PSI - Issue 64

Maximilian Rohrer et al. / Procedia Structural Integrity 64 (2024) 1256–1263 Rohrer, Moeller, Lenzen / Structural Integrity Procedia 00 (2019) 000 – 000

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4. Conclusion and Outlook This contribution is part of the focus program SPP100+ of the german research foundation and presented the first results of the experimental investigation of vibration-based output-only measurements at the bridge Floßgrabenbrücke. First, the damage localization technique SP2E was briefly summarized, followed by the introduction of the bridge and the results regarding identified modes and changes in temperature and traffic. The SHM experiment will be completed with a large-scale experiment in 2024. The aim of the large-scale experiment is also to study the sensitivity of the damage localization method regarding placement and magnitude of the change of the mechanical system. Because the experimental structure is still in active use and will be in use for the foreseeable future, irreversible damaging the bridge is not an option. For this reason, a study of mass perturbations will be carried out. Extrapolation of laboratory experiments to bridge scale suggest that an additional mass of 20 to 40 tons is required, depending on the placement on the structure. This will be realized by a cargo truck that can be flexibly placed while the bridge is partially blocked. Acknowledgements This research has been financed by German Research Foundation (DFG) project funding (grant number 350257805), and within the priority program SPP 2388 100+ (grant number 501664543). The authors acknowledge gratefully the granted support. References Brunton, S. L., Kutz, J. N., 2019. Data-driven science and engineering: machine learning, dynamical systems and control. Cambridge University Press Bösche, T., Kaplan, F., Pirskawetz, S., Saloga, K., Steinbock, O., 2021. B1 – Brücke Altstädter Bahnhof in Brandenburg an der Havel, Bauwerksuntersuchung vor dem Rückbau. Landesbetrieb Straßenwesen Brandenburg Goodfellow, Y., Bengio, Y., Courville, A., 2016. Deep Learning. MIT press Holla, V., Vu, G., Timothy, J. J., Diewald, F., Gehlen, C., Meschke, G., 2021. Computational Generation of Virtual Concrete Mesostructures. Materials, 14.14, 3782 Katayama, T., 2005. Subspace methods for system identification. Springer Lenzen, A., Rohrer, M., Vollmering, M., 2021. Damage localization of mechanical structures considering environmental and operational conditions based on output- only system identification and H∞ -estimation. Mechanical Systems and Signal Processing 156, 107572. Lenzen, A., Vollmering, M., 2017. An output-only damage identification method based on theory and state projection estimation error (SP2E). Structural Control and Health Monitoring 24, 11. Lenzen, A., Moeller, M., Rohrer, M., 2024. Monitoring an der Floßgrabenbrücke in Zeitz-Experimente zur Systemidentifikation, Tagungsband Baustatik – Baupraxis 15, 491-498 Ljung, L., Andersson, C., Tiels, K., Schön, T. B., 2020. Deep Learning and System Identification. IFAC-PapersOnLine, 53, 2, 1175-1181 Milillo, P., Giardina, G., Perissin, D., Milillo, G., Coletta, A., Terranova, C., 2019. Pre-Collapse Space Geodetic Observations of Critical Infrastructure: The Morandi Bridge, Genoa, Italy. Remote Sensing, 11.12, 1403 Mitzkus, A., Sahre, M., Basedau, F., Hofmann, D., Beck, U., 2019. Fiber Bragg Gratings for In-Situ Stress Monitoring of Electrochemical Deposition. Journal of The Electrochemical Society, 166.6, B312 Niederleithinger, E., Epple, N., Fontoura Barroso, D., Clauß, F., Ahrens, M. A., Mark, P., 2020. Ultraschallbasierte Überwachung von Stahl- und Spannbetonkonstruktionen – erste Ergebnisse der DFG-Forschungsgruppe 2825 CoDA. BAM Sheng-wang, Z., 2007. Numeric simulation by grid-various finite-difference elastic wave equation. Oil Geophysical Prospecting, 42.6, 634 Strang, G., 2019. Linear Algebra and Learning from Data. Wellesley-Cambridge Press Van Overschee, P., De Moor, B. L., 1996. Subspace identification for linear systems: Theory – Implementation - Applications. Springer Verhaegen, M., Verdult, V., 2007. Filtering and system identification: a least squares approach. Cambridge University Press