Warm starting the projected Gauss-Seidel algorithm for granular matter simulation

D. Wang, M. Servin, and T. Berglund. Warm starting the projected Gauss-Seidel algorithm for granular matter simulation. Computational Particle Mechanics 3(1):43-52 (2016). doi:10.1007/s40571-015-0088-x arXiv:1509.04042 [preprint pdf]
Abstract

The effect on the convergence of warm starting the projected Gauss-Seidel solver for nonsmooth discrete element simulation of granular matter are investigated. It is found that the computational performance can be increased by a factor 2 to 5.

Rotating drum simulations, coloured by particle velocity

Rotating drum simulations, coloured by particle velocity.

Videos
Downloads

Simulation videos.