Abstract
The monitoring of concrete structures with the acoustic emissions (AE) technique allows the detection of damage onset and growth. In this paper, the source location is determined by Unscented Kalman Filter (UKF) algorithm which makes use of AE signals arrival time recorded by sensors placed at the surface of the material and wave velocity known. This algorithm take into account uncertainty in time of arrival (TOA) measurements using continuous wavelet transform (CWT) analysis. The width of the fracture process zone (FPZ) was estimated from results of AE source location. The accuracy of AE location is then evaluated by comparing the results obtained with the proposed AE technique and the real crack profile. Measurements help appreciate robustness of the proposed approach with consequent potential applications in structural health monitoring of industrial parts and structures.
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Dris, E.Y., Drai, R., Dahou, Z., Berkani, D. (2022). Probabilistic Technique for Monitoring Damage and Cracking of Concrete. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1417. Springer, Cham. https://doi.org/10.1007/978-3-030-90633-7_14
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