Stochastic modeling on fragmentation process over lifetime and its dynamical scaling law of fragment distribution

Abstract

We propose a stochastic model of a fragmentation process, developed by taking into account fragment lifetime as a function of their size based on the Gibrat process. If lifetime is determined by a power function of fragment size, numerical results indicate that size distributions at different times can be collapsed into a single time-invariant curve by scaling size by average fragment size (i.e., the distribution obeys the dynamical scaling law). If lifetime is determined by a logarithmic function of fragment size, the distribution does not obey the scaling law. The necessary and sufficient condition that the scaling law is obeyed is obtained by a scaling analysis of the master equation.

References in corpus (2)

• Shattering Transitions in Collision-Induced Fragmentation
• Numerical study of drying process and columnar fracture process in granules-water mixtures