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    Strain transfer analysis of embedded fiber bragg grating strain sensor

    247843.pdf (784.3Kb)
    Access Status
    Open access
    Authors
    Sun, L.
    Hao, H.
    Zhang, B.
    Ren, X.
    Li, Jun
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Sun, L. and Hao, H. and Zhang, B. and Ren, X. and Li, J. 2016. Strain transfer analysis of embedded fiber bragg grating strain sensor. Journal of Testing and Evaluation. 44 (6): pp. 2312-2320.
    Source Title
    Journal of Testing and Evaluation
    DOI
    10.1520/JTE20140388
    ISSN
    0090-3973
    School
    Department of Civil Engineering
    URI
    http://hdl.handle.net/20.500.11937/4840
    Collection
    • Curtin Research Publications
    Abstract

    Due to the difference in the physical and mechanical properties between the optical fiber, protective layer, adhesive layer, and the host material, the strains measured by a fiber Bragg grating (FBG) sensor may not be the actual strains of the host material, which impedes the reliable applications of FBG sensors. To overcome this problem, in this paper, the strain transfer formula was derived by using elastic analysis, the shear-lag method, and several reasonable assumptions taking into account temperature variations and nonaxial stresses, which was an improvement to an existing study (Li, H. N., Zhou, G. D., Ren, L., and Li, D. S., "Strain Transfer Analysis of Embedded Fiber Bragg Grating Sensor Under Nonaxial Stress," Optic. Eng., Vol. 46, No. 5, 2007, 054402). The analytical results were validated by simulating the behavior of a bare optical fiber through finite element analysis. The data enabled the identification of the parameters that influence the strain transfer from the host material to the embedded FBG sensors and the impact of the temperature variation and sensor alignment angle on the measurement accuracy. This work provided additional knowledge for the improvement of the existing strain transfer theory of FBG sensors in order to achieve a more accurate strain measurement with this sensing technology.

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