PSI - Issue 62

Laura Ierimonti et al. / Procedia Structural Integrity 62 (2024) 832–839 Ierimonti etal. / Structural Integrity Procedia 00 (2019) 000 – 000

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6. Conclusions In the context of this study, an innovative unified framework for bridges, built upon DBN integrating Structural Health Monitoring (SHM) data and findings from visual inspections is proposed. This comprehensive framework covers the selection of DS and DM, the numerical modeling, the post-processing of SHM data, Bayesian model class selection, correlation between inspected defects and monitored damaged scenarios, and the updating of the belief DBN to support decision making. To validate the effectiveness of the approach, a single span post-tensioned bridge was selected as a case study, and DS related to the prestress system were simulated. DBNs are probabilistic graphical models that excel in representing and reasoning about dynamic systems over time. Their ability to model uncertainty and integrate prior knowledge is crucial in the field of SHM where data may be incomplete or subject to uncertainty. This makes DBNs a particularly effective choice for data fusion in bridge monitoring systems. Acknowledgements The first author acknowledges support by the PNRR project “STRIC - Centro internazionale per la ricerca sulle scienze e tecniche della ricostruzione fisica, economica e sociale” (in Italian) and by University of Perugia via the funded project “Study of multi-risk scenarios for natural disasters in the central-southern Italy and Sicily area: Understanding the past and present to protect the future” within the program “Fondo Ricerca di Ateneo, 2021. The second author acknowledges funding by FABRE – “Research consortium for the evaluation and monitoring of bridges, viaducts and other structures” ( www.consorziofabre.it/en) within the activities of the FABRE-ANAS 2021-2024 research program. The third and fourth authors acknowledge funding by the Italian Ministry of Education, University and Research (MIUR) through the project of national interest “TIMING – Time evolution laws for IMproving the structural reliability evaluation of existING post- tensioned concrete deck bridges” (Protocol No. P20223Y947). Any opinion expressed in the paper does not necessarily reflect the view of the funders. Behmanesh, I. and Moaveni, B., 2016. Accounting for environmental variability, modeling errors, and parameter estimation uncertainties in structural identification, Journal of Sound and Vibration, 374: 92-110. Brincker, R. and Ventura, C. E., 2015. Introduction to Operational Modal Analysis, John Wiley & Sons, Ltd. Bunce, A. and Hester, D. and Taylor, S. and Brownjohn, J. and Huseynov, F. and Xu, Y., 2023. A robust approach to calculating bridge displacements from unfiltered accelerations for highway and railway bridges, Mechanical Systems and Signal Processing, 200. H. 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