Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

9-2011

Abstract

Smoke simulation is one of the interesting topics in computer animation and it usually involves turbulence generation. Efficient generation of realistic turbulent flows becomes one of the challenges in smoke simulation. Vortex particle method, which is a hybrid method that combines grid-based and particle-based approaches, is often used for generating turbulent details. However, it may cause irrational artifacts due to its initial condition and vorticity forcing approach used. In this paper, a new vorticity forcing approach based on the spatial adaptive vorticity confinement is proposed to address this problem. In this approach, the spatial adaptive vorticity confinement force varies with helicity, leading to the fact that the grid-based simulation driven by the vortex particle is now based on the velocity field. Furthermore, we introduce an adaptive vortex particle approach to improve the computational efficiency of the simulation by making the influencing region adapt with the velocity and eliminating those particles with zero velocity in the vorticity forcing method. A parallel smoke simulator integrating our approaches has been implemented using GPUswith CUDA. Experimental results demonstrate that our proposed methods are efficient and effective for real-time smoke simulation.

Keywords

Computer animation, GPU; Grid-based, Grid-based simulation, Helicities, Hybrid method, Initial conditions, Smoke simulation, Spatial vorticity confinement, Turbulence generation, Velocity field, Vortex particle method, Vortex particles, Vorticity confinement, Zero velocity

Discipline

Databases and Information Systems

Research Areas

Information Systems and Management

Publication

Proceedings of the 12th International Conference on Computer-Aided Design and Computer Graphics, Jinan, China, 2011 September 15-17

First Page

317

Last Page

324

ISBN

9781457710797

Identifier

10.1109/cad/graphics.2011.69

Publisher

IEEE

City or Country

New Jersey

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/CAD/Graphics.2011.69

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