M. Grédiac and F. Hild, Full-Field Measurements and Identication in Solid Mechanics, 2012.

S. Avril, M. Bonnet, A. Bretelle, M. Grédiac, F. Hild et al., Overview of identication methods of mechanical parameters based on full-eld measurements, Experimental Mechanics, vol.48, issue.4, p.381402, 2008.

M. Grédiac and F. Pierron, Applying the virtual elds method to the identication of elasto-plastic constitutive parameters, International Journal of Plasticity, vol.22, issue.4, p.602627, 2006.

S. Cooreman, D. Lecompte, H. Sol, J. Vantomme, and D. Debruyne, Elasto-plastic material parameter identication by inverse methods: Calculation of the sensitivity matrix, International Journal of Solids and Structures, vol.44, issue.13, p.43294341, 2007.

L. Robert, V. Velay, N. Decultot, R. , and S. , Identication of hardening parameters using nite element models and full-eld measurements: some case studies, Journal of Strain Analysis for Engineering Design, vol.47, issue.1, p.317, 2012.

J. Réthore, . Muhibullah, T. Elguedj, M. Coret, P. Chaudet et al., Robust identication of elasto-plastic constitutive law parameters from digital images using 3D kinematics, International Journal of Solids and Structures, vol.50, issue.1, p.7385, 2013.

F. Mathieu, H. Leclerc, F. Hild, R. , and S. , Estimation of Elastoplastic Parameters via Weighted FEMU and Integrated-DIC, Experimental Mechanics, vol.48, issue.2, p.105119, 2015.
DOI : 10.1007/s11340-014-9888-9

URL : https://hal.archives-ouvertes.fr/hal-01166755

D. Claire, F. Hild, R. , and S. , Identification of damage fields using kinematic measurements, Comptes Rendus M??canique, vol.330, issue.11, pp.729-734, 2002.
DOI : 10.1016/S1631-0721(02)01524-3

URL : https://hal.archives-ouvertes.fr/hal-00002902

H. Chalal, F. Meraghni, F. Pierron, and M. Grédiac, Direct identication of the damage behaviour of composite materials using the virtual elds method, Composites: Part A, vol.35, p.841848, 2004.

J. Réthoré, A fully integrated noise robust strategy for the identication of constitutive laws from digital images, International Journal for Numerical Methods in Engineering, vol.84, issue.6, p.631660, 2010.

T. Wu, M. Coret, and A. Combescure, Strain Localisation and Damage Measurement by Full 3D Digital Image Correlation: Application to 15-5PH Stainless Steel, Strain, vol.73, issue.1, p.4961, 2011.
DOI : 10.1111/j.1475-1305.2008.00600.x

URL : https://hal.archives-ouvertes.fr/hal-00555549

A. Bouterf, S. Roux, F. Hild, G. Vivier, X. Brajer et al., Damage law identication from full eld displacement measurement: Application to four-point bending test for plasterboard, European Journal of Mechanics A/Solids, vol.49, p.6066, 2015.

M. Grédiac, Principe des travaux virtuels et identication Comptes Rendus de l, Académie des Sciences, vol.II, issue.309, p.15, 1989.

D. Claire, F. Hild, R. , and S. , A nite element formulation to identify damage elds: the equilibrium gap method, International Journal for Numerical Methods in Engineering, vol.61, issue.2, p.189208, 2004.

D. Claire, F. Hild, R. , and S. , Identication of a damage law by using full-eld displacement measurements, International Journal of Damage Mechanics, vol.16, issue.2, p.179197, 2007.

S. Avril, F. Pierron, M. A. Sutton, Y. , and J. , Identication of elasto-visco-plastic parameters and characterization of luders behavior using digital image correlation and the virtual elds method, Mechanics of Materials, vol.40, issue.9, p.729742, 2008.

F. Pierron, S. Avril, T. , and V. , Extension of the virtual elds method to elasto-plastic material identication with cyclic loads and kinematic hardening, International Journal of Solids and Structures, vol.47, pp.22-2329933010, 2010.

F. Latourte, A. Chrysochoos, S. Pagano, and D. Wattrisse, Elastoplastic behavior identication for heterogeneous loadings and materials, Experimental Mechanics, vol.48, issue.4, p.435449, 2008.

F. Hild, R. , and S. , Digital Image Correlation: from Displacement Measurement to Identification of Elastic Properties - a Review, Strain, vol.334, issue.Srie I, p.6980, 2006.
DOI : 10.1111/j.1475-1305.2006.00258.x

URL : https://hal.archives-ouvertes.fr/hal-00013816

S. Roux and F. Hild, Stress intensity factor measurements from digital image correlation: post-processing and integrated approaches, International Journal of Fracture, vol.40, issue.1, p.141157, 2006.
DOI : 10.1007/s10704-006-6631-2

URL : https://hal.archives-ouvertes.fr/hal-00013818

H. Leclerc, J. Périé, S. Roux, and F. Hild, Integrated digital image correlation for the identication of mechanical properties, pp.161-171, 2009.

S. Roux and F. Hild, Digital image mechanical identication (DIMI), Experimental Mechanics, vol.48, issue.4, p.495508, 2008.

M. Rossi, G. Broggiato, and S. Papalini, Identication of ductile damage parameters using digital image processing, SEM Annual Conference and Exposition on Experimental and Applied Mechanics -Experimental Mechanics, 2006.

G. Broggiato, Adaptive image correlation technique for full-eld strain measurement, Proceedings 12th Int. Conf. Exp. Mech, 2004.

