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Assessment of Digital Image Correlation Measurement Accuracy in the Ultimate Error Regime: Main Results of a Collaborative Benchmark

Article dans une revue avec comité de lecture
Author
AMIOT, Fabien
866 Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) [FEMTO-ST]
BORNERT, Michel
204904 Laboratoire Navier [navier umr 8205]
DOUMALIN, Pascal
118112 Institut Pprime [UPR 3346] [PPrime [Poitiers]]
DUPRE, Jean Christophe
118112 Institut Pprime [UPR 3346] [PPrime [Poitiers]]
FAZZINI, Marina
103181 Laboratoire Génie de Production [LGP]
ORTEU, Jean José
110103 Institut Clément Ader [ICA]
POILANE, Christophe
56527 Centre de recherche sur les Ions, les MAtériaux et la Photonique [CIMAP - UMR 6252]
ROBERT, Laurent
110103 Institut Clément Ader [ICA]
ROTINAT, René
211915 Mechanics surfaces and materials processing [MSMP]
TOUSSAINT, Evelyne
38952 Laboratoire de Mécanique et Ingénieries [LAMI]
WATTRISSE, Bertrand
693 Laboratoire de Mécanique et Génie Civil [LMGC]
WIENIN, Jean Samuel
216607 Centre des Matériaux des Mines d'Alès [C2MA]

URI
http://hdl.handle.net/10985/8648
Date
2013
Journal
Strain

Abstract

We report on the main results of a collaborative work devoted to the study of the uncertainties associated with Digital image correlation techniques (DIC). More specifically, the dependence of displacement measurement uncertainties with both image characteristics and DIC parameters is emphasised. A previous work [Bornert et al. (2009) Assessment of digital image correlation measurement errors: methodology and results. Exp. Mech. 49, 353–370] dedicated to situations with spatially fluctuating displacement fields demonstrated the existence of an ‘ultimate error’ regime, insensitive to the mismatch between the shape function and the real displacement field. The present work is focused on this ultimate error. To ensure that there is no mismatch error, synthetic images of in-plane rigid body translation have been analysed. Several DIC softwares developed by or in use in the French community have been used to explore the effects of a large number of settings. The discrepancies between DIC evaluated displacements and prescribed ones have been statistically analysed in terms of random errors and systematic bias, in correlation with the fractional part τ of the displacement component expressed in pixels. Main results are as follows: (i) bias amplitude is almost always insensitive to subset size, (ii) standard deviation of random error increases with noise level and decreases with subset size and (iii) DIC formulations can be split up into two main families regarding bias sensitivity to noise. For the first one, bias amplitude increases with noise while it remains nearly constant for the second one. In addition, for the first family, a strong dependence of random error with τ is observed for noisy images.

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