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Experimental Mechanics
Erschienen in: Experimental Mechanics 2/2015

01.02.2015

A Self Adaptive Global Digital Image Correlation Algorithm

verfasst von: L. Wittevrongel, P. Lava, S. V. Lomov, D. Debruyne

Erschienen in: Experimental Mechanics | Ausgabe 2/2015

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Abstract

A novel Digital Image Correlation algorithm is presented, focussing on accurately determining small strains with high strain gradients. Principles from p-adaptive finite element analysis are implemented to obtain a self adapting higher order mesh. The self adapting principle reduces the dependency of the results on the user’s input and the higher orders insure sufficient degrees of freedom. Performance of the algorithm, in terms of resolution and spatial resolution, is checked and compared to the traditional local method. The results indicate that the introduced method is appropriate for accurately measuring high heterogeneous deformations and that the obtained data is to a large extent user independent.
Vorheriger Artikel Characterisation of Knee Brace Migration and Associated Skin Deformation During Flexion by Full-Field Measurements
Nächster Artikel Digital Image Correlation Development for the Study of Materials Including Multiple Crossing Cracks

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Metadaten
Titel
A Self Adaptive Global Digital Image Correlation Algorithm
verfasst von
L. Wittevrongel
P. Lava
S. V. Lomov
D. Debruyne
Publikationsdatum
01.02.2015
Verlag
Springer US
Erschienen in
Experimental Mechanics / Ausgabe 2/2015
Print ISSN: 0014-4851
Elektronische ISSN: 1741-2765
DOI
https://doi.org/10.1007/s11340-014-9946-3

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