PSI - Issue 57

Qingyang Wei et al. / Procedia Structural Integrity 57 (2024) 262–270 Author name / Structural Integrity Procedia 00 (2019) 000 – 000

270

9

loads and vehicle loads, and the sensors required will be a large numberof strain gauges and a multi-channel signal acquisition instrument. Further work also contains the validation of the method on other bridges, focusing on investigating other types of fatigue cracks that differ from the cracks on the Türr Istvan Danube bridge. Acknowledgements This work was financially supported by the Grant MTA-BME Lendület LP2021-06 / 2021 "Theory of new generation steel bridges" program of the Hungarian Academy of Sciences, which is gratefully acknowledged. The authors are also grateful to the China Scholarship Council program (No. 202206710059), which also provided financial support to the research work. References Dudás, K . , Jakab, G., Kövesdi, B., Dunai, L., 2015. Assessment of fatigue behaviour of orthotropic steel bridge decks using monitoring system. Procedia Engineering 133, 770–777. Turksezer, Z. I., Iacovino, C., Giordano, P. F., Limongelli, M. P., 2021. Development and implementation of indicators to assess bridgeinspection practices. Journal of Construction Engineering and Management 147, 04021165. Nemati, N., Metrovich, B., Nanni, A., 2015. Acoustic emission assessment of through-thickness fatigue crack growth in steel members. Advances in Structural Engineering 18, 269–282. Sakagami, T., Mizokami, Y., Shiozawa, D., Izumi, Y., Moriyama,A., 2017. TSA based evaluation of fatigue crack propagation in steel bridge members. Procedia Structural Integrity 5, 1370–1376. Fu, R., Xu, H., Wang, Z., Shen, L., Cao, M., Liu, T., Drahomir, N., 2020. Enhanced intelligent identification of concrete cracks using multi-layered image preprocessing-aided convolutional neural networks. Sensors 20, 2021. Dorafshan, S., Campbell, L. E., Maguire, M., Connor, R. J., 2021. Benchmarking unmanned aerial systems-assisted inspection of steel bridges for fatigue cracks. Transportation Research Record 2675, 154–166. Xu, W., Zhu, W., Smith, S., Cao, M., 2016. Structural damage detection using slopes of longitudinal vibration shapes. Journal of Vibration and Acoustics 138, 034501. Landauskas, M., Cao, M., Ragulskis, M., 2020. Permutation entropy-based 2D feature extraction for bearing fault diagnosis. Nonlinear Dynamics 102, 1717–1731. Wei, Q., Cao, M., Shen, L., Qian, X., Dunai, L., Ostachowicz, W., 2023. A novel DISTINCT method for characterizing breathing features of nonlinear damage in structures. Mechanical Systems and Signal Processing 196, 110333. Wei, Q., Xu, H., Li, Y., Chen, L., Novák, D., Cui, L., Cao, M., 2021. Identification of damage on sluice hoist beams using local mode evoked by swept frequency excitation. Sensors 21, 6357. Huth, O., Feltrin, G., Maeck, J., Kilic, N., Motavalli, M., 2005. Damage identification using modal data: Experiences on a prestressed concrete bridge. Journal of Structural Engineering 131, 1898–1910.