Evaluation of the acoustic emission 3D localisation accuracy for the mechanical damage monitoring in concrete

• Published in: Engineering fracture mechanics Vol. 223; p. 106742
• Main Authors: Boniface, Antoine, Saliba, Jacqueline, Sbartaï, Zoubir Mehdi, Ranaivomanana, Narintsoa, Balayssac, Jean-Paul
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 01.01.2020; Elsevier BV; Elsevier
• Subjects: Accuracy; Acoustic emission; Acoustic emission testing; Acoustics; Algorithms; Civil Engineering; Concrete; Crack; Crack propagation; Damage; Damage detection; Damage localization; Digital imaging; Emission analysis; Engineering Sciences; Localization; Mechanics; Mechanics of materials; Monitoring; Source location accuracy; Statistical analysis; Structural damage; CMOD; AE; FT; AET; FPZ; AMA; Acoustic emission; Source location accuracy; Concrete; GA; AIC; GBNM; Damage; Crack
• ISSN: 0013-7944; 1873-7315; 1873-7315
• DOI: 10.1016/j.engfracmech.2019.106742

•Use of AET for the localisation of damage and cracks in concrete under bending.•Use of Akaike Information Criterion (AIC) for the identification of the beginning of AE signals.•Detection of a higher quantity of events around the damaged area.•Development of a novel and more accurate localisation algorithm.•Comparison of AET and DIC results. One of the main interests of the Acoustic Emission (AE) technique is its capability to detect and localise damage in structures. In this paper, the accuracy of AE sources localisation in concrete is studied. Several methods related to the choice of the onset detection of AE signals and to the location algorithm are evaluated and compared. The results show an important influence of the onset detection method on the location accuracy of AE events. The choice of the minimisation algorithm depends on the desired accuracy and the computation time. A statistical analysis based on the distribution of AE events and energy is presented for the detection of damages and the monitoring of the crack propagation. The comparison of the presented methodology demonstrates comparative results with Digital Image Correlation (DIC).