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Assessing stiffness degradation of stiffened composite panels in post-buckling compression-compression fatigue using guided waves

Article dans une revue avec comité de lecture
Auteur
YUE, Nan
333368 Delft University of Technology [TU Delft]
BROER, Agnes
333368 Delft University of Technology [TU Delft]
BRIAND, William
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
ccRÉBILLAT, Marc
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
LOUTAS, Theodoros
77278 University of Patras
ZAROUCHAS, Dimitrios
333368 Delft University of Technology [TU Delft]

URI
http://hdl.handle.net/10985/21955
DOI
10.1016/j.compstruct.2022.115751
Date
2022-08
Journal
Composite Structures

Résumé

The application of structural health monitoring (SHM) in composite airframe structural elements under long- term realistic fatigue loading needs to consider the structural behavior on the global level, which is an intri- cate task. The overall structural stiffness is a key design parameter for composite structures and the stiffness degradation under fatigue loading is closely related to the damage accumulation and failure mechanism which can be used as an indicator for the structural degradation. Therefore, this paper investigates the use of guided waves in axial stiffness degradation estimation for stiffened carbon fiber reinforced polymer (CFRP) composite panels under post-buckling compression-compression (C-C) fatigue loads. Impacted or artificially debonded stiffened composite panels are tested under fatigue until failure and guided waves are acquired using a network of piezoelectric (PZT) sensors at fixed cycle intervals. The guided wave phase velocity along the loading direction is extracted to estimate the axial stiffness degradation with the consideration of mode conversion and failure of PZT sensors. The estimated stiffness of five stiffened composite panels matches well with the stiffness calculated from the load–displacement curves. The estimated stiffness is also assessed using prognostic performance metrics and shows good potential for being used as a health indicator for prognostic purposes.

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PIMM_CS_2022_REBILLAT
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Documents liés

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

  • Fusion of SHM techniques for synergetic degradation monitoring of composite aircraft wing structure under compression fatigue 
    Communication sans acte
    YUE, Nan; BROER, Agnes; GALANOPOULOS, Georgios; ccBRIAND, William; ccRÉBILLAT, Marc; ccLOUTAS, Theodoros; ccZAROUCHAS, Dimitrios (CBM Academy, 2022-05)
    In the pursue of smart structures for cyber-physical health management of lightweight engineering structures, a number of structural health monitoring methods have been developed. Each SHM technique has different coverage ...
  • Upcoming damage size quantification in aeronautic composite structures based on imaging results post-processing 
    Article dans une revue avec comité de lecture
    BRIAND, William; ccRÉBILLAT, Marc; ccGUSKOV, Mikhail; ccMECHBAL, Nazih (SAGE Publications, 2021)
    In this paper, a damage quantification strategy relying on post-processing of Lamb wave based damage localization results is presented. This method is able to predict the upcoming sizes of a delamination after a training ...
  • DAMAGE SIZE QUANTIFICATION IN AERONAUTIC COMPOSITE STRUCTURES BASED ON IMAGING RESULTS POST-PROCESSING 
    Communication avec acte
    BRIAND, William; ccMECHBAL, Nazih; ccGUSKOV, Mikhail; ccRÉBILLAT, Marc (A. Benjeddou, N. Mechbal and J.F. De¨u, 2019)
    Thanks to their high strength to mass ratio, composite materials are now widespread in the aerospace industry. Nevertheless, this type of material is subject to various internal damages and it is mandatory to monitor in ...
  • Lamb waves scattering model for identification of damage parameters 
    Communication sans acte
    ccBRIAND, William; ccRÉBILLAT, Marc; ccGUSKOV, Mikhail; ccMECHBAL, Nazih (CBM Academy, 2022-05)
    In order to optimize their maintenance costs, airlines are very interested in the condition based maintenance approach. For this purpose, structural health data coming from the monitoring of structural subcomponents and ...
  • 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 ...

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