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Journal Articles Experimental Mechanics Year : 2023

Introducing Virtual DIC to Remove Interpolation Bias and Process Optimal Patterns

Y. Shi
  • Function : Author
B. Blaysat
Hélène Chanal
M. Grédiac
  • Function : Author

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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Dates and versions

hal-04002213 , version 1 (23-02-2023)

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Y. Shi, B. Blaysat, Hélène Chanal, M. Grédiac. Introducing Virtual DIC to Remove Interpolation Bias and Process Optimal Patterns. Experimental Mechanics, 2023, ⟨10.1007/s11340-023-00941-2⟩. ⟨hal-04002213⟩
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