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International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications

MIRAGE 2009: Computer Vision/Computer Graphics CollaborationTechniques pp 161–171Cite as

Integrated Digital Image Correlation for the Identification of Mechanical Properties

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5496))

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.

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Author information

Authors and Affiliations

  1. LMT-Cachan, (ENS Cachan/CNRS/UPMC/PRES UniverSud Paris), 61 avenue du Président Wilson, F-94235, Cachan Cedex, France

    Hugo Leclerc, Jean-Noël Périé, Stéphane Roux & François Hild

Authors
  1. Hugo Leclerc
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  2. Jean-Noël Périé
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  3. Stéphane Roux
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  4. François Hild
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Editor information

Editors and Affiliations

  1. INRIA Rocquencourt, MIRAGES project, Domaine de Voluceau, 78153, Le Chesnay Cedex 1, France

    André Gagalowicz

  2. Department of Telecommunication and Information Processing, Ghent University, St.-Pietersnieuwstraat 41, 9000, Gent, Belgium

    Wilfried Philips

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© 2009 Springer-Verlag Berlin Heidelberg

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Leclerc, H., Périé, JN., Roux, S., Hild, F. (2009). Integrated Digital Image Correlation for the Identification of Mechanical Properties. In: Gagalowicz, A., Philips, W. (eds) Computer Vision/Computer Graphics CollaborationTechniques. MIRAGE 2009. Lecture Notes in Computer Science, vol 5496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01811-4_15

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  • DOI: https://doi.org/10.1007/978-3-642-01811-4_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01810-7

  • Online ISBN: 978-3-642-01811-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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