Using Discrete Harmonic Expansions and Equilibrium Conditions to Estimate Intragrain Stress Distributions in Polycrystals from Grain-Averaged Data

Abstract

The application of harmonic expansions to estimate intra-grain stress distributions from grain-averaged stress data is presented that extends the capabilities of the open source code, MechMonics. The method is based on using an optimization algorithm to determine the harmonic expansion weights that reduce the violation of equilibrium while maintaining prescribed grain-averages. The method is demonstrated using synthetic data generated for uniaxial extension of a virtual polycrystal with the mechMet code.