DAMAGE SIZE QUANTIFICATION IN AERONAUTIC COMPOSITE STRUCTURES BASED ON IMAGING RESULTS POST-PROCESSING
Communication avec acte
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 real time their structural integrity. Structural Health Monitoring (SHM) is a process based on embedded sensors whose aim is to detect, locate, classify and quantify potential damages appearing in a structure in order to avoid structures catastrophic failures and to estimate their residual life. The most widely used technique to perform SHM of aeronautical structures made up of composite materials is based on the use of ultrasonic Lamb waves. However, even if robust and precise SHM algorithms exist for damage detection and localization, there is still a huge need for reliable algorithms for damage quantification. In this paper, a damage quantification strategy based on a post-processing step of the results of damage imaging method is presented. Such a method allows for damage size assessment of a delaminated area by post-processing the images produced by damage localization algorithms. Localization methods take raw signals from sensor as input and return a map of index representing the likelihood of presence of a damage over the surface of the structure under study. From this spatial probability map, region of high localization index can be identified around the estimated damage location and the area this region can be computed. A data-driven model representing the mathematical relationship between the computed area and the actual size of the damage is then inferred. The proposed method is successfully validated on numerical simulation data carried out on CFRP plate samples equipped with a stiffener and of a piezoelectric sensor-actuator network with several configurations of damage size.
Files in this item
Showing items related by title, author, creator and subject.
Upcoming damage size quantification in aeronautic composite structures based on imaging results post-processing Article dans une revue avec comité de lectureBRIAND, William; RÉBILLAT, Marc; GUSKOV, Mikhail; MECHBAL, Nazih (SAGE Publications, 2021)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 ...
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 acteBRIAND, William; REBILLAT, Marc; GUSKOV, Mikhail; MECHBAL, Nazih (Springer International Publishing, 2022-06)Corrosion is a major concern for the aeronautic industry and providing structures with the intrinsic ability to monitor autonomously their health state is a major actual academic and industrial challenge. In this paper, ...
Communication sans acteIn order to optimize their maintenance costs, airlines are very interested in the condition based maintenance approach. For this purpose, structural health data coming from the monitoring of structural subcomponents and ...
Detection, localization, and quantification of corrosion damage using Lamb Waves for the structural health monitoring of aluminum aeronautics structures Communication avec acteLIEGEY, Julie; BRIAND, William; REBILLAT, Marc; EL MAY, Mohamed; DEVOS, Olivier; MECHBAL, Nazih (Springer, 2022-07-04)Corrosion is a major concern for the aeronautic industry and providing structures with the intrinsic ability to monitor autonomously their health state is a major actual academic and industrial challenge. In this paper, ...