Laser shock a novel way to generate calibrated delamination in composites: concept and first results
TypeCommunications avec actes
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, localization, assessment, and prognosis. This paper considers SHM assessment level and more particularly the estimation of the severity of delamination-type damage in Carbon Fiber Reinforced Polymer (CFRP) laminates. Prior to quantification algorithms implementation, it is critical to properly prepare the supports on which algorithms will be tested. Teflon inserts and conventional drop tower impacts are commonly used techniques in the SHM community to generate or simulate delaminations. However with such techniques it is difficult to generate controlled delaminationtype damage in a realistic manner. Conventional impacts do not necessarily induce uniquely delamination-type damage. Teflon inserts still remain very far from representing a realistic delamination. In the present paper we investigate Laser Shock Wave Technique (LSWT), a new way to generate controlled delaminations in composites. In particular, the symmetrical laser shock approach was applied to CFRP laminates in order to generate delamination-type damage in a calibrated and realistic way. A particular attention was paid to the effect of time delay and laser beams energies on damage position and severity respectively. Post-mortem analyses were performed to characterize the induced damage. Results show a high potential of LSWT for damage calibration in both size and location.
Showing items related by title, author, creator and subject.
GHRIB, Meriem; BERTHE, Laurent; MECHBAL, Nazih; REBILLAT, Marc; GUSKOV, M; ECAULT, Romain; BEDREDDINE, Nas (Elsevier, 2017)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: ...
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, 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: ...
A General Bayesian Framework for Ellipse-based and Hyperbola-based Damage Localisation in Anisotropic Composite Plates FENDZI, Claude; MECHBAL, Nazih; REBILLAT, Marc; GUSKOV, Mikhail (SAGE, 2016)This paper focuses on Bayesian Lamb wave-based damage localization in structural health monitoring of anisotropic composite materials. A Bayesian framework is applied to take account for uncertainties from experimental ...