Skeletonization-based beam finite element models for stochastic bicontinuous materials: Application to simulations of nanoporous gold

摘要: An efficient representative volume element generation strategy is developed in modeling nanoporous materials. It uses periodic 3D beam finite (FE) models derived from skeletonization of spinodal-like stochastic microstructures produced by a leveled random field. To mimic stiffening with agglomeration the mass at junctions, an increased Young’s modulus assigned to elements within junction zone. The effective modulus, Poisson’s ratio, and universal anisotropy index are computed. A good agreement predictions those obtained experimental results for phase fractions $0.20<{\phi _{\cal B}}<0.50$ observed. Moreover, elastic generated networks shows sufficient proximity isotropy. Finally, it demonstrated that, as compared simulation statistics voxel-FE models, beam-FE over 500-fold computational acceleration 250-fold less memory requirement provided.