Integrated Digital Image Correlation for the Identification of Mechanical Properties
Hugo Leclerc, Jean-Noël Périé, Stéphane Roux
MIRAGE 2009: Computer Vision/Computer Graphics Collaboration Techniques, May 2009, pp. 161--171.
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.
@incollection{Leclerc:2009:IDI,
author = {Hugo Leclerc and Jean-Noël Périé and Stéphane Roux},
title = {Integrated Digital Image Correlation for the Identification of Mechanical Properties},
booktitle = {MIRAGE 2009: Computer Vision/Computer Graphics Collaboration Techniques},
pages = {161--171},
month = may,
year = {2009},
}
Return to the search page.
graphbib: Powered by "bibsql" and "SQLite3."