PSI - Issue 62
Gallipoli Maria Rosaria et al. / Procedia Structural Integrity 62 (2024) 940–945 Author name / Structural Integrity Procedia 00 (2019) 000 – 000
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4. Conclusion We applied and validated a multimethodological approach using FSA, FDD, ANDI and NonPaDan to estimate the main modal parameters of the Gravina and Monticello bridges. It consisted of experimental non-invasive, non destructive and low-cost seismic measurements. The methods used allowed us to investigate the target infrastructure at multiple levels and depths. The bridges were monitored both in their overall behaviour and at specific key points. The main advantage of this experimental approach is that it uses seismic ambient noise data, which can be quickly and easily recorded using a low-cost, non-invasive seismic sensor array. No detours, traffic stops or interruptions to bridge use are required for the recordings. This approach was validated on two bridges that differ in typology and year of construction. For the Gravina bridge, the estimated structural characteristics represent the zero point of the infrastructure, which is important information to follow the evolution of the health state of the structure. For the Monticello viaduct, these estimates allowed some considerations to be made on the degree of degradation of the spans. The results of the analyses carried out on different datasets using different data analysis techniques are in very good agreement, thus confirming the robustness of the proposed approach. This knowledge is the core of SHM and constitutes the necessary input for: (1) definition of behavioural thresholds useful for the automatic detection of critical issues in the dynamic behaviour of the monitored bridge; (2) the monitoring of the performance of the bridge during operation to determine the best maintenance strategies. The presented approach could be the starting point for an innovative SHM paradigm to overcome the limitations associated with current approaches to inspection, assessment, maintenance and design of existing bridges. References Bindi, D., Petrovic, B., Karapetrou, S., Manakou, M., Boxberger, T., Raptakis, D., Pitilakis, K.D., Parolai, S., 2015. Seismic response of an 8-story RC-building from ambient vibration analysis. Bullettin of Earthquake Engineering, 13, 2095 – 2120. https://doi.org/10.1007/s10518-014-9713 y Borlenghi, P., Gentile, C., Zonno, G., 2022. Monitoring Reinforced Concrete Arch Bridges with Operational Modal Analysis. In: Pellegrino, C., Faleschini, F., Zanini, MA., et al (Ed.). Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures. Springer International Publishing, Cham, pp. 361 – 371. García-Macías, E., Ubertini, F., 2021. Structural assessment of bridges through ambient noise deconvolution interferometry: application to the lateral dynamic behaviour of a RC multi-span viaduct. Archive of Mechanical Engineering, 21, 123. https://doi.org/10.1007/s43452-021-00273 9. García-Macías, E., Ubertini, F., 2019. Seismic interferometry for earthquake-induced damage identification in historic masonry towers. Mechanical Systems and Signal Processing, 132, 380 – 404. https://doi.org/10.1016/j.ymssp.2019.06.037 Karapetrou, S., Manakou, M., Bindi, D., Petrovic, B., Pitilakis, K., 2016. “Time - building specific” seismic vulnerability assessment of a hospital RC building using field monitoring data. Engineering Structures 112:114 – 132. https://doi.org/10.1016/j.engstruct.2016.01.009 Lacanna, G., Ripepe, M., Coli, M., et al (2019) Full structural dynamic response from ambie nt vibration of Giotto’s bell tower in Firenze (Italy), using modal analysis and seismic interferometry. NDT & E International 102:9 – 15. https://doi.org/10.1016/j.ndteint.2018.11.002 Meixedo, A., Ribeiro, D., Santos, J., Calçada, R., Todd, M., 2021. Progressive numerical model validation of a bowstring-arch railway bridge based on a structural health monitoring system. Journal of Civil Structural Health Monitoring 11, 421 – 449. https://doi.org/10.1007/s13349-020 00461w. Petrovic, B., Bindi, D., Pilz, M., Serio, M., Orunbaev, S., Niyazov, J., Hakimov, F., Yasunov, P., Begaliev, U.T., Parolai, S., 2015. Building monitoring in Bishkek and Dushanbe by the use of ambient vibration analysis. Annals of Geophysics, 58. https://doi.org/10.4401/ag-6679. Petrovic, B., Dikmen, S.U., Parolai, S., 2018. Real data and numerical simulations-based approaches for estimating the dynamic characteristics of a tunnel formwork building. Bullettin of Earthquake Engineering, 16, 1633 – 1656. https://doi.org/10.1007/s10518-017-0250-3 Petrovic, B., Parolai, S., Romanelli, M., Affatato, A., Petronio, L., Barbagallo, A., Sorgo, D., Stefani, M., Caputo, R., 2019. An innovative approach for a better understanding of the seismic interaction between soil and structures: The Ferrara test site. Bollettino di Geofisica Teorica ed Applicata, 60, pp.140 – 147. Skłodowska, A.M., Parol ai, S., Petrovic, B., Romanelli, F., 2023. Soil-structure interaction assessment combining deconvolution of building and field recordings with polarization analysis: application to the Matera (Italy) experiment. Bullettin of Earthquake Engineering, 21, 5867 – 5891. https://doi.org/10.1007/s10518-023-01750-7. Todorovska, M.I., Niu, B., Lin, G., Cao, C., Wang, D., Cui, J., Wang, F., Trifunac, M.D., Liang, J., 2020. A new full-scale testbed for structural health monitoring and soil – structure interaction studies: Kunming 48-story office building in Yunnan province, China. Structural Control and Health Monitoring, 27, e2545. https://doi.org/10.1002/stc.2545. Rainieri, C., Fabbrocino, G., 2014. Operational Modal Analysis of Civil Engineering Structures. Springer New York, New York, NY Zonno, G., Gentile, C., 2021. Assessment of Similar Reinforced Concrete Arch Bridges by Operational Modal Analysis and Model Updating. In: Rainieri C, Fabbrocino G, Caterino N, et al (Ed.). Civil Structural Health Monitoring. Springer International Publishing, Cham, 853 – 868
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