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MODELING METEORITE IMPACTS WHAT WE KNOW AND WHAT WE WOULD LIKE TO KNOW

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MODELING METEORITE IMPACTS. WHAT WE KNOW AND WHAT WE WOULD LIKE TO KNOW ... Nuclear testing on Enewetak Atoll in 1958. Produced some remarkable craters ... – PowerPoint PPT presentation

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Title: MODELING METEORITE IMPACTS WHAT WE KNOW AND WHAT WE WOULD LIKE TO KNOW


1
MODELING METEORITE IMPACTS WHAT WE KNOW AND
WHAT WE WOULD LIKE TO KNOW
  • H. J. Melosh (Lunar and Planetary Lab, University
    of Arizona, Tucson AZ 85721. jmelosh_at_lpl.arizona.
    edu).

2
Why Create Computer Models?
  • Expand (contract) size scale from experimentally
    feasible studies
  • Study conditions beyond the reach of experiment
    (eg. velocity)
  • Verify the physics

3
Models must be tested!
  • Models of experiments are important
  • Models must be compared with observations
  • Lessons from DoD code verification
    program--Pacific Craters debacle not all bad!

4
BEWARE!
  • Just because a computer image looks good, doesnt
    mean it represents reality!

5
Decide what you want to know
  • Are we modeling a Planet?

Or a Rock?
You must decide on a scale, L, before you can
start a modeling task
6
Resolution, r
  • All models work by discretizing a real object
    into a large number of smaller elements (cells)
    whose properties and interactions with neighbors
    are represented by averages

7
Imagine a complex geologic system
8
Divide it into smaller elements
9
The number of elements depends on the desired
resolution and the number of space dimensions
10
  • The number of cells translates into the amount of
    memory a computer must have to do the simulation
  • For a 1-D simulation, storage N
  • For a 2-D simulation, storage N2
  • For a 3-D simulation, storage N3

11
For example, assuming a small problem in which 10
double-precision numbers are stored for each cell
(80 Bytes/cell) and N 1000,
  • For 1-D, need 80 kBytes storage (trivial!)
  • For 2-D, need 80 MBytes storage (This labtop can
    do that easily!)
  • For 3-D, need 80 GBytes storage (now we are up to
    supercomputers).

12
The amount of computer storage needed depends on
the desired resolution--you cannot simulate a
planet and a rock in the same calculation!
13
  • The runtime required for a computation depends on
    the model duration, T, and the resolution r
  • Stability requires that the time step Dt be a
    fraction (usually about 1/5) of the time for
    sound to traverse the smallest cell
  • Dt r/soundspeed
  • The number of timesteps is T/ Dt
  • So the total runtime is proportional to N times
    the number of cells in the model

14
For the same example as before, assuming the
computation takes 1 ms/cell, to get to the time
for sound to traverse the entire mesh
  • For 1-D, need 5 million operations, or 5 sec of
    runtime
  • For 2-D, need 5 billion operations, or 1 hour of
    runtime
  • For 3-D, need 5 trillion operations, or 1 month
    of runtime

15
The first 2-D simulation of an impact (Bjork et
al 1967) proudly displayed the resolution
16
Most modern simulations dont
17
But it is there, and resolution tests for
accuracy should be made for every simulation
18
What test means
  • Is that the result important to you (whether it
    be mass of rock melted, maximum shock pressure,
    speed of ejecta, etc.
  • Must NOT depend on the resolution, r!

19
  • There are two basic types of hydrocode
    simulations, each with its own advantages and
    drawbacks

20
Lagrangian
  • The cells follow the material--the mesh itself
    moves
  • Free surfaces and interfaces are well defined
  • But mesh distortion can end the simulation too
    soon

21
Eulerian
  • Material flows through a static mesh
  • Material interfaces are blurred
  • Cells contain mixtures of material
  • Mesh must be large enough to contain entire time
    evolution

22
Hydrocode modeling stands on two main pillars
23
Equations of State
  • Perfect Gas
  • Stiffened Gas
  • Grüneisen
  • Tillotson
  • ANEOS
  • SESAME
  • ???

24
Constitutive Relations
  • Elasticity
  • Viscosity
  • Strength
  • Fracture mechanics, tensional and compressional
  • Porosity/dilatency
  • How to treat mixed materials in Eulerian
    simulations?

25
The Pacific Craters Problem
  • A thrilling tale of Simulation vs. Observation,
  • Courtesy of DoD turf wars

26
Nuclear testing on Enewetak Atoll in 1958
27
Produced some remarkable craters
28
Broad and Shallow, no simulation succeeded in
modeling them!
29
The Moral
  • Observation, Experiments and Modeling cannot be
    successful by themselves
  • Communication between all three disciplines is
    essential!

30
  • Happy Birthday, Zibbi!
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