Evaluating Damage with Digital Image Correlation: A. Introductory Remarks and Detection of Physical Damage

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Abstract

The present chapter is devoted to the evaluation of damage with digital image correlation (DIC). This measurement technique provides 2D or 3D displacement fields that can be used to study damage mechanisms through the correlation residuals or even tune material parameters of damage models. Different aspects related to the use of full-field measurements will be illustrated in the context of damage mechanics. The main issues associated with damage measurements (i.e., definition of damage, difficulty of measuring damage, and image correlation) are introduced. Then, applications related to damage detection via image correlation are discussed. Two-dimensional surface measurements and even three-dimensional fields in the bulk of loaded materials are considered.

Keywords

Displacement Field Digital Image Correlation Physical Damage Transverse Crack Displacement Discontinuity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

Many results reported herein have been obtained thanks to the help of and discussions with J. Adrien, P. Aimedieu, A. Fanget, B. Leboime, E. Maire, B. Raka, J. Rupil, N. Swiergiel, and L. Vincent. Part of the work has been supported by Agence Nationale de la Recherche (VULCOMP phases 1 and 2), by Ile de France region (SESAME project entitled “Plate-forme francilienne d’expérimentations mécaniques de 3 e génération,” and DICCIT project).

This chapter has been reviewed by Profs. A. Dragon and J. Lemaitre. The authors would like to warmly thank them for their patience and help in improving the compuscript. Last, this chapter is dedicated to Prof. F.A. Leckie (1929–2013) with whom the authors discussed many issues presented herein.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.LMT-CachanENS Cachan/CNRS/PRES UniverSud ParisCachan CedexFrance

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