SIMULATION OF CORRELATED AND UNCORRELATED PACKING OF RANDOM SIZE SPHERES

We present an algorithm to simulate the packing of large samples of sp heres chosen from a truncated log-normal distribution for either corre lated or uncorrelated distributions. Use of a concept known as the por osity index provides a means to control the final porosity of a packed sample within a range that spans limits approaching random close pack ing and random loose packing structures. Agreement with previous theor etical, computational, and experimental results is good, and results o f previously uninvestigated correlated systems are presented.