Dynamic Particle Coupling for GPU-based Fluid Simulation

Abstract

The main research approaches in Computational Fluid Dynamics (CFD) are grid-based(Euler) or based on particle motion (Lagrange). For interactive ?uid simulation, tech-niques have been developed to use the Graphics Processing Unit (GPU) to speed up thecomputation using an Eulerian approach.This paper describes an approach for setting up a Lagrangian particle based ?uidsimulation on the GPU. This builds upon earlier results on simulation of uncoupledparticles. The major contribution of this work is a new approach for modeling dynamicparticle coupling solely based on individual particle contributions. This technique doesnot need global sorting or an explicite solution of the n-nearest neighbor problem.