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INVESTIGATION OF NONLINEAR LAMB WAVE/DAMAGE INTERACTION: NUMERICAL AND EXPERIMENTAL APPROACHES

Communication avec acte
Auteur
LI, Xixi
ccMONTEIRO, Eric
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
ccMECHBAL, Nazih
ccGUSKOV, Mikhail
ccRÉBILLAT, Marc

URI
http://hdl.handle.net/10985/19520
Date
2019

Résumé

One of the most important issues in engineering is the monitoring and the early detection of structural damages to prevent catastrophic failures. This process is referred to as Structural Health Monitoring and is expected to provide considerable improvements with respect to safety and maintenance costs. More particularly, the focus is here put on composite structure representative of aeronautic applications and the damages to be monitored are of “delamination” type. Nonlinear features generated by Lamb wave/damage interaction were employed for the detection of the delamination damage. Experiments are conducted on composite plates made of carbon fiber reinforced polymer equipped with two piezoelectric transducers. One plate is calibrated with a delamination damage at the center using laser shock wave technique. Nonlinear features of Lamb waves are observed in the experimental results. Finite element method is here used for investigating the nonlinear wave properties as well as the wave/damage interaction. Two damage models are studied and implemented at delamination area: a spring model and a contact model. An undamaged plate is also presented as reference in both finite element simulations and experiments. Results show that higher harmonics can be used as identification of the existence of delamination damage in a composite structure. A contact interaction model can represent the mechanical behavior of delamination damage and can be used for a real delamination modelling.

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Documents liés

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  • A General Bayesian Framework for Ellipse-based and Hyperbola-based Damage Localisation in Anisotropic Composite Plates 
    Article dans une revue avec comité de lecture
    FENDZI, Claude; ccMECHBAL, Nazih; ccGUSKOV, Mikhail; ccRÉBILLAT, Marc (SAGE Publications, 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 ...
  • Signal-based versus nonlinear model-based damage sensitive features for delamination quantification in CFRP composites 
    Communication avec acte
    GHRIB, Meriem; BERTHE, Laurent; ccMECHBAL, Nazih; ccGUSKOV, Mikhail; ccRÉBILLAT, Marc (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 
    Communication avec acte
    GHRIB, Meriem; BERTHE, Laurent; ccMECHBAL, Nazih; ccGUSKOV, Mikhail; ccRÉBILLAT, 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 ...
  • Damage imaging post processing for delamination size assessment of CFRP aeronautic structures 
    Communication avec acte
    BRIAND, William; ccMECHBAL, Nazih; ccGUSKOV, Mikhail; ccRÉBILLAT, Marc (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 ...
  • Damage Size Quantification Using Lamb Waves by Analytical Model Identification 
    Communication avec acte
    ccBRIAND, William; ccRÉBILLAT, Marc; ccGUSKOV, Mikhail; ccMECHBAL, 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, ...

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