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Multiphysics Simulations Supersonic nozzle flow against a flat plate, showing density (grey) and vorticity (colors). Read More >

Rocstar Simulation Cutaway of a joint slot in the Space Shuttle solid motor showing inhibitor fluid-structure interaction. Read More >

Stat3D

statistical characterization of materials

A critical preliminary piece of the statistical micromechanics approach to material property prediction is the statistical characterization of the material. Stat3D calculates n-point probability functions by randomly sampling the correlation function between the particle size modes specified in the computation and the binder material. It can characterize three-dimensional idealized packs containing spherical, ellipsoidal, or cubic particles and three-dimensional voxel packs. Currently one-point, two-point, and three-point statistics can be calculated by Stat3D.

isotropic

(Right) Polydispersed pack generated by Rocpack, consisting of 3002 particles. (Left) Isotropic two-point probability functions computed for the pack shown to the right. In this example, 200,000 throws of a sampling template with 1000 radial points and 20 circumferential points were used.

anisotropic

(Right) Bimodal lattice pack composed of small and large beads, containing 1200 small and 300 large particles. (Left) Anisotropic two-point probability functions computed for the pack shown to the right. In this example, 2,000,000 throws were used with a sampling template with 1000 radial points and 64 circumferential points were used.