An Efficient Adaptive Vortex Particle Method for Real-Time Smoke Simulation (Paper 141)
Smoke simulation is one of the interesting topics in com- puter animation and it usually involves turbulence genera- tion. 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 that are useless in the vor- ticity forcing method. A parallel smoke simulator integrating our approaches is implemented using GPUs with CUDA. Experimental results demonstrate that our proposed methods are efficient and effective for real-time smoke simulation.
国际会议
2011国际计算机辅助设计与图形学学术会议(CAD/Graphics 2011)
济南
英文
1-7
2011-09-15（万方平台首次上网日期，不代表论文的发表时间）