Architecture-Driven Digital Image Correlation Technique (ADDICT) for the measurement of sub-cellular kinematic fields in speckle-free cellular materials

Measuring displacement and strain fields at low observable scales of complex microstructures still remains a challenge in experimental mechanics often because the combination definition images with poor texture this scale. This is case for cellular materials, which local phenomena can occur. The aim paper to design validate numerically experimentally Digital Image Correlation (DIC) technique measurement samples geometries (i.e. presenting multiple random holes). It consists DIC method assisted physically sound weak regularization using an elastic B-spline image-based model. introduces separation above dominant below it modeling. Several silico experimentations are performed order finely analyze influence introduced lengths different input mechanical behaviors (elastic, elasto-plastic geometrically non-linear) comparison true error quantification. We show that estimate speckle-free images, even non-linear regimes such as buckling or plasticity. Finally, validation 2D-DIC allow proposed on resolution classic speckled high images.