Fast Fourier Transform-based Micromechanical Modeling of Polycrystals with Direct Input from 3-D Microstructural Images
Emerging characterization methods in experimental mechanics pose a challenge to modelers to devise efficient formulations that permit interpretation and exploitation of the massive amount of data generated by these novel methods. In this talk we report recent advances in Fast Fourier Transform-based methods, which can efficiently use the voxelized microstructural images of heterogeneous materials as input to predict their micromechanical and effective response.
The focus of this presentation is on plastically deforming polycrystalline materials. New formulations and applications for different deformation regimes (visco-plasticity, elasto-plasticity, dilatational plasticity, non-local plasticity), some of them with direct input and validation from 3-D characterization methods, will be discussed.