PSI - Issue 84

Michele Morici et al. / Procedia Structural Integrity 84 (2026) 89–96

96

Figueiredo, E., Brownjohn, J., 2022. Three decades of statistical pattern recognition paradigm for SHM of bridges. Structural Health Monitoring, 21, 3018–3054. Giri P., Ierimonti L., García-Macías E., Ubertini F., Venanzi I., 2024. Bayesian-based multi-class damage identification on prestressed reinforced concrete bridges. Structure and Infrastructure Engineering. Hoult, N.A., Fidler, P.R.A., Hill, P.G., Middleton, C.R., 2010. Long-Term Wireless Structural Health Monitoring of the Ferriby Road Bridge. J. Bridge Eng. 15, 153–159. Ierimonti, L., Cavalagli, N., Venanzi, I., García-Macías, E., Ubertini, F., 2023. A Bayesian-based inspection-monitoring data fusion approach for historical buildings and its post-earthquake application to a monumental masonry palace. Bulletin of Earthquake Engineering,21(2), 1139– 1172. Jiang, L., Yang, H., Liu, W., Ye, Z., Pei, J., Liu, Z., Fan, J., 2024. Early Warning for Continuous Rigid Frame Bridges Based on Nonlinear Modelling for Temperature-Induced Deflection. Sensors 24, 3587. Krkoška, L., Moravčík, M., 2015. The Analysis of Thermal Effect on Concrete Box Girder Bridge. Procedia Engineering 111, 470 –477. Kromanis, R., Kripakaran, P., 2014. Predicting thermal response of bridges using regression models derived from measurement histories. Computers & Structures 136, 64–77. Kromanis, R., Kripakaran, P., 2016. SHM of bridges: characterising thermal response and detecting anomaly events using a temperature-based measurement interpretation approach. J Civil Struct Health Monit 6, 237–254. Kromanis, R., Kripakaran, P., 2017. Data-driven approaches for measurement interpretation: analysing integrated thermal and vehicular response in bridge structural health monitoring. Advanced Engineering Informatics 34, 46–59. Li, Z.X., Chan, T.H.T., Zheng, R., 2003. Statistical analysis of online strain response and its application in fatigue assessment of a long-span steel bridge. Engineering Structures 25, 1731–1741. Ling, T.Y., He, W., Wu, H.B., Deng, L., 2022. Resonances of highway bridges induced by autonomous truck platooning, in: Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability. CRC Press, London, pp. 166–173. Lorenz, R., Petryna, Y., Lubitz, C., Lang, O., Wegener, V., 2024. Thermal deformation monitoring of a highway bridge: combined analysis of geodetic and satellite-based InSAR measurements with structural simulations. J Civil Struct Health Monit 14, 1237–1255. Luo, J., Huang, M., Lei, Y., 2022. Temperature Effect on Vibration Properties and Vibration-Based Damage Identification of Bridge Structures: A Literature Review. Buildings 12, 1209. Lynch, J.P., 2006. A Summary Review of Wireless Sensors and Sensor Networks for Structural Health Monitoring. The Shock and Vibration Digest 38, 91–128. Meoni, A., Ierimonti, L., Farneti ,E., Castellani, M., Filippucci, F., Natali, A., Celati, S., Scozzese. F., Morici M., Cavalagli, N., Venanzi, I., Agrawal, A.K., Dall'Asta, A., Salvatore, W., Ubertini, F., 2024. A New Methodology for the Diagnosis and Monitoring of Bridges Under Slow Deformation Phenomena. The International Journal of Bridge Engineering, Management and Research (BER), 2024, 1(1): 21424004. ISSN (online): 3065-0569. Micozzi, F., Morici, M., Zona, A., Dall’Asta, A., 2023. Vision-Based Structural Monitoring: Application to a Medium-Span Post-Tensioned Concrete Bridge under Vehicular Traffic. Infrastructures 8, 152. Micozzi, F., Morici, M., Zona, A., Dall’Asta, A., 2025. Real-Time Vision-Based Dynamic Monitoring of Vertical and Horizontal Transverse Displacements in Bridge Decks. J. Bridge Eng. 30, 04025078. https://doi.org/10.1061/JBENF2.BEENG-7597 Mukhopadhyay, S.C., Ihara, I., 2011. Sensors and Technologies for Structural Health Monitoring: A Review, in: Mukhopadhyay, Subhas Chandra (Ed.), New Developments in Sensing Technology for Structural Health Monitoring, Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 1–14. Natali, A., Cosentino, A., Morelli, F., Salvatore, W., 2023. Multilevel Approach for Management of Existing Bridges: Critical Analysis and Application of the Italian Guidelines with the New Operating Instructions. Infrastructures 8, 70. Ngo, D.-Q., Nguyen, H.-C., 2024. Monitoring and analysis of temperature distribution in reinforced concrete bridge box girders in Vietnam. Case Studies in Construction Materials 20, e02857. Scozzese, F., Dall’Asta, A., 2024. Nonlinear Response Characterization of Post‐Tensioned RC Bridges through Hilbert –Huang Transform Analysis. Structural Control and Health Monitoring, 2024(1), 5960162. https://doi.org/10.1155/2024/5960162 Smola, A.J., Schölkopf, B., 2004. A tutorial on support vector regression. Statistics and Computing 14, 199–222. Sohn, H.; Farrar, C. R.; Hemez, F. M.; Shunk, D. D.; Stinemates, D. W.; Nadler, B. R.; Czarnecki, J. J. (2003). A review of structural health monitoring literature: 1996–2001. Los Alamos National Laboratory, USA, 1(16), 10-12989. Vapnik, V., 2008. The nature of statistical learning theory. 2nd Edition, Statistics for engineering and information science. Springer, New York. Wang, X., Gao, Q., Liu, Y., 2020. Damage Detection of Bridges under Environmental Temperature Changes Using a Hybrid Method. Sensors, 20(14), 3999. Wu, G.-M., Yi, T.-H., Yang, D.-H., Li, H.-N., Liu, H., 2021. Early Warning Method for Bearing Displacement of Long-Span Bridges Using a Proposed Time-Varying Temperature–Displacement Model. J. Bridge Eng. 26, 04021068. Xiong, Y., Chen, W., Tsui, K.-L., Apley, D.W., 2009. A better understanding of model updating strategies in validating engineering models. Computer Methods in Applied Mechanics and Engineering 198, 1327–1337. Xu, X., Qian, Z.-D., Huang, Q., Ren, Y., Liu, B., 2022. Probabilistic anomaly trend detection for cable-supported bridges using confidence interval estimation. Advances in Structural Engineering 25, 966–978. Yang, J., Yang, F., Zhou, Y., Wang, D., Li, R., Wang, G., Chen, W., 2021. A data-driven structural damage detection framework based on parallel convolutional neural network and bidirectional gated recurrent unit. Information Sciences 566, 103–117. Zhang, Jianliang, Zhang, Jian, Wu, Z., 2022. Long-Short Term Memory Network-Based Monitoring Data Anomaly Detection of a Long-Span Suspension Bridge. Sensors 22, 6045.