• DocumentCode
    3167445
  • Title

    Structural health monitoring of smart civil structures based on fiber Bragg grating sensing technology

  • Author

    Bai, Junjie ; Zhao, Damei ; Zhang, Xiuyan

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    635
  • Lastpage
    638
  • Abstract
    The real-time monitoring technologies of smart civil structure using fiber Bragg grating (FBG), including the wavelength demodulation technology of FBG, are researched extensively at home and abroad. To improve the accuracy of demodulation system of FBG sensors, based on a fiber comb filter, a wavelength-demodulation method of FBG was proposed and an experiment platform was designed to demodulate the FBG wavelength for smart civil structure. The reinforced concrete embedded fiber Bragg gratings became the intelligent civil structure on which the experiment of structural health monitoring was done. Experimental results show that, based on a fiber comb filter, the FBG wavelength demodulation method can be used to demodulate the FBG wavelength with high speed and high precision, which can be used extensively in large-scale multipoint monitor engineering. During the experiment, the fiber Bragg gratings embedded in reinforced concrete show good sensing properties, and can respond rapidly to strain with a stable performance.
  • Keywords
    Bragg gratings; condition monitoring; demodulation; fibre optic sensors; intelligent structures; optical fibres; structural engineering; FBG sensors; FBG wavelength demodulation method; fiber Bragg grating sensing technology; fiber comb filter; reinforced concrete; smart civil structures; structural health monitoring; Concrete; Demodulation; Fiber gratings; Optical fiber sensors; Optical fibers; Strain; Smart civil structure; fiber Bragg grating; structural health monitoring; wavelength demodulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010269
  • Filename
    6010269