PSI - Issue 84

Antonio Di Pietro et al. / Procedia Structural Integrity 84 (2026) 57–64

64

comparison, deformation analysis, and assessment of soil-structure interactions. The workflow also supports applications related to asset management, such as monitoring structural evolution over time, identifying local geometric irregularities, and improving the spatial resolution of information available for maintenance planning. Overall, the case study demonstrates the effectiveness of a LiDAR-based airborne methodology for bridge inspection in environments characterised by limited accessibility, variable elevations, and vegetation cover. The workflow provides a reproducible approach for acquiring high-density, metrically consistent data suitable for a wide range of structural and geospatial analyses. Acknowledgements This study was supported by FABRE – “Research consortium for the evaluation and monitoring of bridges, viaducts and other structures” (www.consorziofabre.it/en). Any opinion expressed in the paper does not necessarily reflect the view of the funder. References Bongiovanni, G., Cellilli, A., Clemente, P., Giovinazzi, S., Ormando, C., 2021. Seismic response of a r.c. viaduct during different earthquakes. In: Cunha, A., Caetano, E. (eds) Proc. 10th Int Conf Struct Health Monit Intell Infrastructures (SHMII-10, Porto, 30 June – 2 July 2021), ABS_247. Blaso L., Clemente P., Giovinazzi S., Giuliani G., Gozo N., Ormando C., Pollino M., Rosato V. (2022). Towards Standardized and Interoperable Platforms for supporting the Seismic Vulnerability Assessment and Seismic Monitoring of Italian Bridges and Viaducts. Lecture Notes in Civil Engineering. Springer, Cham, 200, pp. 471-480. https://doi.org/10.1007/978-3-030-91877-4_54. Buffarini, G., Clemente, P., Giovinazzi, S., Ormando, C., Pollino, M., Rosato, V., 2022. Preventing and managing risks induced by natural hazards to critical infrastructures. Infrastructures 7(6), 76. https://doi.org/10.3390/infrastructures7060076. Buffarini, G., Clemente, P., Giovinazzi, S., Ormando, C., Scafati, F., 2023. Structural assessment of the pedestrian bridge accessing Civita di Bagnoregio, Italy. J Civil Struct Health Monit. 13(8); 1499–1516. https://doi.org/10.1007/s13349-022-00628-7. Capozzoli, L., Salvia, G., De Martino, G., et al., in press. Electrical Resistivity Tomography and Ground Penetrating Radar for bridge inspection and landslide monitoring: an overview. Int. J. of Bridge Engineering, Management and Research (IJBEMR). Clemente, P., Bongiovanni, G., Buffarini, G., Saitta, F., 2019. Structural health status assessment of a cable-stayed bridge by means of experimental vibration analysis. J Civil Struct Health Monit. 9(5), 655–669, https://doi.org/10.1007/s13349-019-00359-2. Commander, B., 2019. Evolution of bridge diagnostic load testing in the USA. Frontiers in Built Environment, 5, 57. https://doi.org/10.3389/fbuil.2019.00057. Di Pietro, A., Buffarini, G., Clemente et al., 2024. UAS-based methodology to create digital models of bridges and viaducts. Procedia Struct Integr. 62, 755-762. https://doi.org/10.1016/j.prostr.2024.09.103. Gattulli, V., Chiaramonte, L., 2005. Condition assessment by visual inspection for a bridge management system. Computer - Aided Civil and Infrastructure Engineering, 20(2), 95-107. https://doi.org/10.1111/j.1467-8667.2005.00379.x. Kaartinen, E., Dunphy, K., Sadhu, A., 2022. LiDAR-based structural health monitoring: Applications in civil infrastructure systems. Sensors, 22(12), 4610. https://doi.org/10.3390/s22124610. Kim, I.H., Sungsik, Y., Lee, J.H., Jung, S., Cho, S., Jung H.J., 2022. A comparative study of bridge inspection and condition assessment between manpower and a UAS. Drones 6(11), 355. https://doi.org/10.3390/drones6110355. Maboudi, M., Backhaus, J., Mai, I., et al., 2025. Very high resolution bridge deformation monitoring using UAV-based photogrammetry. J Civil Struct Health Monit 15, 3489–3508. https://doi.org/10.1007/s13349-025-01001-0. Mandirola, M., Casarotti, C., Peloso, S., Lanese, I., Brunesi, E., Senaldi, I., 2022. Use of UAS for damage inspection and assessment of bridge infrastructures. Int J Disaster Risk Reduct,72:102824. https://doi.org/10.1016/j.ijdrr.2022.102824. MIT – CSLLPP. Linee Guida per la classificazione e gestione del rischio, la valutazione della sicurezza ed il monitoraggio dei ponti esistenti (LG2022). 2022. Ormando, C., Lucaferri, V., Giocoli, A., Clemente, P., Buffarini, G., Tofani, A., 2024 Index of Attention for a simplified condition assessment and classification of bridges. Infrastructures 9(8), 125. https://doi.org/10.3390/infrastructures9080125. Ormando, C., Raeisi, F., Clemente, P., Mufti, A., 2022. The SHM as higher level inspection in the evaluation of structures. Lecture Notes in Civil Engineering. Cham: Springer; 2022. p. 452–461. https://doi.org/10.1007/978-3-030-91877-4_52. Saidin, S. S., Jamadin, A., Abdul Kudus, S., Mohd Amin, N., & Anuar, M. A., 2022. An overview: The application of vibration-based techniques in bridge structural health monitoring. Int. J. of Concrete Structures and Materials, 16(1), 69. https://doi.org/10.1186/s40069-022-00557-1. Tian, Y., Zhang, J., Lyu, Y., Zhang, J., 2024. Comprehensive review of noncontact sensing technologies for bridge condition monitoring and assessment. Intelligent Transportation Infrastructure, 3, liae012. https://doi.org/10.1093/iti/liae012. Al Shaini, I., Blanco, A. C. T., 2023. Bridge deck surface damage assessment using point cloud data. Advances in Bridge Engineering, 4(1), 31. https://doi.org/10.1186/s43251-023-00110-4.