Speaker: Lukas Geyer (Computer Graphics 193-02)
Position-Based Fluids (PBF) are a Lagrangian fluid-simulation method and are an implementation of Smoothed Particle Hydrodynamics integrated into the Position-Based Dynamics (PBD) framework. In PBD, constraints applied to object positions are used to enforce a variety of physical laws. In the case of PBF, the fluid is represented by particles and constraints are added that prevent fluid compression. The original PBF method defines all particles to be of equal mass and rest density. We plan to create a method for generalizing PBF to allow particles to represent varying amounts of fluid. This would enable the fluid to be simulated with regionally varying levels of detail with the intent to reduce memory consumption and to increase performance. We will evaluate our method with an implementation running on the GPU.
