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Erschienen in: Experimental Mechanics 4/2023

14.02.2023 | Research paper

Introducing Virtual DIC to Remove Interpolation Bias and Process Optimal Patterns

verfasst von: Y. Shi, B. Blaysat, H. Chanal, M. Grédiac

Erschienen in: Experimental Mechanics | Ausgabe 4/2023

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Abstract

Background

Digital Image Correlation (DIC) is an image-based measurement technique routinely used in experimental mechanics, which provides displacement and strain maps of an observed surface/volume. The metrological performance of DIC has reached its limit which is directly determined by the texture of the imaged surface/volume.

Objective

This paper proposes a novel DIC strategy, which relies on a virtual image. This image, noiseless and of infinite resolution, is moreover optimized for providing measurements with the best metrological performance.

Methods

The so-called Virtual DIC retrieves the displacement fields by comparing this virtual image to the experimental images. No interpolation is required and processing optimal textures such as checkerboards is possible.

Results

Virtual DIC is first applied on synthetic images for comparison purposes with a usual DIC approach. Outstanding metrological performance is observed thanks to the possibility of processing checkerboard patterns.

Conclusions

The proposed Virtual DIC is twofold: (i) thanks to the use of a closed-form expression, built-in DIC operators are elaborated without recurring to noisy and poorly defined real images. Interpolation is therefore avoided; (ii) it makes possible it to process checkerboard patterns, which offers the best metrological performance.

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Metadaten
Titel
Introducing Virtual DIC to Remove Interpolation Bias and Process Optimal Patterns
verfasst von
Y. Shi
B. Blaysat
H. Chanal
M. Grédiac
Publikationsdatum
14.02.2023
Verlag
Springer US
Erschienen in
Experimental Mechanics / Ausgabe 4/2023
Print ISSN: 0014-4851
Elektronische ISSN: 1741-2765
DOI
https://doi.org/10.1007/s11340-023-00941-2

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