PhysicallyBased Fluid Modeling using Smoothed Particle
Hydrodynamics
Table of Contents
Chapter 2: Particle Systems and Fluid Dynamics
CHAPTER 1
Introduction
One of the most beautiful physical phenomena is the motion of liquid: flowing
rivers, dripping oil, coffee pouring and mixing with cream. The complex
behavior of the liquid is what makes it so fascinating, but is also why
it is one of the most challenging phenomena to model for computer graphics.
Fluid in motion has a very dynamic structure. It is always changing shape,
often splitting apart and rejoining again. Mimicking this behavior for
computer animation requires complex models and efficient rendering. Fluid
will not look realistic if rendered using only a few simple polygons. Point
rendering is successful in situations such as spray or waterfalls, but
rendering methods such as ray tracing or high resolution polygonization
are needed for a realistic animation of continuous fluid. The underlying
model can be, but is not required to be, physically based. In any case,
complex equations are often needed in order to approximate the behavior
so that the resulting animation is realistic. With all this complexity
there are performance bottlenecks which make an interactive or realtime
system difficult to attain.
The intent of the research presented here is the establishment of a
new physically based model of fluid motion. The end goals included:

realistic physically based motion,

appropriate interaction between fluid and surrounding environment,

interactive computation speeds,

fast rendering.
In order to achieve these goals a particle system was developed with dynamics
based on a computational fluid dynamics (CFD) model known as Smoothed Particle
Hydrodynamics (SPH). Particles represent small volumes of fluid and move
in response to natural forces such as gravity and pressure. Most of the
intended goals were achieved. This model gives realistic physically based
motion. Particles can move at interactive speeds and particles react properly
when coming into contact with solid objects in the environment. The algorithm
for rendering the fluid as a surface turned out to be a significant performance
bottleneck. Future efforts include research into more efficient surface
generation techniques, as well as other methods for improving the realism
of the fluid animation.
The remainder of this chapter describes previous methods for modeling
fluid in computer graphics. Chapter 2 details the background of particle
systems and fluid dynamics, the two areas from which this research stems.
Chapter 3 discusses the details of the model being presented. Chapters
4 and 5 go into performance results and future work.
1.1. Previous Fluid Modeling Methods
Accurate models of fluid motion based on physical equations exist (i.e.
the NavierStokes equations) but are far too complex to be of practical
use for computer graphics. As a result, graphics research in this area
(as in many areas) has focused on finding simpler models which are efficient
and approximate motion well enough to give realistic looking results.
Water waves have been modeled using a wide variety of approaches, including
stochastic models (Perlin, 1985; Mastin, 1987) and kinematic models (Max,
1981; T'so, 1987). Kass and Miller (Kass, 1990) presented a dynamic model
for wave motion using the hydrodynamic equations to animate a height field.
They simplified shallow water equations and applied the solution to a two
dimensional grid representing the water surface. Spray and foam from breaking
waves have been modeled by adding particle systems to kinematic models
using height fields (Peachy, 1986) and parametric surfaces (Fournier, 1986).
Particle systems have also been used for modeling ship wakes (Goss, 1990)
and waterfalls (Sims, 1990).
Coupled particle systems (where particles interact with each other)
have been used to create a molecular dynamics model for animating viscous
liquids (Miller, 1989; Terzopoulos, 1989; Tonnesen, 1991). In this model
particle motion is governed by the simulation of intermolecular forces
between pairs of particles. External forces such as gravity are also used,
resulting in macroscopic movement which is similar to that of slime, oil
or other viscous fluids.
This paper presents a model based on fluid dynamics instead of molecular
dynamics. The approach is similar to that of the molecular dynamics model,
but the simulation involves fluid forces instead of molecular forces. A
coupled particle system is used where particles interact according to the
hydrodynamic equations of motion specified by a particlebased computational
fluid dynamics model known as Smoothed Particle Hydrodynamics.
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Chapter 2