A point-based method for animating incompressible flow
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Direct pore-level modeling of incompressible fluid flow in porous media
Journal of Computational Physics
A particle-based method for large-scale breaking waves simulation
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
ACM SIGGRAPH 2011 papers
A particle-based method for preserving fluid sheets
SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Hybrid smoothed particle hydrodynamics
SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
A new SPH fluid simulation method using ellipsoidal kernels
Journal of Visualization
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We propose a particle-based technique for simulating incompressible fluid that includes adaptive refinement of particle sampling. Each particle represents a mass of fluid in its local region. Particles are split into several particles for finer sampling in regions of complex flow. In regions of smooth flow, neighboring particles can be merged. Depth below the surface and Reynolds number are exploited as our criteria for determining whether splitting or merging should take place. For the fluid dynamics calculations, we use the hybrid FLIP method, which is computationally simple and efficient. Since the fluid is incompressible, each particle has a volume proportional to its mass. A kernel function, whose effective range is based on this volume, is used for transferring and updating the particle’s physical properties such as mass and velocity. Our adaptive particle-based simulation is demonstrated in several scenarios that show its effectiveness in capturing fine detail of the flow, where needed, while efficiently sampling regions where less detail is required.