PSI - Issue 78

Andrea Nettis et al. / Procedia Structural Integrity 78 (2026) 1404–1411

1411

MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4 – D. D. 1033 June 17, 2022, CN00000023) - SPOKE 7 “CCAM, Connected Networks and Smart Infrastructure” - WP4 (CUP D93C22000410001). References Biondini, F., Camnasio, E., Palermo, A., 2014. Lifetime seismic performance of concrete bridges exposed to corrosion. Structure and Infrastructure Engineering 10(7), 880-900. Borzi, B., et al., 2015. Seismic vulnerability of the Italian roadway bridge stock. Earthquake Spectra 31(4), 2137-2161. Cardellicchio, A., et al., 2021. View VULMA: Data set for training a machine-learning tool for a fast vulnerability analysis of existing buildings. Data 7(1), 4. Cardone, D., 2014. Displacement limits and performance displacement profiles in support of direct displacement ‐ based seismic assessment of bridges. Earthquake Engineering & Structural Dynamics 43(8), 1239-1263. Deal, B., Grove, A., 1965. General Relationship for the Thermal Oxidation of Silicon. Journal of Applied Physics 36, 37 – 70. Federal Emergency Management Agency (FEMA), 2012. Hazus Earthquake Model Technical Manual - Hazus 5.1. Washington, DC. Di Mucci, V. M., et al., 2024. Artificial intelligence in structural health management of existing bridges. Automation in Construction 167, 105719. Di Mucci, V. M., Cardellicchio, A., Nettis, A., Ruggieri, S., Renò, V., Uva, G., 2025. CV-based corrosion classification to improve fast seismic assessment of existing RC bridge piers. In: COMPDYN 2025 - 10th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Rhodes Island, Greece, June. Di Mucci, V. M., Cardellicchio, A., Ruggieri, S., Nettis, A., Renò, V., Uva, G., 2025. Computer Vision-based assessment of seismic fragility and risk of corroded RC circular bridge piers. Submitted. Du, Y. G., Clark, L. A., Chan, A. H. C., 2005. Effect of corrosion on ductility of reinforcing bars. Magazine of Concrete Research 57(7), 407-419. Fagerlund, G., 2001. CONTECVET: A validated Users Manual for assessing the residual service life of concrete structures. Flotzinger, J., Rösch, P. J., Braml, T., 2024. dacl10k: benchmark for semantic bridge damage segmentation. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. Jalayer, F., et al., 2017. Analytical fragility assessment using unscaled ground motion records. Earthquake Engineering & Structural Dynamics 46(15), 2639-2663. Mander, J. B., Priestley, M. J. N., Park, R., 1988. Theoretical stress-strain model for confined concrete. Journal of Structural Engineering 114(8), 1804-1826. McKenna, F., Fenves, G. L., Scott, M. H., 2000. Open system for earthquake engineering simulation. University of California, Berkeley, CA 40. Miluccio, G., et al., 2021. Traffic-load fragility models for prestressed concrete girder decks of existing Italian highway bridges. Engineering Structures 249, 113367. Ministero delle Infrastrutture e dei Trasporti, 2020. Linee Guida per la Classificazione e Gestione del Rischio, la Valutazione della Sicurezza ed il Monitoraggio dei Ponti Esistenti. Nettis, A., et al., 2021. Cloud Capacity Spectrum Method: Accounting for record-to-record variability in fragility analysis using nonlinear static procedures. Soil Dynamics and Earthquake Engineering 150, 106829. Nettis, A., Raffaele, D., Uva, G., 2024. Seismic risk-informed prioritization of multi-span RC girder bridges considering knowledge-based uncertainty. Bulletin of Earthquake Engineering 22(2), 693-729. Opabola, E. A., 2022. Residual seismic capacity of beam-column components with corroded reinforcement. Construction and Building Materials 332, 127269. Pinto, F., et al., 2024. Probabilistic seismic assessment of multispan RC highway bridges considering soil-structure interaction and chloride-induced corrosion. Engineering Structures 301, 117257. Qu, P., et al., 2022. MCCA-Net: Multi-color convolution and attention stacked network for Underwater image classification. Cognitive Robotics 2, 211-221. Ruggieri, S., et al., 2025. Using attention for improving defect detection in existing RC bridges. IEEE Access. Smerzini, C., Galasso, C., Iervolino, I., Paolucci, R., 2014. Ground motion record selection based on broadband spectral compatibility. Earthquake Spectra 30, 1427 – 1448. Stefanidou, S. P., Kappos, A. J., 2019. Bridge-specific fragility analysis: when is it really necessary?. Bulletin of Earthquake Engineering 17, 2245 2280. Vu, N. S., Yu, B., Li, B., 2016. Prediction of strength and drift capacity of corroded reinforced concrete columns. Construction and Building Materials 115, 304-318. Vu, N. S., Li, B., 2018. Seismic performance of flexural reinforced concrete columns with corroded reinforcement. Xu, B., et al., 2024. Machine learning – aided rapid estimation of multilevel capacity of flexure- identified circular concrete bridge columns with corroded reinforcement. Journal of Structural Engineering 150(3), 04024002. Zelaschi, C., Monteiro, R., Pinho, R., 2016. Parametric characterization of RC bridges for seismic assessment purposes. Structures 7.

Made with FlippingBook Digital Proposal Maker