Y. Sun, J. Pang, C. Wong, and F. Su, Finite element formulation for a digital image correlation method, Applied Optics, vol.44, issue.34, pp.7357-7363, 2005.
DOI : 10.1364/AO.44.007357

G. Besnard, F. Hild, R. , and S. , nite-element displacement elds analysis from digital images: Application to Portevin-Le Chatelier bands, Experimental Mechanics, vol.46, issue.6, p.789804, 2006.

F. Hild and S. Roux, Comparison of Local and Global Approaches to Digital Image Correlation, Experimental Mechanics, vol.39, issue.8, pp.1503-1519, 2012.
DOI : 10.1007/s11340-012-9603-7

URL : https://hal.archives-ouvertes.fr/hal-00750756

M. Sutton, W. Wolters, W. Peters, W. Ranson, and S. Mcneill, Determination of displacements using an improved digital correlation method, Image and Vision Computing, vol.1, issue.3, pp.133-139, 1983.
DOI : 10.1016/0262-8856(83)90064-1

T. Chu, W. Ranson, and M. Sutton, Applications of digital-imagecorrelation techniques to experimental mechanics, Experimental Mechanics, vol.25, issue.3, p.232244, 1985.

H. Schreier and M. Sutton, Systematic errors in digital image correlation due to undermatched subset shape functions, Experimental Mechanics, vol.41, issue.1, pp.303-310, 2002.
DOI : 10.1007/BF02410987

P. Ludwik, Elemente der technologischen Mechanik, Verlag von Julius Springer, 1909.
DOI : 10.1007/978-3-662-40293-1

P. Armstrong and C. Frederick, A mathematical representation of the multiaxial bauschinger eect, Report RD Central Electricity Generating Board, vol.731, 1966.

W. Prager, A new method of analysing stress and strain in work hardening plastic solids, ASME Journal of Applied Mechanics, vol.78, issue.493, 1956.

Z. Tomi£evi¢, Identication of the mechanical properties of nodular graphite cast iron via multiaxial tests, 2015.

J. Lemaitre, How to use damage mechanics, Nuclear Engineering and Design, vol.80, issue.2, p.233245, 1984.
DOI : 10.1016/0029-5493(84)90169-9

M. Bertin, F. Hild, S. Roux, F. Mathieu, H. Leclerc et al., Integrated Digital Image Correlation applied to elasto-plastic identication in a biaxial experiment, J. Strain Analysis, vol.51, issue.2, p.118131, 2016.

J. Lemaitre and R. Desmorat, Engineering Damage Mechanics:Ductile, Creep, Fatigue and Brittle Failures, 2005.

S. Roux, F. Hild, P. Viot, and D. Bernard, Three-dimensional image correlation from X-ray computed tomography of solid foam, Composites Part A: Applied Science and Manufacturing, vol.39, issue.8, p.12531265, 2008.
DOI : 10.1016/j.compositesa.2007.11.011

URL : https://hal.archives-ouvertes.fr/hal-01006730

T. Taillandier-thomas, S. Roux, T. Morgeneyer, and F. Hild, Localized strain eld measurement on laminography data with mechanical regularization. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with, Materials and Atoms, vol.324, issue.0, p.7079, 2014.

B. Bay, T. Smith, D. Fyhrie, and M. Saad, Digital volume correlation: Three-dimensional strain mapping using X-ray tomography, Experimental Mechanics, vol.27, issue.10???12, p.217226, 1999.
DOI : 10.1007/BF02323555

T. Smith, B. Bay, and M. Rashid, Digital volume correlation including rotational degrees of freedom during minimization, Experimental Mechanics, vol.48, issue.10, p.272278, 2002.
DOI : 10.1007/BF02410982

E. Verhulp, B. Van-rietbergen, and R. Huiskes, A three-dimensional digital image correlation technique for strain measurements in microstructures, Journal of Biomechanics, vol.37, issue.9, pp.1313-1320, 2004.
DOI : 10.1016/j.jbiomech.2003.12.036

N. Limodin, Y. Réthoré, J. Buère, A. Gravouil, F. Hild et al., Crack closure and stress intensity factor measurements in nodular graphite cast iron using three-dimensional correlation of laboratory X-ray microtomography images, Acta Materialia, vol.57, issue.14, p.40904101, 2009.
DOI : 10.1016/j.actamat.2009.05.005

URL : https://hal.archives-ouvertes.fr/hal-00410325

N. Limodin, Y. Réthoré, J. Buère, F. Hild, S. Roux et al., Influence of closure on the 3D propagation of fatigue cracks in a nodular cast iron investigated by X-ray tomography and 3D volume correlation, Acta Materialia, vol.58, issue.8, pp.2957-2967, 2010.
DOI : 10.1016/j.actamat.2010.01.024

URL : https://hal.archives-ouvertes.fr/hal-00453971

Z. Tomi£evi¢, F. Hild, R. , and S. , Mechanics-aided digital image correlation, Journal of Strain Analysis for Engineering Design, vol.48, issue.5, p.330343, 2013.

Z. Tomi£evi¢, J. Kodvanj, and F. Hild, Characterization of the nonlinear behavior of nodular graphite cast iron via inverse identication -Analysis of biaxial tests Submitted for publication 2015. 15 Standard displacement resolution with C8 and RC8-DVC for dierent regularization lengths m (RC8-DVC) or element size (C8-DVC, circle) 16-voxel elements are used in RC8-DVC analyses, 16 Measured displacement elds (expressed in voxels, 1 voxel ? 6.4 µm) in (a) & (b) x, (b) & (c) y and (c) & (d) z-directions corresponding to load levels 560 N (left) and 750 N (right, p.36