Abstract
Level-cut Gaussian/filtered Poisson, mosaic, and Voronoi tessellation random fields are used to model two-phase random materials. Essential properties of these random fields are reviewed and Monte Carlo algorithms for generating synthetic two-phase materials are presented. Numerical examples are used to illustrate the implementation and features of these models for two-phase materials.