A Taichi implementation of Smooth Particle Hydrodynamics (SPH) simulator. Taichi is a productive & portable programming language for high-performance, sparse & differentiable computing. The 2D case below can be run and rendered efficiently on a laptop thanks to Taichi.
Currently, the following features have been implemented:
- Weakly Compressible SPH (WCSPH)[1]
- Predictive-Corrective Incompressible SPH (PCISPH)[2]
- Divergence free SPH (DFSPH)[3]
Taichi Version: 0.6.10
- Demo (PCISPH, 4.5k particles)
Run python scene.py
Demos for the other two methods: python scene.py --method WCSPH or python scene.py --method DFSPH
- M. Becker and M. Teschner (2007). "Weakly compressible SPH for free surface flows". In:Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation. Eurographics Association, pp. 209–217.
- B. Solenthaler and R. Pajarola (2009). “Predictive-corrective incompressible SPH”. In: ACM SIGGRAPH 2009 papers, pp. 1–6.
- J. Bender, D. Koschier (2015) Divergence-free smoothed particle hydrodynamics[C]//Proceedings of the 14th ACM SIGGRAPH/Eurographics symposium on computer animation. ACM, 2015: 147-155.