• DocumentCode
    596746
  • Title

    Shape monitoring for wing structure using fiber Bragg grating sensors

  • Author

    Jincong Yi ; Hesheng Zhang ; Xiaoping Qiao ; Xiaojin Zhu

  • Author_Institution
    Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
  • fYear
    2012
  • fDate
    18-20 Oct. 2012
  • Firstpage
    1032
  • Lastpage
    1036
  • Abstract
    To reconstruct the shape of wing structure using fiber Bragg grating sensors, an implementation method was presented in this paper. First, the principle of curvature measurement based upon fiber Bragg grating sensor was introduced, and the design of the layout of sensor´s locations was optimized by the finite element (FE) analysis of the experimental model. Then, the algorithm description of surface reconstruction was given in detail. Finally, an experiment setup was built using an epoxy resin trapezoid plate equipped with distributed FBG sensors, combined with a data acquisition and a shape reconstruction algorithm system. Afterwards, the experiments of steady deformation and dynamic vibration behavior were implemented for the real-time shape reconstruction of wing model structure. The results verify the feasibility and effectiveness of the presented method of deformation shape detection for a sort of wing model structure based on fiber Bragg grating sensor array, and indicate that the proposed method can provide useful research thinking for the further study of active monitoring for aerospace wing structures.
  • Keywords
    Bragg gratings; aerospace components; condition monitoring; data acquisition; fibre optic sensors; finite element analysis; shape measurement; aerospace wing structure active monitoring; curvature measurement; data acquisition; distributed FBG sensor; epoxy resin trapezoid plate; fiber Bragg grating sensors; finite element analysis; sensor locations; shape monitoring; shape reconstruction algorithm; surface reconstruction; Fiber gratings; Sensor arrays; Shape; Surface reconstruction; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-1743-6
  • Type

    conf

  • DOI
    10.1109/ICACI.2012.6463329
  • Filename
    6463329