008 – 1:18. https://doi.org/10.70465/ber.v2i1.19 Huang, C., Lee, G., Mohan, S.B., Fard, B.N., 2013. A Study of U.S. Bridge Failures (1980 - 2012). Buffalo, NY: MCEER. Laura Ierimonti, Agnese Natali, Giuseppe Chellini, Michele Morici, Laura Gioiella, et al.. A multiscenario approach for structural health monitoring of existing bridges. 11th International Operational Modal Analysis Conference, Institut National de Recherche en Informatique et en Automatique [Inria], May 2025, Rennes, France. hal - 05398609 Istruzioni Operative per L’applicazione delle Linee Guida per la Classificazione e Gestione del Rischio, la Valutazione della Sicurezza ed il Monitoraggio dei Ponti Esistenti; ANSFISA: Rome, Italy, 2022. Linee Guida per la Classificazione e Gestione del Rischio, la Valutazione della Sicurezza ed il Monitoraggio dei Ponti Esiste nti; Ministero delle Infrastrutture e dei Trasporti: Rome, Italy, 2020. Li, Z., Sugita, A., Abe, M., & Hasegawa, S. (2025). Non - destructive characterization of grouted tendon ducts in bridge structures via high - energy X- ray imaging. Journal of Civil Structural Health Monitoring , 1- 17. Minnucci, L., Scozzese, F., Carbonari, S., Gara, F., Dall’Asta, A., 2022. Innovative Fragility - Based Method for Failure Mechanisms and Damage Extension Analysis of Bridges. Infrastructures, 7 (9), 122. https://doi.org/10.3390/infrastructures7090122. Natali, A.; Cosentino, A.; Morelli, F.; Salvatore, W., 2023. Multilevel Approach for Management of Existing Bridges: Critical Analysis and Application of the Italian Guidelines with the New Operating Instructions. Infrastructures, 8 (4), 70. https://doi.org/10.3390/infrastructures8040070. Nettis, A., Nettis, A., Ruggieri, S., Uva, G., 2024. Corrosion - Induced Fragility of Existing Prestressed Concrete Girder Bridges under Traffic Loads. Engineering Structures, 314, 118302. https://doi.org/10.1016/j.engstruct.2024.118302. Pedregosa, F.; Varoquaux, G.; Gramfort, A.; Michel, V.; Thirion, B.; Grisel, O.; Blondel, M.; Müller, A.; Nothman, J.; Louppe, G.; Prettenhofer, P.; Weiss, R.; Dubourg, V.; Vanderplas, J.; Passos, A.; Cournapeau, D.; Brucher, M.; Perrot, M.; Duchesnay, É. Scikit - Learn: Machine Learning in Python. arXiv June 5, 2018. http://arxiv.org/abs/1201.0490 (accessed 2025 - 07 - 07). Pentassuglia, F., Izonin, I., & Mitoulis, S. A. (2025). Bridge damage characterisation using machine learning: methods and advances. Results in Engineering , 107192. Principi, L., Morici, M., Natali, A., Salvatore, W., Dall’Asta, A., 2025 Preliminary Fast Assessment of Bridge Risk by Neural Network. International Journal of Disaster Risk Reduction 2025, 116, 105084. https://doi.org/10.1016/j.ijdrr.2024.105084 . Quarchioni, S., Nicoletti, V., Carbonari, S., & Gara, F. (2025, July). Mode Shape Reconstruction Using Operational Modal Analysis of Stay Cables Load Cells Data. In International Conference on Experimental Vibration Analysis for Civil Engineering Structures (pp. 211 - 220). Cham: Springer Nature Switzerland. Rossum, G. van; Drake, F. L., 2010. The Python Language Reference, Release 3.0.1 [Repr.].; Python documentation manual / Guido van Rossum; Fred L. Drake [ed.]; Python Software Foundation: Hampton, NH. Ruggieri, S., Nettis, A., Raffaele, D., Guido, B., Uva, G., 2024. Seismic Fragility and Risk Assessment of Reinforced Concrete Bridges Undergoing Elastomeric Bearing Deformations Induced by Landslide. BER, 1, 21424003 - 1:13. Ruggieri, S.; Cardellicchio, A.; Nettis, A.; Renò, V.; Uva, G., 2023. Using Machine Learning Approaches to Perform Defect Detection of Existing Bridges. Procedia Structural Integrity, 44, 2028 – 2035. https://doi.org/10.1016/j.prostr.2023.01.259 . Scozzese, F., Naz, S., Leoni, G., & Dall’Asta, A. (2025, July). Nonlinear Response Identification of Precast RC Bridges with Post -Tensioned Internal Tendons. In International Conference on Experimental Vibration Analysis for Civil Engineering Structures (pp. 153 - 160). Cham: Springer Nature Switzerland. Scozzese F., Minnucci L., 2024. Seismic Risk Analysis of Existing Link Slab Bridges Using Novel Fragility Functions. Applied Sciences, 14(1):112. DOI: 10.3390/app14010112 Scozzese, F., Tubaldi, E., Dall’Asta, A., 2023. Damage Metrics for Masonry Bridges under Scour Scenarios. Engineering Structures, 296, 116914. https://doi.org/10.1016/j.engstruct.2023.116914. Tubaldi, E., Scozzese, F., De Domenico, D., Dall’Asta, A., 2021. Effects of Axial Loads and Higher Order Modes on the Seismic Response of Tall Bridge Piers. Engineering Structures, 247, 113134. https://doi.org/10.1016/j.engstruct.2021.113134. Wardhana, K., Hadipriono, F. C., 2003. Analysis of Recent Bridge Failures in the United States. J. Perform. Constr. Facil 17 (3), 144 – 150. https://doi.org/10.1061/(ASCE)0887 - 3828(2003)17:3(144). Yaw Adu - Gyamfi; Chase, S.; Aktan; Minaie, 2016. Synthesis of National and International Methodologies Used for Bridge Health Indices. https://doi.org/10.13140/RG.2.1.1558.1683 . Yepes - Bellver, L., Brun - Izquierdo, A., Alcalá, J., & Yepes, V. (2025). Surrogate- assisted cost optimization for post -tensioned concrete slab bridges. Infrastructures , 10 (2), 43. Zhang, G., Liu, Y., Liu, J., Lan, S., Yang, J., 2022. Causes and Statistical Characteristics of Bridge Failures: A Review. Journal of Traffic and Transportation Engineering (English Edition) 9 (3), 388 – 406. https://doi.org/10.1016/j.jtte.2021.12.003