PSI - Issue 84
Michele Morici et al. / Procedia Structural Integrity 84 (2026) 89–96
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Fig. 5. Continuous Monitoring: a) Reconstructed Signal of tiltmeter T3-b5y; b) Multivariate control chart related to the two rotations of beam #5.
4. Conclusions This study highlights the significant role of temperature variations in influencing bridge structural behavior and emphasizes the importance of explicitly accounting for thermal effects within SHM systems. With reference to the investigated case study, and in particular to the conditions observed at abutment B and at the expansion joint, the results suggest that temperature-induced expansions and contractions have a measurable impact on both rotations and displacements. The monitoring data indicate that rotational responses tend to be more sensitive at lower temperature levels, whereas displacement responses appear to be more affected at higher temperatures. Furthermore, the observed thermal response patterns may provide useful indications regarding the operational condition of bearings and expansion joints, supporting the early identification of potential anomalies. The adoption of a comprehensive monitoring system, incorporating continuous temperature measurements at multiple locations, is therefore essential for characterizing thermal response mechanisms and for identifying deviations from expected behavior. Overall, this approach contributes to improving the discrimination between temperature-driven deformations and potential structural distress, thereby supporting more reliable long-term assessment and maintenance strategies for bridge structures. Acknowledgements This work was supported by the Italian Ministry of Education, University and Research (MIUR) through the funded project of national interest “TIMING – Time evolution laws for IMproving the structural reliability evaluation of exist-ING post-tensioned concrete deck bridges” (Protocol No. P20223Y947). The authors gratefully acknowledge the Italian company ANAS for granting access to the structure under investigation and, through Eng. Andrea Torsani, for the fruitful cooperation aimed at enhancing mutual knowledge. They also thank the Italian company Gestecno s.r.l. and its owner, Mr. Francesco Pascarella, for their valuable support during the installation of the sensors used for bridge monitoring. References Alvandi, A., Cremona, C., 2006. Assessment of vibration-based damage identification techniques. Journal of Sound and Vibration 292, 179–202. Azimi, M., Eslamlou, A. D., Pekcan, G., 2020. Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State of-the-Art Review. Sensors, 20(10), 2778. Carbonari, S., Nicoletti, V., Martini, R., Gara, F., 2024. Dynamics of bridges during proof load tests and determination of mass-normalized mode shapes from OMA. Engineering Structures 310, 118111. Dayan, V., Chileshe, N., Hassanli, R., 2022. A scoping review of information-modeling development in bridge management systems. Journal of Construction Engineering and Management 148, 03122006. Deng, Z., Huang, M., Wan, N., Zhang, J., 2023. The Current Development of Structural Health Monitoring for Bridges: A Review. Buildings, 13(6), 1360. Farrar, C.R., Worden, K., 2012. Structural Health Monitoring: A Machine Learning Perspective, 1st ed. Wiley.
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