Integrated Digital Image Correlation for the Identification of Mechanical Properties

Authors:
Hugo Leclerc;Jean-Noël Périé;Stéphane Roux;François Hild
Affiliations:
LMT-Cachan, (ENS Cachan/CNRS/UPMC/PRES UniverSud Paris), Cachan Cedex, France F-94235;LMT-Cachan, (ENS Cachan/CNRS/UPMC/PRES UniverSud Paris), Cachan Cedex, France F-94235;LMT-Cachan, (ENS Cachan/CNRS/UPMC/PRES UniverSud Paris), Cachan Cedex, France F-94235;LMT-Cachan, (ENS Cachan/CNRS/UPMC/PRES UniverSud Paris), Cachan Cedex, France F-94235
Venue:
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Year:
2009

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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.