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Assessment of Digital Image Correlation Measurement Errors: Methodology and Results

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A Commentary to this article was published on 16 February 2013

Abstract

Optical full-field measurement methods such as Digital Image Correlation (DIC) are increasingly used in the field of experimental mechanics, but they still suffer from a lack of information about their metrological performances. To assess the performance of DIC techniques and give some practical rules for users, a collaborative work has been carried out by the Workgroup “Metrology” of the French CNRS research network 2519 “MCIMS (Mesures de Champs et Identification en Mécanique des Solides / Full-field measurement and identification in solid mechanics, http://www.ifma.fr/lami/gdr2519)”. A methodology is proposed to assess the metrological performances of the image processing algorithms that constitute their main component, the knowledge of which being required for a global assessment of the whole measurement system. The study is based on displacement error assessment from synthetic speckle images. Series of synthetic reference and deformed images with random patterns have been generated, assuming a sinusoidal displacement field with various frequencies and amplitudes. Displacements are evaluated by several DIC packages based on various formulations and used in the French community. Evaluated displacements are compared with the exact imposed values and errors are statistically analyzed. Results show general trends rather independent of the implementations but strongly correlated with the assumptions of the underlying algorithms. Various error regimes are identified, for which the dependence of the uncertainty with the parameters of the algorithms, such as subset size, gray level interpolation or shape functions, is discussed.

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Notes

  1. For instance, \(\Phi 1 \mbox{\sf I}l\mbox{\sf O}f\mbox{\sf D}16\) corresponds to a DIC formulation with a first order shape function (ϕ = 1), a bi-linear gray level interpolation (i = l), a full optimization (o = f) and a 16 pixels subset size (d = 16).

  2. The authors of the academic codes have participated to this research work and they have run themselves the tests that have lead to the present results.

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Acknowledgements

The authors and all the participants of this benchmark are grateful to the CNRS for supporting this research.

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Authors and Affiliations

  1. Laboratoire de Mécanique des Solides, CNRS-UMR7649, Department of Mechanics, Ecole polytechnique, 91128, Palaiseau, France

    M. Bornert

  2. LMS, UMR 6610, Université de Poitiers, 86962, Futuroscope Chasseneuil, France

    F. Brémand (SEM Member), P. Doumalin & J.-C. Dupré

  3. ENIT, Tarbes, France

    M. Fazzini (SEM Member) & S. Mistou

  4. LaMI, Université Blaise Pascal-IFMA, Clermont-Ferrand, France

    M. Grédiac (SEM Member)

  5. LMT-Cachan, ENS Cachan / CNRS, University Paris 6, PRES Universud Paris, Cachan, France

    F. Hild

  6. SMS, LTDS, UMR CNRS 5513, Ecole Mines St Étienne, St-Étienne, France

    J. Molimard

  7. Université de Toulouse, Ecole Mines Albi, CROMeP, 81013, Albi, France

    J.-J. Orteu (SEM Member) & L. Robert

  8. Visuol Technologies, Metz, France

    Y. Surrel

  9. SYMME, Université de Savoie, Annecy, France

    P. Vacher

  10. LMGC, UMR CNRS 5508, Université Montpellier II, Montpellier, France

    B. Wattrisse

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  1. M. Bornert
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  2. F. Brémand
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  3. P. Doumalin
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  8. S. Mistou
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  9. J. Molimard
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  10. J.-J. Orteu
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  11. L. Robert
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  12. Y. Surrel
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  13. P. Vacher
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  14. B. Wattrisse
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Corresponding author

Correspondence to J.-J. Orteu.

Additional information

Workgroup “Metrology” of the French CNRS research network 2519 “Mesures de Champs et Identification en Mécanique des Solides/Full-field measurements and identification in solid mechanics”. URL: http://www.ifma.fr/lami/gdr2519

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Bornert, M., Brémand, F., Doumalin, P. et al. Assessment of Digital Image Correlation Measurement Errors: Methodology and Results. Exp Mech 49, 353–370 (2009). https://doi.org/10.1007/s11340-008-9204-7

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  • DOI: https://doi.org/10.1007/s11340-008-9204-7

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