Title
A Unified Detail-Preserving Liquid Simulation by Two-Phase Lattice Boltzmann Modeling.
Abstract
Traditional methods in graphics to simulate liquid-air dynamics under different scenarios usually employ separate approaches with sophisticated interface tracking/reconstruction techniques. In this paper, we propose a novel unified approach which is easy and effective to produce a variety of liquid-air interface phenomena. These phenomena, such as complex surface splashes, bubble interactions, as well as surface tension effects, can co-exist in one single simulation, and are created within the same computational framework. Such a framework is unique in that it is free from any complicated interface tracking/reconstruction procedures. Our approach is developed from the two-phase lattice Boltzmann method with the mean field model, which provides a unified framework for interface dynamics but is numerically unstable under turbulent conditions. Considering the drawbacks of the existing approaches, we propose techniques to suppress oscillations for significant stability enhancement, as well as derive a new subgrid-scale model to further improve stability, faithfully preserving liquid-air interface details without excessive diffusion by taking into account the density variation. The whole framework is highly parallel, enabling very efficient implementation. Comparisons with the related approaches show superiority on stable simulations with detail preservation and multiphase phenomena simultaneously involved. A set of animation results demonstrate the effectiveness of our method.
Year
DOI
Venue
2017
10.1109/TVCG.2016.2532335
IEEE Trans. Vis. Comput. Graph.
Keywords
Field
DocType
Computational modeling,Mathematical model,Liquids,Lattice Boltzmann methods,Surface tension,Indexes
Graphics,HPP model,Oscillation,Surface tension,Computer science,Simulation,Turbulence,Lattice Boltzmann methods,Theoretical computer science,Computational science,Mean field theory,Animation
Journal
Volume
Issue
ISSN
23
5
1077-2626
Citations 
PageRank 
References 
3
0.36
14
Authors
3
Name
Order
Citations
PageRank
Yulong Guo140.71
Xiaopei Liu284.53
Xuemiao Xu3829.22