PSI - Issue 64

Konrad Bergmeister et al. / Procedia Structural Integrity 64 (2024) 14–20 Konrad Bergmeister / Structural Integrity Procedia 00 (2019) 000 – 000

20

7

Acknowledgements The authors would like to thank Archetipo srl & A. Flora, D. Cardone; School of Engineering, University of Basilicata, Potenza, Italy, Dronica for providing some of the images included in the paper. References Abdallah, A.M., Atadero, R.A. and Ozbek, M.E., 2022. A state-of-the-art review of bridge inspection planning: Current situation and future needs. Journal of Bridge Engineering , 27 (2), p.03121001. Bagge, N., Plos, M. and Popescu, C., 2019. A multi-level strategy for successively improved structural analysis of existing concrete bridges: Examination using a prestressed concrete bridge tested to failure. Structure and Infrastructure Engineering, 15(1), pp.27-53. Buratti, G., Celati, S., Cosentino, A., Gaudioso, D., Mazzatura, I., Morelli, F., Messina, V. and Salvatore, W., 2022. The structural risk assessment of existing bridges in Tuscany (Italy) a quick survey-based method. In Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures: EUROSTRUCT 2021 1 (pp. 845-855). Springer International Publishing. Consolazio, G.R. and Cowan, D.R., 2005. Numerically efficient dynamic analysis of barge collisions with bridge piers. Journal of Structural Engineering, 131(8), pp.1256-1266. De Matteis, G., Bencivenga, P. and Zizi, M., 2021, August. Structural risk assessment of existing road bridges according to Italian Guidelines based on a territorial case study. In International Conference of the European Association on Quality Control of Bridges and Structures (pp. 527 534). Cham: Springer International Publishing. Decò, A. and Frangopol, D.M., 2011. Risk assessment of highway bridges under multiple hazards. Journal of Risk Research , 14 (9), pp.1057-1089. Deng, L., Wang, W. and Yu, Y., 2016. State-of-the-art review on the causes and mechanisms of bridge collapse. Journal of Performance of Constructed Facilities , 30 (2), p.04015005. Ellenberg, A., Kontsos, A., Moon, F. and Bartoli, I., 2016. Bridge related damage quantification using unmanned aerial vehicle imagery. Structural Control and Health Monitoring , 23 (9), pp.1168-1179. Frangopol, D.M., Dong, Y. and Sabatino, S., 2019. Bridge life-cycle performance and cost: analysis, prediction, optimisation and decision-making. In Structures and Infrastructure Systems (pp. 66-84). Routledge. Graybeal, B., Moore, M., Phares, B., Rolander, D. and Washer, G., 2001. Reliability of visual inspection for highway bridges, volume II: Appendices (No. FHWA-RD-01-021, Appendices). United States. Federal Highway Administration. Kim, I.H., Jeon, H., Baek, S.C., Hong, W.H. and Jung, H.J., 2018. Application of crack identification techniques for an aging concrete bridge inspection using an unmanned aerial vehicle. Sensors , 18 (6), p.1881. Koch, C., Paal, S.G., Rashidi, A., Zhu, Z., König, M. and Brilakis, I., 2014. Achievements and challenges in machine vision-based inspection of large concrete structures. Advances in Structural Engineering , 17 (3), pp.303-318. Lei, B., Wang, N., Xu, P. and Song, G., 2018. New crack detection method for bridge inspection using UAV incorporating image processing. Journal of Aerospace Engineering , 31 (5), p.04018058. Liang, X., 2019. Image‐based post‐disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization. Computer‐Aided Civil and Infrastructure Engineering , 34 (5), pp.415-430. Mandirola, M., Casarotti, C., Peloso, S., Lanese, I., Brunesi, E. and Senaldi, I., 2022. Use of UAS for damage inspection and assessment of bridge infrastructures. International Journal of Disaster Risk Reduction , 72 , p.102824. Mazzatura, I., Natali, A., Salvatore, W., Principi, L., Morici, M. and Dall'Asta, A., 2023. A methodological proposal for the analysis of bridges inspections data according to the Italian Guidelines. ce/papers, 6(5), pp.1399-1404. Moore, M., Phares, B.M., Graybeal, B., Rolander, D., Washer, G. and Wiss, J., 2001. Reliability of visual inspection for highway bridges, volume I (No. FHWA-RD-01-105). Turner-Fairbank Highway Research Center. Morgenthal, G., Hallermann, N., Kersten, J., Taraben, J., Debus, P., Helmrich, M. and Rodehorst, V., 2019. Framework for automated UAS-based structural condition assessment of bridges. Automation in Construction , 97 , pp.77-95. O’Reilly, G.J. and Monteiro, R., 2019. On the efficient risk assessment of bridge structures. COMPDYN Proceedings, pp.473-483. Pallante, L., Meriggi, P., D’Amico, F., Gagliardi, V., Napolitano, A., Paolacci, F., Quinci, G., Lorello, M. and de Felice, G ., 2024. An Integrated Data-Driven System for Digital Bridge Management. Buildings, 14(1), p.253. Pregnolato, M., 2019. Bridge safety is not for granted – A novel approach to bridge management. Engineering Structures , 196 , p.109193. Sabato, A., Dabetwar, S., Kulkarni, N.N. and Fortino, G., 2023. Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review. IEEE Sensors Journal , 23 (5), pp.4672-4684. Seo, J., Duque, L. and Wacker, J., 2018. Drone-enabled bridge inspection methodology and application. Automation in construction , 94 , pp.112 126. Strauss, A., Bergmeister, K., Bigaj-van Vliet, A., Daró, P., van Meerveld, H.. Condition-states and low limit maintenance thresholds of transport infrastructures in a European Context . Eurostruct2023 Congress Vienna. Thoft-Christensen, P., 2009. Life-cycle cost-benefit (LCCB) analysis of bridges from a user and social point of view. Structures & Infrastructure Engineering , 5 (1), pp.49-57. Turksezer, Z.I., Giordano, P.F., Limongelli, M.P. and Iacovino, C., 2021. Inspection of roadway bridges: A comparison at the European level. In Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations (pp. 2006-2014). CRC Press. Zink, J. and Lovelace, B., 2015. Unmanned aerial vehicle bridge inspection demonstration project (No. MN/RC 2015-40).