PSI - Issue 64

Marco Pirrò et al. / Procedia Structural Integrity 64 (2024) 669–676 Author name / Structural Integrity Procedia 00 (2019) 000–000

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Acknowledgements

This DOI 10.54499/CEECINST/00010/2021/CP1770/CT0005), as well as: Base Funding - UIDB/04708/2020 with DOI 10.54499/UIDB/04708/2020 (https://doi.org/10.54499/UIDB/04708/2020) and Programmatic Funding – UIDP/04708/2020 with DOI 10.54499/UIDP/04708/2020 (https://doi.org/10.54499/UIDP/04708/2020) of the CONSTRUCT – Instituto de I&D em Estruturas e Construções – funded by national funds through the FCT/MCTES (PIDDAC). The authors would also like to thank the collaboration and support provided by Movhera - Hidroelétricas do Norte, S.A and ENGIE Douro - Hidroeléctricas do Douro. References Borlenghi, P., Gentile, C., Pirrò, M., 2023. Continuous dynamic monitoring and automated Modal Identification of an arch bridge. In: Rizzo, P., Milazzo, A. (Ed.). European Workshop on Structural Health Monitoring, Springer, Cham. Cabboi, A., Magalhães, F., Gentile, C., Cunha, À., 2017. Automated modal identification and tracking: application to an iron arch bridge. Structural Control and Health Monitoring 24 (1), e1854. Cross, E., Koo, K., Brownjohn, J, Worden, K., 2013. Long-term monitoring and data analysis of the Tamar Bridge. Mechanical Systems and Signal Processing 35(1-2), 16–34. Cross, E., Worden, K., Chen, Q., 2011. Cointegration: a novel approach for the removal of environmental trends in structural health monitoring data. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 467(2133): 2712–2732. Gentile, C., Saisi, A., 2015. Continuous dynamic monitoring of a centenary iron bridge for structural modification assessment. Frontiers of Structural and Civil Engineering 9, 26–41. Hotelling, H., 1947. Multivariate quality control-illustrated by the air testing of sample bombsights. In: Eisenhart, C. et al. (Eds.). Center, Hampton, 1992. Johansen, S., 1988. Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control 12 (2-3), 231–254. Magalhães, F., Cunha, À., Caetano, E., 2012. Vibration based structural health monitoring of an arch bridge: from automated OMA to damage detection. Mechanical Systems and Signal Processing 28, 212–228. Pappa, R., Elliott, K., Schenk, A., 1993. A consistent-mode indicator for the Eigen system realization algorithm. In: NASA technical memorandum 107607, NASA Langley Research. Peeters, B., De Roeck, G., 1999. Reference-based stochastic subspace identification for output-only modal analysis. Mechanical Systems and Signal Processing 13(6), 855–878. Peeters, B., De Roeck, G., 2001. One-year monitoring of the Z24-bridge: environmental effects versus damage events. Earthquake Engineering & Structural Dynamics 30, 149–171. Pereira, S., Magalhães, F., Gomes, J., Cunha, Á, Lemos, J., 2021. Vibration-based damage detection of a concrete arch dam. Engineering Structures 235, 112032. Pereira, S., Magalhães, F., Gomes, J., Cunha, Á., 2022. Modal tracking under large environmental influence. Journal of Civil Structural Health Monitoring 12, 179–190. Pirrò, M., 2021. Automated operational modal analysis and tracking: development of software tools and applications, MSc Thesis, Politecnico di Milano, Italy. Sharma, S., 1995. Applied Multivariate Techniques, John Wiley & Sons, New York. Sohn, H., Farrar, C., Hunter, N., Worden, K., 2001. Structural Health Monitoring Using Statistical Pattern Recognition Techniques. Journal of Dynamic Systems, Measurement, and Control 123(4), 706–711. Stock, J., Watson, M., 1988. Testing for common trends. Journal of the American Statistical Association 83, 1097–1107. Tomè, E., Pimentel, M., Figueiras, J., 2020. Damage detection under environmental and operational effects using cointegration analysis - Application to experimental data from a cable-stayed bridge. Mechanical System and Signal Processing 135, 106386. Turrisi, S., Cigada, A., Zappa, E., 2022. A cointegration-based approach for automatic anomalies detection in large-scale structures. Mechanical Systems and Signal Processing 166, 108483. work was financially supported by Institutional CEEC (with