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IMPROVING EFFICIENCY AND ROBUSTNESS OF STRUCTURAL HEALTH MONITORING TECHNIQUES BASED ON LAMB WAVE DETECTION

Communication avec acte
Auteur
REBUFA, Jocelyn
466056 Cedrat Technologies
JAUSSAUD, Gladys
466056 Cedrat Technologies
FOURNIER, Marc
466056 Cedrat Technologies
LOGEAIS, M.
466056 Cedrat Technologies
BENCHEIKH, N.
466056 Cedrat Technologies
CLAEYSSEN, F.
466056 Cedrat Technologies
ccRÉBILLAT, Marc
ccGUSKOV, Mikhail
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]

URI
http://hdl.handle.net/10985/19516
Date
2019

Résumé

Required improvements of piezoelectric elements actuation and measurement system efficiency and robustness are introduced as a critical feature for structural health monitoring (SHM) applications. An electronic module (Lamb wave detection system: LWDS) allowing to use each piezoelectric element in an array either in emission or reception mode is presented. The high commutation rate between these two states, for each transducer separately, is a key enhancement for SHM methods. The robustness of the sensor integration is also studied considering the patches size and bonding method. Coupled dispersion curve are introduced Comparison of FEM simulation and experiments of the piezo-electric coupling are presented. This work takes part of the H2020 REMAP project about adaptive aircraft maintenance planning.

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PIMM_SMART_2019_REBILLAT.pdf
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  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)

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 ...
  • INVESTIGATION OF NONLINEAR LAMB WAVE/DAMAGE INTERACTION: NUMERICAL AND EXPERIMENTAL APPROACHES 
    Communication avec acte
    LI, Xixi; ccMONTEIRO, Eric; ccMECHBAL, Nazih; ccGUSKOV, Mikhail; ccRÉBILLAT, Marc (A. Benjeddou, N. Mechbal and J.F. Deü, 2019)
    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 ...

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