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Hydro and other key algorithms and A few issuestricks of the trade

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Title: Hydro and other key algorithms and A few issuestricks of the trade


1
Hydro and other key algorithmsandA few
issues/tricks of the trade
  • Alan Calder

May 13, 2004
2
What I do and will try to answer questions about
  • Basic physics
  • fluid instabilities (Rayleigh-Taylor)
  • radiation transport
  • Astrophysics
  • Novae 2-d models of breaking gravity waves (a
    model for envelope enrichment)
  • Type Ia supernovae hydrostatic equilibrium,
    hydrodynamics, self-gravity, reactive flow.

3
Euler Equations
4
Internal Energy Advection
5
Multiple Species
6
Hydrodynamics Modules
7
Finite Volume Hydrodynamics Method (PPM)
  • Divide the domain into zones that interact with
    fluxes

8
Fluxes at jumps in mesh refinement
9
Riemann Problem Shock Tube
  • Initial conditions a discontinuity in density
    and pressure

10
Riemann Problem Shock Tube
  • World diagram for Riemann problem

11
Riemann Problem Shock Tube
  • PPM has special algorithms for these features

12
Verification Test Sod Shock Tube
  • Demonstrates expected 1st order convergence of
    error

13
Verification Test Isentropic Vortex
  • Demonstrates expected 2nd order convergence of
    error

14
Sod Tube W/ AMR
  • Demonstrates expected 1st order convergence of
    error, but

15
Riemann Problem Convex EOS
16
New Validation Results Vortex-dominated Flows
  • Cylinder of SF6 hit by Mach 1.2 shock

LANL
17
Shocked Cylinder Experiment
  • Snapshots at 50, 190, 330, 470, 610, 750 ms

18
New Validation Results Vortex-dominated Flows
  • Visualization magic from ANL Futures Lab

19
Shocked Cylinder Simulations
20
4 shock problem
21
4 contact problem
22
Three-layer Target Simulation
  • Movie

23
Three-layer Target Simulation
  • Comparison to Experiment

24
Three-layer Target Simulation
  • Convergence results percent difference

25
Single-mode 3-d Rayleigh-Taylor
  • Density (g/cc)

4
8
16
32
64
128
256
t 3.1 sec
26
Fluid Instabilities in Astrophysics
STScI
  • Observations of astrophysical phenomena, e.g.
    56Co in SN 1987A, indicate that fluid
    instabilities can play an important role

27
Summary/Conclusions
  • Numerical diffusion is a resolution-dependent
    effect that can significantly alter results.
  • Care must be taken when adding physics to hydro
    (e.g. convex EOS)
  • AMR is tricky.
  • Need right balance between computational savings
    and accuracy of solution.
  • Refinement criteria are problem-dependent and can
    affect the results of simulations.

28
Bibliography
  • T. F. M.
  • Fryxell et al., ApJS, 131 273 (2000)
  • Calder et al., in Proc. Supercomputing 2000,
    sc2000.org/proceedings
  • Calder et al., ApJS, 143 201
  • Dwarkadas et al. astro-ph/0403109
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