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RayleighTaylor Instability

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Title: RayleighTaylor Instability


1
Rayleigh-Taylor Instability
Collaborators Vasily Zhakhovskii, M.
Horikoshi, K. Nishihara, Sergei Anisimov
2
Motivation
There are several phenomena that influence the
RTI and RMI. They include viscosity, thermal
conduction, thermodynamic non-ideality, surface
tension, etc. Usual hydrodynamic approach does
not take into account these effects.
Quantitative comparison with experiment
requires a different approach. One such example
provides the method of molecular dynamics.
3
Molecular Dynamics approach
  • MD method is based on tracking of the atom
    motions by means of
  • numerical solving Newtons equations
  • MD method has great advantages over hydrodynamic
    methods
  • Spatial mesh is not needed more
  • EOS is not needed more
  • The system under investigation can be far from
    local thermodynamic equilibrium
  • Viscosity, heat conduction, surface tension are
    taken into account automatically
  • Conservation laws are satisfied automatically
  • MD method has the disadvantages (huge
    computational time)
  • the total number of atoms
  • so the system size 10TFLOPS)

4
Molecular Dynamics Simulation Technique
z
Lennard-Jones pair potential
  • Potential
  • barrier as
  • piston

L J atoms
Fij
-X
X
gravity
  • Periodical boundary conditions are
  • imposed on the system along z-axis
  • The atoms interact via Lennard-Jones (L-J) pair
    potential
  • with cutoff at rc
  • The piston is simulated by an external potential
    xi -X( fi )2

5
Initial Condition
  • Density Ratio 21 (Atwood Number A 1/3)
  • Number of Atom 12 millions (8 millions of light
    atoms)
  • Gravity 1011 cm/sec2
  • Initial Amplitude 0.06? Single Mode
  • Space Size 1274 s 858 s 13.4 s
  • Pressure profile variable
  • Computational Resource Pentium?-S 1.4GHz 80
    (112GFLOPS)
  • Computational Time Almost 2 weeks

6
Parallel Computing for load balancing.Dynamically
Re-distributed.
Actually atoms information was re-distributed.
Time Evolution
7
Time Evolution of Interface.Density profile.
heavy atoms
light atoms
?
Each pixel represents a small domain, which is
occupied approximately 50 atoms
8
Good Agreement with Theoretical Growthat linear
stage.
hExp(?t) where ?sqrt(AKg) L. Rayleigh (1900),
S.G. Taylor (1950)
9
The thickness of mixed layer
10
Conclusion
  • We have developed the MD simulation code for RT
    instability.
  • Parallelization for good load balancing by using
    re-distribution
  • Simulation results agree with theoretical
    prediction.
  • In the future
  • More late time simulation (e.g., nonlinear
    regime)
  • Making fully use of MD advantages (e.g.,
    analysis around singularity)
  • New initial condition Hydro code does NOT
    detail

11
Interface evolution bydifferent hydro Schemes
Appendix
LL
CFLFh
JT
CLAW
WAFT
WENO
PPM
VH1
Ref http//www-troja.fjfi.cvut.cz/liska/CompareE
uler/compare8/
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