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Simulating Smoke and Water in CG

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The Particle Level Set Method for reducing numerical dissipation ... set in air cells bordering the water. Velocity Extrapolation/Extension ... – PowerPoint PPT presentation

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Title: Simulating Smoke and Water in CG


1
Simulating Smoke and Water in CG
  • Simulating Free-Surface Water Based on the Navier
    Stokes Equations

2
Last Time
  • The Particle Level Set Method for reducing
    numerical dissipation
  • Methods for high resolution level sets.

3
Todays Lecture
  • The Water Surface
  • The Water Solver
  • Pressure boundary condition at surface-cells
  • Velocity boundary conditions at surface-cells
  • Surface tension
  • Sources and drains
  • The MAC grid

4
How to Represent the Water Surface
We represent the water surface by a level set
(signed distance field).
?gt0
?lt0
  • All grid cells where ?lt0 are water
  • All grid cells where ?gt0 are air
  • Air grid cells with fluid cell neighbors are
    called surface cells.

5
Solver Overview
  • Given an initial level set and velocity field
  • Extrapolate/extend the velocity across the
    interface.
  • Advect the level set and the particles.
  • Apply sources and drains.
  • Use the new level set to define the new region of
    fluid.
  • Set boundary conditions for the free-surface,
    sources, drains and obstacles.
  • Apply forces and advect and diffuse fluid.
  • Compute pressure and divergence free velocity
    field.

6
Boundary Condtions for the Water Surface
  • We have discussed how to set pressure and
    velocities at the boundaries of solid objects.
    Here, fluid is not allowed to penetrate the
    boundary.
  • How do we specify pressure and velocity in air
    and surface cells?
  • It is important that the air excerts no stresses
    on the water surface, instead it should move
    freely.

Let us first recall how to solve for a divergence
free velocity field...
7
Computing a Divergence Free Velocity Field III
So we wish to solve the following equation known
as a Poisson equation
where
And where w is known and p is unknown.
Lets first write out the equation
In this case all the quantities we use are
defined at time t.
8
Computing a Divergence Free Velocity Field IV
  • Next we discretize the equation using finite
    differences

9
Computing a Divergence Free Velocity Field V
Now let
Multiplying the equation by ?x2 and re-arranging
terms, we get
Again there is a linear relations ship, so we can
solve a linear system Of equations of the form
Where A is a coefficient matrix, x is the
pressure we are solving for, and b Is the known
divergence of the velocity field.
10
Pressure Boundary Condition
  • In the case of a neighboring air cell we just set
    the air pressure to zero
  • This ensures that fluid can accurately expand and
    contract (the pressure gradient is not always
    parallel to the surface).
  • For more advanced surface effects, we can include
    surface tension...

pair 0
11
Surface Tension
  • Smooths out liquid surfaces.
  • Breaks up fluid into small droplets.
  • Caused by molecular cohesion.
  • Modeled using jump condition in the pressure
    field ??

Dirichlet Boundary Condition set in air cells
bordering the water.
12
Velocity Extrapolation/Extension
  • In order to make the surface move freely we must
    ensure that all fluid cells are divergence free.
    But we need boundary conditions for the velocity
    on the surface.
  • One option is to adjust the velocity in all
    surface cells such that all fluid cells become
    divergence free and use this as boundary
    condition. This is ambiguous.
  • Instead we apply velocity extrapolation into the
    air which in the limit is divergence free.

13
Velocity Extrapolation/Extension
  • Recall the level set equation for moving a
    surface
  • We can use a similar equation for moving a
    property in the normal of the level set surface
  • Let the velocity field be defined as
    then velocity extension is

14
Sources and Drains I
  • Modeled using CSG operations. Recall that the
    signed distance field is negative inside and
    positive outside

Union(x,y) min(x,y)
Intersect(x,y) max(x,y)
x-y subtract(x,y) Intersect(x,-y)
15
Sources and Drains II
  • A source is a collection of grid cells where
    there is always fluid
  • We can model it as a CSG union.
  • A drain is a collection of grid cells where there
    is never fluid
  • We can model it as a CSG subtraction.

Velocities can be given to source and drain grid
cells by explicitly specifying non-zero
velocities on the source/drain boundary and e.g.
incorporating it into the poisson equation when
solving for the pressure.
16
Solver Overview Revisited
  • Given an initial level set and velocity field
  • Extrapolate the velocity across the interface.
  • Advect the level set and the particles.
  • Apply sources and drains.
  • Use the new level set to define the new region of
    fluid.
  • Set boundary conditions for the free-surface,
    sources, drains and obstacles.
  • Apply forces and advect and diffuse fluid.
  • Compute pressure and divergence free velocity
    field.

17
The MAC/Staggered Grid
Velocities are stored at cell faces.
18
The MAC/Staggered Grid
  • Advantages
  • Conjugate gradient method converges in fewer
    iterations.
  • The resulting velocity field conserves mass
    better.
  • Central differences can be computed in the
    context of adjacent cells.

It is slightly more complicated to implement.
19
Recent Work in MultiPhase Fluids
  • Considers discontinuities in variables
  • Pressure jump (surface tension and bubble shape)
  • Density jump (rising bubbles)
  • Viscosity jump (bubble shape)

Important for small scale simulations!
20
Next Time
  • Simulating Ocean Water
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