arrow
Return

An optimized source term formulation for incompressible SPH

delete2018-02-20
delete21
PRE
AI
J
Jens Cornelis *
J
Jan Bender
C
Christoph Gissler
M
Matthias Teschner
DOI:10.1007/s00371-018-1488-8delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Incompressible SPH (ISPH) is a promising concept for the pressure computation in SPH. It works with large timesteps and the underlying pressure Poisson equation (PPE) can be solved very efficiently. Still, various aspects of current ISPH formulations can be optimized. This paper discusses issues of the two standard source terms that are typically employed in PPEs, i.e., density invariance (DI) and velocity divergence (VD). We show that the DI source term suffers from significant artificial viscosity, while the VD source term suffers from particle disorder and volume loss. As a conclusion of these findings, we propose a novel source term handling. A first PPE is solved with the VD source term to compute a divergence-free velocity field with minimized artificial viscosity. To address the resulting volume error and particle disorder, a second PPE is solved to improve the sampling quality. The result of the second PPE is used for a particle shift (PS) only. The divergence-free velocity fieldcomputed from the first PPEis not changed, but only resampled at the updated particle positions. Thus, the proposed source term handling incorporates velocity divergence and particle shift (VD+PS). The proposed VD+PS variant does not only improve the quality of the computed velocity field, but also accelerates the performance of the ISPH pressure computation. This is illustrated for IISPHa recent ISPH implementationwhere a performance gain factor of 1.6 could be achieved.
Keywords:
Three-dimensional graphics and realism
Animation
Fluid simulation
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Visual Computer cover
Visual Computer
IF:
2.9
Papers:
4.6K
Citations:
6.5K

Organization

R
RWTH Aachen University
Scholars:
3.5W
Papers: 2.6W
Citations: 3.6W
U
University of Freiburg
Scholars:
3.3W
Papers: 2.4W
Citations: 3.4W