PSI - Issue 64

F.-B. Cartiaux et al. / Procedia Structural Integrity 64 (2024) 285–292 Cartiaux / Structural Integrity Procedia 00 (2019) 000 – 000

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Fig. 8. (a, left) Typical PASS-wise strain and AE data. The acoustic emission (AE) data was collected by 6 AE sensors, whereas the 12 strain sensors (optical strand based) were deployed for strain measurements; (b, right) Average frequency (AF) vs. AR-value due to passage of trucks. 6. Conclusion The research described in this contribution gives the first steps for an efficient use of massive SHM data on prestressed concrete bridges. Considering each passage of a truck on the bridge as an event, which gathers multiple information about the response of the structure to the loads, some features are extracted to check the stability of the response over long durations, like spectral decomposition and cycle range counting released for fixed periods of one day or one week over the two years of monitoring. Moreover, the dataset is used as an input for advanced data science methods aiming at classifying and detecting anomalies among the events. An experimental acoustic emission campaign on one day shows interesting correlations between strain and acoustic emission and gives encouraging results to check the internal state of the concrete by the identification of shear and tensile microcracks in real time. However, further efforts are required to achieve the goal of synthetic and easily understandable health indices, useful for preventive maintenance of the assets. Acknowledgements The authors wish to thank the DIR Nord, public asset manager of the Jules Verne Viaduct on behalf of the French Republic, for its involvement in the realization of this on-site case study under real traffic conditions. References Carmona R. Hwang WL, Torresani B., 1998. Practical Time-Frequency Analysis: Gabor and wavelet transforms, with an implementation in S, Academic Press. Carpine R., Ientile S., Vacca N., Boscato G., Rospars C., Cecchi A, Argoul P., 2019. Modal identification in the case of complex modes – use of the wavelet analysis applied to the after-shock responses of a masonry wall during shear compression tests, Mechanical Systems and Signal Processing 160 (2021) 107753. doi:10.1016/j.ymssp.2021.107753. Cartiaux, F.-B., Semiao, J., 2023a. The Challenges of long-time high-sampled Structural Health Monitoring: a practical Feedback. EUROSTRUCT 2023, Vienna, Austria, 25-28 September 2023. ce/papers, 6: 292-301. https://doi.org/10.1002/cepa.2081 Cartiaux, F.B., Prudhomme, B, 2023b. Preventive SHM for asset management: a case study on the Mont-Blanc tunnel. 8th International Symposium of Life-Cycle Civil Engineering. IALCCE 2023. Milan, Italy, 2-6 July 2023. https://doi.org/10.1201/9781003323020-351 Mandal, D.D., Bentahar, M., El Mahi, A., Brouste, A., El Guerjouma, R., Montresor, S., Cartiaux, F.-B., 2022. Acoustic Emission Monitoring of Progressive Damage of Reinforced Concrete T-Beams under Four-Point Bending. Materials 2022, 15, 3486. https://doi.org/10.3390/ma15103486 Mandal, D.D., Bentahar, M., El Mahi, A., Brouste, A., El Guerjouma, R., Montresor, S., Cartiaux, F.-B., Semiao, J., 2024. Acoustic emission monitoring of damage modes in reinforced concrete by using a frequency domain shape tracing approach. Construction and Building Materials (submitted) Torresani B., 2012. Analyse continue par ondelettes, EDP Sciences.