ADAPTIVE POSITION-BASED FLUIDS:
IMPROVING PERFORMANCE OF FLUID
SIMULATIONS FOR REAL-TIME APPLICATIONS
Marcel Köster and Antonio Krüger
German Research Center for Artificial Intelligence, Saarland Informatics Campus,
Saarbruecken, Germany
ABSTRACT
The Position Based Fluids (PBF) method is a state-of-the-art approach for fluid simulations in the context
of real-time applications like games. It uses an iterative solver concept that tries to maintain a constant
fluid density (incompressibility) to realize incompressible fluids like water. However, larger fluid volumes
that consist of several hundred thousand particles (e.g. for the simulation of oceans) require many
iterations and a lot of simulation power. We present a lightweight and easy-to-integrate extension to PBF
that adaptively adjusts the number of solver iterations on a fine-grained basis. Using a novel adaptivesimulation approach, we are able to achieve significant improvements in performance on our evaluation
scenarios while maintaining high-quality results in terms of visualization quality, which makes it a perfect
choice for game developers. Furthermore, our method does not weaken the advantages of prior work and
seamlessly integrates into other position-based methods for physically-based simulations.
KEYWORDS
Fluid simulation, Adaptive fluid simulation, Position based fluids, Adaptive position-based fluids, SPH,
PCISPH, Constraint fluids, Position based dynamics
For More Details:http://aircconline.com/ijcga/V6N3/6316ijcga01.pdf
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