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Prediction of frequency and spatially dependent attenuation of guided waves propagating in mounted and unmounted A380 parts made up of anisotropic viscoelastic composite laminates

Article dans une revue avec comité de lecture
Auteur
GUO, Shuanglin
ccRÉBILLAT, Marc
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
ccMECHBAL, Nazih
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]

URI
http://hdl.handle.net/10985/22016
DOI
10.1177/14759217221099967
Date
2022-05
Journal
Structural Health Monitoring

Résumé

Monitoring damage in composite structures using guided wave-based techniques is particularly effective due to their excellent ability to propagate over relatively long distance and hence to cover a large area with few testing time and equipment. The industrialization of this method is highly tributary of the number and placement of the active elements. Yet, the optimal sensorization of a structure relies on the decrease in amplitude of guided waves over propagation distance. A reliable prediction of attenuation of guided waves is still a challenge especially for anisotropic viscoelastic composite materials which exhibit complex changes of attenuation with propagation direction and thus a spatial dependency of attenuation. In this paper, the damped global matrix method (dGMM), having stable and efficient merits, is developed to predict the frequency and spatially dependent attenuation of waves propagating in anisotropic composite materials. dGMM integrates three damping models (Hysteretic, Kelvin-Voigt, and Biot models) into the conventional undamped GMM to consider viscoelasticity of composite laminates. The proposed dGMM is first theoretically validated by numerical comparison with the semi-analytical finite element method. In addition, two industrial case studies, parts of an A380 nacelle at scale one, are employed to experimentally validate the proposed attenuation prediction method. The first one is a fan cowl structure and the second one is an inner fixed structure, both either unmounted or mounted on an actual instrumented A380 plane. This makes the validation extremely valuable for both the scientific and industrial communities. The proposed attenuation prediction method thus paves the way to optimally deploy sensor network for structural health monitoring of anisotropic viscoelastic composite structures.

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PIMM_SHM_2022_REBILLAT.pdf
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Fin d'embargo:
2022-11-01
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Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • Guided waves propagation in arbitrarily stacked composite laminates: Between-layers incompatibility issue resolution using hybrid matrix strategy 
    Article dans une revue avec comité de lecture
    ccGUO , Shuanglin; ccRÉBILLAT, Marc; LIU, Yuan; ccLI, Qiufeng; ccLU, Chao; ccMECHBAL, Nazih (Elsevier BV, 2023-07)
    Lamb waves (LWs) are widely used to achieve structural health monitoring of aeronautic composite structures. Composite materials are however anisotropic and LWs propagation characteristics depend on their propagation ...
  • SPATIAL ATTENUATION PREDICTION OF LAMB WAVES IN COMPOSITE MATERIALS 
    Communication avec acte
    GUO, Shuanglin; ccMECHBAL, Nazih; ccRÉBILLAT, Marc (A. Benjeddou, N. Mechbal and J.F. Deü, 2019)
    The inspection and detection of damage in composite materials using Lamb waves are particularly effective because Lamb wave can propagate over relatively large distance and hence can cover a large area with few testing ...
  • Dichotomy property of dispersion equation of guided waves propagating in anisotropic composite plates 
    Article dans une revue avec comité de lecture
    GUO, Shuanglin; ccRÉBILLAT, Marc; ccMECHBAL, Nazih (Elsevier BV, 2022-02)
    Accurate prediction of dispersion curves for ultrasonic guided waves propagation in multi-layered composite laminates is crucial for the deployment of nondestructive testing procedures and structural health monitoring ...
  • Improving Lamb Wave detection for SHM using a dedicated LWDS electronics 
    Communication avec acte
    JAUSSAUD, Gladys; REBUFA, Jocelyn; FOURNIER, Marc; LOGEAIS, Matthieu; BENCHEIKH, Nabil; ccMECHBAL, Nazih; ccRÉBILLAT, Marc (NTD, 2019)
    In the context of Condition Based Maintenance (CBM) for aircrafts, Structural Health Monitoring (SHM) is one main field of research. Detection and localization of damages in a structure request reliability of the equipment ...

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