Generation of controlled delaminations in composites using symmetrical laser shock configuration
TypeArticles dans des revues avec comité de lecture
Structural Health Monitoring (SHM) is defined as the process of implementing a damage identification strategy for aerospace, civil and mechanical engineering infrastructures. SHM can be organized into five main steps: detection, localization, classification, quantification and prognosis. Our work considers SHM quantification level and in particular the evaluation of the severity of delamination-type damage in CFRP composite laminates. Prior to quantification algorithms implementation, it is important to properly prepare the supports on which algorithms will be tested. Teflon inserts and conventional impacts are commonly used techniques to generate or simulate delaminations. However, with such rudimentary techniques it is difficult to generate controlled delamination-type damage in a realistic way. In the present work, we investigate symmetrical laser shock approach, as a new method to calibrate delaminations in composites. By tuning the time delay between the two laser beams and laser energy, through-thickness damage position and severity can respectively be adjusted. The effect of multiple contiguous laser impacts was also investigated. Post-mortem analyses using A-scan and C-scan testing as well as penetrant testing were performed in order to characterize laser impact induced damage. Results are encouraging and demonstrate the high potential of symmetrical laser shock for damage calibration in both size and location.
Showing items related by title, author, creator and subject.
Laser shock a novel way to generate calibrated delamination in composites: concept and first results GHRIB, Meriem; BERTHE, Laurent; REBILLAT, Marc; MECHBAL, Nazih; GUSKOV, Mikhail; ECAULT, Romain (2015)Structural Health Monitoring (SHM) has been gaining importance in recent years. SHM aims at providing structures with similar functionality as the biological nervous system and it is organized into four main steps: detection, ...
Signal-based versus nonlinear model-based damage sensitive features for delamination quantification in CFRP composites GHRIB, Meriem; REBILLAT, Marc; MECHBAL, Nazih; BERTHE, Laurent; GUSKOV, Mikhail (2017)Structural health monitoring (SHM) is an emerging technology designed to automate the inspection process undertaken to assess the health condition of structures. The SHM process is classically decomposed into four sequential ...
LASER shock delamination generation and machine learning-based damage quantification in CFRP composites plates GHRIB, Meriem; MECHBAL, Nazih; BERTHE, Laurent; GUSKOV, Mikhail; REBILLAT, Marc (A. Benjeddou and Z. Aboura, 2018)In the aeronautic industry, composite materials are becoming more widespread due to their high strength to mass ratio. Piezoelectric elements can be permanently incorporated on composite parts during the manufacturing ...
Automatic Damage Quantification Using Signal Based And Nonlinear Model Based Damage Sensitive Features GHRIB, Meriem; REBILLAT, Marc; MECHBAL, Nazih; VERMOT DES ROCHES, Guillaume (2017)Structural Health Monitoring (SHM) can be de ned as the process of acquiring and analyzing data from on-board sensors to evaluate the health of a structure. Classically, an SHM process can be performed in four steps: ...
Automatic damage type classification and severity quantification using signal based and nonlinear model based damage sensitive features GHRIB, Meriem; RÉBILLAT, Marc; VERMOT DES ROCHES, Guillaume; MECHBAL, Nazih (Elsevier, 2019)Structural health monitoring (SHM) is an emerging technology designed to automate the inspectionprocess undertaken to assess the health condition of structures. The SHM process is classically decom-posed into four sequential ...