PSI - Issue 62

S. Anastasia et al. / Procedia Structural Integrity 62 (2024) 1061–1068 Author name / Structural Integrity Procedia 00 (2019) 000 – 000

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illustrate the adeptness in filtering out inconsequential variations in Environmentally-Induced Operational Changes (EOC) monitoring data. The study successfully demonstrates the capacity for damage detection and quantification through the examination of quality control graphs. The Quisi bridge case study was specifically chosen to highlight the robustness of the Singular Value Decomposition (SVD) of Toeplitz matrices in the SSI-cov identification algorithm. This algorithm proves instrumental in handling dense dynamic test campaigns and conducting Operational Modal Analysis (OMA) for lengthy multi-span bridges. Furthermore, the research aligns with the latest requirements outlined in the Italian guidelines for viaduct monitoring, ensuring compliance with continuous SHM practices. Acknowledgements The authors also acknowledge the regional administration of the Valencian Community in Spain for the financial support provided by the projects GRISOLIAAP/2019/122 and APOTIP/2021/003, and the European Union for the Project DESDEMONA Grant Agreement n. 800687. Finally, the authors would also like to express their gratitude to FGV (Ferrocarrils de la Generalitat Valenciana) and CALSENS S.L., for their invaluable cooperation and recommendations. References Alessandro Cabboi, F. M. (2016, February 28). Automated modal identification and tracking: Application to an iron arch bridge. Structural Control Health Monitoring, Volume 24, 1854. Retrieved from https://doi.org/10.1002/stc.1854 Andrea Meoni, E. G.-M. (2023). A New Methodology for the Prioritization of Visual Inspections of Bridges and Viaducts. Eurostuct. Ernst & Sohn, Wiley Brand. C Rainieri, G. F. (2014). Operational modal analysis of civil engineering structures. New York: Springer. C. Cremona, J. S. (2018). Structural Health Monitoring as a Big-Data Problem. Structural Engineering International, 243-254. Cawley, P. (2018). Structural health monitoring: Closing the gap between research and industrial deployment. Structural health monitoring. Chunwei Zhang, A. A. (2022). Vibration feature extraction using signal processing techniques for structural health monitoring: A review. Mechanical Systems and Signal Processing. Comission, E. (2011). Directorate-General for Mobility and Transport. In White Paper on Transport: Roadmap to a Single European Transport Area: Enrique García-Macías, A. R. (2022). P3P: a software suite for autonomous SHM of bridge networks. Journal of Civil Structural Health Monitoring. Enrique García-Macías, F. U. (2020). MOVA/MOSS: Two integrated software solutions for comprehensive Structural Health Monitoring of structures. Mechanical Systems and Signal Processing. F. Magalhães, A. C. (2012). Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection. Mechanical Systems and Signal Processing, 212-228. Filipe Magalhães, Á. C. (2011). Explaining operational modal analysis with data from an arch bridge. Mechanical Systems and Signal Processing, 1431-1450. Fu You Xu, M. J. (2016). Recent Highway Bridge Collapses in China: Review and Discussion. Journal of Performance of Constructed Facilities. GM Calvi, M. M. (2019). Once upon a Time in Italy: The Tale of the Morandi Bridge. Structural Engineering International, 198-217. HAQ G., O. H. (2019). Research and Innovation in Bridge Maintenance, Inspection and Monitoring: A European Perspective Based on the Transport Research and Innovation Monitoring and Information System (TRIMIS). Luxembourg: EU Publications. Henrion, R. (1994). N-way principal component analysis theory, algorithms and applications. Chemometrics and Intelligent Laboratory Systems, 1-23. P Van Overschee, B. D. (1996). Subspace identification for linear systems: Theory Implementation Applications. Kluwer Academic Publishers (1996). Paulsson B., O. J. (2010). Sustainable Bridges–Results from a European Integrated Research Project. Proceedings of the IABSE Symposium Report, 17–24. R Brincker, L. Z. (2000). Modal identification from ambient responses using frequency domain decomposition. 18*'International Modal Analysis Conference 2000. Reynders, E. (2012). System Identification Methods for (Operational) Modal Analysis: Review and Comparison. Archives of Computational Methods in Engineering , 51–124. Rosmaini Ahmad, S. K. (2012). An overview of time-based and condition-based maintenance in industrial application. Computers & Industrial Engineering, 135-149. Shanjiang Zhu, D. L. (2010). The traffic and behavioral effects of the I-35W Mississippi River bridge collapse. Transportation Research Part A: Policy and Practice, 771-784. Towards a Competitive and Resource-Efficient Transport System. Luxembourg: Office of the European Union. CR Farrar, K. W. (2012). Structural health monitoring: a machine learning perspective. New York: Wiley & Sons.