Integrated Digital Image Correlation for the Identification of Mechanical Properties
Hugo Leclerc, Jean-Noël Périé, Stéphane Roux
MIRAGE 2009: Computer Vision/Computer Graphics Collaboration Techniques, May 2009, pp. 161--171.
Abstract: Digital Image Correlation (DIC) is a powerful technique to provide full-field displacement measurements for mechanical tests of materials and structures. The displacement fields may be further processed as an entry for identification procedures giving access to parameters of constitutive laws. A new implementation of a Finite Element based Integrated Digital Image Correlation (I-DIC) method is presented, where the two stages (image correlation and mechanical identification) are coupled. This coupling allows one to minimize information losses, even in case of low signal-to-noise ratios. A case study for elastic properties of a composite material illustrates the approach, and highlights the accuracy of the results. Implementations on GPUs (using CUDA) leads to high speed performance while preserving the versatility of the methodology.
Article URL: http://dx.doi.org/10.1007/978-3-642-01811-4_15
BibTeX format:
@incollection{Leclerc:2009:IDI,
  author = {Hugo Leclerc and Jean-Noël Périé and Stéphane Roux},
  title = {Integrated Digital Image Correlation for the Identification of Mechanical Properties},
  booktitle = {MIRAGE 2009: Computer Vision/Computer Graphics Collaboration Techniques},
  pages = {161--171},
  month = may,
  year = {2009},
}
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