No Cover Image

Journal article 278 views 161 downloads

Incompressibility Enforcement for Multiple-Fluid SPH Using Deformation Gradient

Bo Ren Orcid Logo, Wei He, Chenfeng Li Orcid Logo, Xu Chen Orcid Logo

IEEE Transactions on Visualization and Computer Graphics, Volume: 28, Issue: 10, Pages: 3417 - 3427

Swansea University Author: Chenfeng Li Orcid Logo

Check full text

DOI (Published version): 10.1109/tvcg.2021.3062643

Abstract

To maintain incompressibility in SPH fluid simulations is important for visual plausibility. However, it remains an outstanding challenge to enforce incompressibility in such recent multiple-fluid simulators as the mixture-model SPH framework. To tackle this problem, we propose a novel incompressibl...

Full description

Published in: IEEE Transactions on Visualization and Computer Graphics
ISSN: 1077-2626 1941-0506
Published: Institute of Electrical and Electronics Engineers (IEEE) 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa56467
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract: To maintain incompressibility in SPH fluid simulations is important for visual plausibility. However, it remains an outstanding challenge to enforce incompressibility in such recent multiple-fluid simulators as the mixture-model SPH framework. To tackle this problem, we propose a novel incompressible SPH solver, where the compressibility of fluid is directly measured by the deformation gradient. By disconnecting the incompressibility of fluid from the conditions of constant density and divergence-free velocity, the new incompressible SPH solver is applicable to both single- and multiple-fluid simulations. The proposed algorithm can be readily integrated into existing incompressible SPH frameworks developed for single-fluid, and is fully parallelizable on GPU. Applied to multiple-fluid simulations, the new incompressible SPH scheme significantly improves the visual effects of the mixture-model simulation, and it also allows exploitation for artistic controlling.
College: Faculty of Science and Engineering
Funders: National Key R&D Program of China (Grant Number: 2017YFB1002701)
Issue: 10
Start Page: 3417
End Page: 3427

Similar Items