Upcoming damage size quantification in aeronautic composite structures based on imaging results post-processing
Article dans une revue avec comité de lecture
In this paper, a damage quantification strategy relying on post-processing of Lamb wave based damage localization results is presented. This method is able to predict the upcoming sizes of a delamination after a training step. Inputs of the proposed method are localization index maps produced by damage localization algorithms and representing the presence likelihood of a damage over the structure under study. The area covered by a high localization index around the estimated damage location are then extracted from these spatial probability maps. A data-driven model representing the mathematical relationship between this quantification feature and the actual size of the damage is finally inferred and used to predict future damage size. The proposed method is successfully validated on experimental data coming from CFRP plate samples equipped with piezoelectric transducers. Delaminations induced by fatigue testing and laser shock are studied. The sensitivity of the method to input frequency and damage localization algorithms parameters is assessed and a method to automatically select its own parameters is proposed. Furthermore, it is demonstrated that a model can be confidently learned on a given CFRP plate sample and transferred to predict damage size on another similar CFRP plate sample.
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DAMAGE SIZE QUANTIFICATION IN AERONAUTIC COMPOSITE STRUCTURES BASED ON IMAGING RESULTS POST-PROCESSING Communication avec acteBRIAND, William; REBILLAT, Marc; GUSKOV, Mikhail; MECHBAL, Nazih (A. Benjeddou, N. Mechbal and J.F. De¨u, 2019)Thanks to their high strength to mass ratio, composite materials are now widespread in the aerospace industry. Nevertheless, this type of material is subject to various internal damages and it is mandatory to monitor in ...
Communication avec acteBRIAND, William; REBILLAT, Marc; GUSKOV, Mikhail; MECHBAL, Nazih (2020)Thanks to their high strength to mass ratio, composite materials are now widespread in the aerospace industry. Nevertheless, this type of material is sub- ject to internal damages like delamination. In order to detect and ...
Communication avec acteFENDZI, Claude; MOREL, Julien; REBILLAT, Marc; GUSKOV, Mikhail; MECHBAL, Nazih; COFFIGNAL, Gérard (2014)This paper examines an important challenge in ultrasonic structural health monitoring (SHM), which is the problem of the optimal placement of sensors in order to accurately detect and localize damages. The goal of this ...
Simultaneous Influence of Static Load and Temperature on the Electromechanical Signature of Piezoelectric Elements Bonded to Composite Aeronautic Structures Article dans une revue avec comité de lectureREBILLAT, Marc; GUSKOV, Mikhail; BALMES, Etienne; MECHBAL, Nazih (American Society of Mechanical Engineers, 2016)Electromechanical (EM) signature techniques have raised a huge interest in the structural health-monitoring community. These methods aim at assessing structural damages and sensors degradation by analyzing the EM responses ...
Article dans une revue avec comité de lectureFENDZI, Claude; REBILLAT, Marc; MECHBAL, Nazih; GUSKOV, Mikhail; COFFIGNAL, Gérard (SAGE Publications (UK and US), 2016)This paper presents a temperature compensation method for Lamb wave structural health monitoring. The proposed approach considers a representation of the piezo-sensor signal through its Hilbert transform that allows one ...