• DocumentCode
    1657956
  • Title

    Enhancing with deconvolution the metrological performance of the grid method for in-plane strain measurement

  • Author

    Sur, Frederic ; Grediac, Michel

  • Author_Institution
    LORIA - Projet Magrit, Univ. de Lorraine, Vandoeuvre-les-Nancy, France
  • fYear
    2013
  • Firstpage
    1563
  • Lastpage
    1567
  • Abstract
    This article is motivated by a problem from experimental solid mechanics. The grid method permits to estimate in-plane displacement and strain components in a deformed material. A regular grid is deposited on the surface of the material, and images are taken before and after deformation. Windowed Fourier analysis then gives an estimate of the surface displacement and strain components. We show that the estimates obtained by this technique are approximately the convolution of the actual values with the analysis window. We also characterize how the noise in the grid image impairs the displacement and strain maps. Finally, the metrological performance of the grid method is enhanced with deconvolution algorithms. This work is potentially of interest in optical interferometry, since grids are particular fringe patterns.
  • Keywords
    Fourier analysis; convolution; deconvolution; deformation; image processing; mechanical engineering computing; strain measurement; analysis window; convolution; deconvolution algorithm; deformed material; experimental solid mechanics; fringe patterns; grid image impairs; grid method; in-plane strain measurement; metrological performance; optical interferometry; regular grid; strain components; strain maps; surface displacement estimation; windowed Fourier analysis; Deconvolution; Estimation; Fourier transforms; Noise; Solids; Strain; Surface treatment; Experimental mechanics; correlated noise; deconvolution; grid method; windowed Fourier analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637914
  • Filename
    6637914