PSI - Issue 44
Dora Foti et al. / Procedia Structural Integrity 44 (2023) 1506–1513 D. Foti et al./ Structural Integrity Procedia 00 (2022) 000 – 000
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bridge axis, as they are oriented according to the water flow to minimize the resistance. So, this geometrical configuration will most probably induce some mixed bending-torsion vibrational modes that would be verified from the future results of the in-situ monitoring and dynamic identification of the bridge. This work focuses on having identified a new methodology for exporting a simple model such as that of the Santa Teresa Bridge that can also be applied to more complex historical buildings. Future aims will be to dynamically identify the bridge based on the results obtained from an experimental campaign that uses accelerograms to detect environmental vibrations of the bridge and the vibrations obtained by the impact of a truck on bumpers positioned on the deck. Acknwledgement This work was funded by the Italian Ministery Progetti di Rilevante Interesse Nazionale 2022 (PRIN) : “Smart monitoring for safety of existing structures and infrastructures (S- MoSES)” project. Thanks to the municipality of Bitonto for their availability for the operations concerning the experimental campaign. References Barba, S., Lomonaco, P., 2016. Introducción al relevamiento digital. Publicación temática de arquitectura , Revista A&P,n.4, pp. 78-91. Biscarini, C., Catapano, I., Cavalagli, N., Ludeno, G., Pepe, F.A., Ubertini F., 2020. UAV Photogrammetry, Infrared Thermography and GPR for Enhancing Structural and Material Degradation Evaluation of the Roman Masonry Bridge of Ponte Lucano in Italy. NDT & E Int, 102287. Bru, D., Ivorra, S., Baeza, F.J., Reynau, R., Foti, D., 2015. OMA Dynamic Identification of a Masonry Chimney With Severe Cracking Condition, Proc. of the 6th International Operational Modal Analysis Conference, Gijón, Spain, May 12-14, 2015, paper ID 855, pp. 59-60, ISBN: 978 84-617-3880-9. Civera, M., Mugnaini, V., Zanotti Fragonara, L., 2022. Machine learning‐based automatic operational modal analysis: A structural health monitoring application to masonry arch bridges. Structural Control and Health Monitoring, e3028. De Marco, R., Miceli, A., Parrinello, S., (2020). An assessment on morphological survey calibration and the automation of digital drawing for the reliable documentation and conservation analysis of out-ofscale buildings. Metrology for Archaeology and Cultural Heritage. Proceedings of the 2020 IMEKO TC-4 International Conference. Perugia. Diaferio, M.; Foti, D., Sepe, V., 2007. Dynamic Identification of the Tower of the Provincial Administration Building, Bari, Italy, In Eleventh International Conference on Civil, Structural and Environmental Engineering Computing, Malta, paper n. 2, 18-21 Sept. 2007. Diaferio, M., Foti, D., La Scala, A., Sabbà, M.F., 2021. Design of the Set-Up for Ambient Vibration and Dynamic forced Tests on a Cable-Stayed Bridge. In 2021 AEIT International Annual Conference (AEIT) (pp. 1-5). IEEE. Foti, D., Ivorra, S., Sabbà, M.F., 2012. Dynamic investigation of an ancient masonry bell tower with operational modal analysis: a non destructive experimental technique to obtain the dynamic characteristics of a structure. The Open Constr Build Tech J. (6), 384-391 Foti, D., Giannoccaro, N.I., Vacca, V., Lerna, M., 2020. Structural Operativity Evaluation of Strategic Buildings Through Finite Element (FE) Models Validated by Operational Modal Analysis (OMA). Sensors, 20(11), 3252. Galliazzo V., 1995. I ponti romani. 2 vols. Treviso, Canova Editore. (In Italian) Gioffré, M., Gusella, V., Cluni, F., 2008. Performance evaluation of monumental bridges: testing and monitoring ‘Ponte delle Torri’ in Spoleto. Struct Infrastruct Eng, 4(2), 95-106. Grelle, F., Giardina, A., 1993. Canosa romana. Roma, "L'Erma" di Bretschneider (Ed.). (In Italian) Marta, R., 1989. Tecnica costruttiva romana. Roma, Edizioni Kappa. (In Italian) Pepi, C., Cavalagli, N., Gusella, V., Gioffrè, M., 2021. An integrated approach for the numerical modeling of severely damaged historic structures: Application to a masonry bridge. Advances in Engineering Software, 151, 102935. Ruocci, G., Ceravolo, R., De Stefano, A., 2009. Modal identification of an experimental model of masonry arch bridge. In Key Engineering Materials,Vol. 413, pp. 707-714. Trans Tech Publications Ltd. Sánchez-Aparicio, L. J., Bautista-De Castro, Á., Conde, B., Carrasco, P., Ramos, L.F., 2019. Non-destructive means and methods for structural diagnosis of masonry arch bridges. Automation in Constr, 104, 360-382.
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