Integrated digital image correlation for micro-mechanical parameter identification in multiscale experiments

Micromechanical constitutive parameters are important for many engineering materials, typically in microelectronic applications and material design. Their accurate identification poses a three-fold experimental challenge: (i) deformation of the microstructure is observable only at small scales, requiring SEM or other microscopy techniques; (ii) external loadings applied (larger) device scale; (iii) depend on manufacturing process, necessitating measurements produced with same process. In this paper, micromechanical parameter heterogeneous solids addressed through multiscale experiments combined Integrated Digital Image Correlation (IDIC) conjunction various possible computational homogenization schemes. To end, some basic concepts underlying approaches available literature first reviewed, discussing their respective advantages disadvantages from as well point view. A link made recently introduced uncoupled methods, which allow ratios microscale, still lacking proper normalization. Two methods analysed, allowing to bridge gap between microstructural kinematics macroscopically measured forces, providing required It shown that an integrated experimental--computational scheme provides relaxed requirements scale separation. The accuracy performance discussed techniques analysed by means virtual experimentation under plane strain large assumptions unidirectional fibre-reinforced composites. robustness against image noise also assessed.