Packing of discrete and irregular particles.

A new conditional modeling along with a level-set method that can produce high quality and large packs of irregular particles is proposed. First, an initial pack of particles is generated statistically using the particles provided through an X-ray image. Then, the mismatch locations, wherein an error map identifies the particles manifest unrealistic shapes, are detected. Next, a level-set algorithm is applied to refine the defected particles using the statistical distributions extracted from the actual particles. The generated packs are statistically and physically (i.e. flow modeling) compared with the original particles and they all represent an excellent agreement. [ABSTRACT FROM AUTHOR]