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Multiscale FE-Based DIC for Enhanced Measurements and Constitutive Parameter Identification

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Advancement of Optical Methods in Experimental Mechanics, Volume 3

Abstract

Since they provide a large amount of information, full-field measurement techniques like Digital Image Correlation (DIC) allow the identification of several material parameters from a single non-homogeneous test. However the level of uncertainty associated with the identified parameters depends on the displacement measurement uncertainties, which are related to the spatial resolution of the measurement. To overcome the well-known compromise between spatial resolution and uncertainty, a multiscale approach to Finite Element DIC (FE-DIC) is proposed by considering additional nearfield images to improve locally the resolution of the measurement. An accurate estimation of the nearfield/farfield transformation is obtained by a dedicated global DIC method to bridge precisely the measurements at both scales. This multiscale FE-DIC measurement is then associated to a multiscale Finite Element Model Updating (FEMU) identification technique. After being validated on synthetic test cases, the method is applied to a tensile test carried out on an open-hole specimen made of glass/epoxy laminate. The four in-plane orthotropic elastic parameters are identified. Results show that the multiscale approach greatly improves the uncertainties of both the measured displacements and the identified material parameters.

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References

  1. Grédiac M, Hild F (eds) (2012) Full-field measurements and identification in solid mechanics. Wiley, New York. ISBN: 9781848212947

    Google Scholar 

  2. Sutton MA, Orteu J-J, Schreier HW (2009) Image correlation for shape, motion and deformation measurements – basic concepts, theory and applications. Springer, New York. ISBN: 978-0-387-78746-6

    Google Scholar 

  3. Bornert M, Brémand F, Doumalin P, Dupré JC, Fazzini M, Grédiac M, Hild F, Mistou S, Molimard J, Orteu JJ, Robert L, Surrel Y, Vacher P, Wattrisse B (2009) Assessment of digital image correlation measurement errors: methodology and results. Exp Mech 49(3):353–370

    Article  Google Scholar 

  4. ASTM D3039-00 (2000) Standard test method for tensile properties of polymer matrix composite materials, vol. 15

    Google Scholar 

  5. Molimard J, Riche R, Vautrin A, Lee J (2005) Identification of the four orthotropic plate stiffnesses using a single open hole tensile test. Exp Mech 45(5):404–411

    Article  Google Scholar 

  6. Sztefek P, Olsson R (2008) Tensile stiffness distribution in impacted composite laminates determined by an inverse method. Compos Part A Appl Sci Manuf 39(8):1282–1293

    Article  Google Scholar 

  7. Avril S, Bonnet M, Bretelle AS, Grédiac M, Hild F, Ienny P, Latourte F, Lemosse D, Pagano S, Pagnacco E, Pierron F (2008) Overview of identification methods of mechanical parameters based on full-field measurements. Exp Mech 48(4):381–402

    Article  Google Scholar 

  8. Besnard G, Hild F, Roux S (2006) “Finite-element” displacement fields analysis from digital images: Application to Portevin-Le Châtelier bands. Exp Mech 46(6):789–803

    Article  Google Scholar 

  9. Wang YQ, Sutton MA, Bruck HA, Schreier HW (2009) Quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements. Strain 45(2):160–178

    Article  Google Scholar 

  10. Kavanagh KT, Clough RW (1971) Finite element applications in the characterization of elastic solids. Int J Solids Struct 7:11–23

    Article  MATH  Google Scholar 

  11. Lecompte D, Smits A, Sol H, Vantomme J, Hemelrijck DV (2007) Mixed numerical-experimental technique for orthotropic parameter identification using biaxial tensile tests on cruciform specimens. Int J Solids Struct 44(5):1643–1656

    Article  Google Scholar 

  12. Réthoré J, Muhibullah, Elguedj T, Coret M, Chaudet P, Combescure A, (2013) Robust identification of elasto-plastic constitutive law parameters from digital images using 3D kinematics. Int J Solids Struct 50:73–85

    Article  Google Scholar 

  13. Lucas B, Kanade T (1981) An iterative image registration technique with an application to stereo vision. In: Proceedings 1981 DARPA imaging understanding workshop, 121–130

    Google Scholar 

  14. Sutton M, Wolters W, Peters W, Ranson W, McNeill S (1983) Determination of displacements using an improved digital correlation method. Image Vis Comput 1(3):133–139

    Article  Google Scholar 

  15. Hild F, Roux S (2012) Comparison of local and global approaches to digital image correlation. Exp Mech 52(9):1503–1519

    Article  Google Scholar 

  16. Sun Y, Pang J, Wong CK, Su F (2005) Finite element formulation for a digital image correlation method. Appl Optic 44(34):7357–7363

    Article  Google Scholar 

  17. Amiot F, Bornert M, Doumalin P, Dupré JC, Fazzini M, Orteu JJ, Poilâne C, Robert L, Rotinat R, Toussaint E, Wattrisse B, Wienin JS (2013) Assessment of Digital Image Correlation measurement accuracy in the ultimate error regime: main results of a collaborative benchmark. Strain 49(6):483–496

    Article  Google Scholar 

  18. Leclerc H, Périé JN, Roux S, Hild F (2011) Voxel-scale digital volume correlation. Exp Mech 51(4):479–490

    Article  Google Scholar 

  19. Passieux J-C, Bugarin F, Périé J-N, Robert L, David C (2014) Multiscale displacement field measurement using digital image correlation: application to the identification of elastic properties. Exp Mech. doi: 10.1007/s11340-014-9872-4

  20. Orteu JJ, Garcia D, Robert L, Bugarin F (2006) A speckle-texture image generator. In: Speckle’06 International Conference, SPIE Proceedings, vol. 6341

    Google Scholar 

  21. Réthoré J, Elguedj T, Simon P, Coret M (2010) On the use of NURBS functions for displacement derivatives measurement by digital image correlation. Exp Mech 50(7):1099–1116

    Article  Google Scholar 

  22. Leclerc H, Périé JN, Roux S, Hild F (2009) Integrated digital image correlation for the identification of mechanical properties. Lect Note Comput Sci 5496:161–171

    Article  Google Scholar 

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Acknowledgement

The support of the “Agence Nationale de la Recherche” under grant VERTEX ANR-12-RMNP-0001-05 is gratefully acknowledged.

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Correspondence to Laurent Robert .

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Robert, L., Passieux, JC., Bugarin, F., David, C., Périé, JN. (2015). Multiscale FE-Based DIC for Enhanced Measurements and Constitutive Parameter Identification. In: Jin, H., Sciammarella, C., Yoshida, S., Lamberti, L. (eds) Advancement of Optical Methods in Experimental Mechanics, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-06986-9_30

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  • DOI: https://doi.org/10.1007/978-3-319-06986-9_30

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-06986-9

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