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Computations of Fluid Dynamics using the Interface Tracking Method

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Title: Computations of Fluid Dynamics using the Interface Tracking Method


1
Computations of Fluid Dynamics using the
Interface Tracking Method
  • Zhiliang Xu
  • Email zxu2_at_nd.edu
  • Department of Mathematics
  • University of Notre Dame

2
Outline
  • Computational Fluid Dynamics
  • Compressible incompressible flows
  • Governing equations
  • Numerical methodology
  • Front Tracking Method
  • Formulation
  • Improving the accuracy
  • Conclusions and Future Plans

3
Compressible Incompressible Flows
  • Approximations Governing equations
  • Continuum assumption
  • The fundamental laws (basis) Conservation
  • Thermo-dynamical equation of state (EOS) e.g.
    PVRT
  • Compressibility
  • Mach number M v/c
  • M gt 0.3 compressible flow
  • Compressible, inviscid flow Euler equations
  • Incompressible viscous flow Incompressible
    Navier-Stokes equations
  • No turbulence modeling

4
Nonlinear Hyperbolic Conservation Laws
Euler equations (Gas dynamics)
Equation of state
Scalar examples (Traffic flow) (Burgers
equation)
5
Scalar Conservation Laws
f Flux function
Conservation equation
C0const. gt 0
Linear Advection Equation
Solution
u(x,t)
u(x,0)
6
Nonlinear Scalar Equation
with
where
Along a characteristic curve which has slope
The total derivative
is const. along this curve.
(x,t)
Along this line, u u0(x0)
Solve
for
7
Breakup of Continuous Solution
Assume
Characteristics for nonlinear equations
Characteristics cross, the wave breaks.
Breaking solution successive profiles
corresponding to the times 0, t1, tB, t3
u(x,0)
8
Weak Solutions
Weak solutions
Jump Condition
(Rankine-Hugoniot Condition)
9
(Lax) Entropy Condition Shock
To pick physically relevant solutions.
Shock A discontinuity that satisfies the jump
condition and the entropy condition.
Riemann Problem (Scalar Case)
Init. value problem with piecewise const. data
Admit Similarity solution
10
Riemann Solution (Scalar Case)
Case 1 Const. State
Shock speed s
Case 2 Shock wave
Rarefaction wave
Case 3 Rarefaction wave
t
11
Numerical Computation
  • Milestones
  • Computing discontinuous solutions by Peter Lax
    (1950s) (Lax-Friedrichs scheme, Lax-Wendroff
    scheme) (SIAM Reviews Vol. 11, No. 1. 1969)
  • Godunovs scheme, upwind schemes
  • High order schemes TVD, MUSCL, PPM, ENO, WENO,
    etc
  • Interior or Free Boundary Tracking
  • 1D, 2D interface tracking by Richtmyer and Morton
    (1960s)
  • Front tracking by Glimm, McBryan etc. (1980s)
  • Others (level set, VOF, etc.)

12
Numerical Solution Finite Volume Method
Space-time Volume
Xi Cell Center
Xi1/2 Cell edge
Space-time Boundary of the Volume
1D Finite Volume Scheme
(Cell average value).
Average of exact flux
Numerical Flux
13
Computing Discontinuous Solutions
Conservation
Single valued flux on each cell edge
(,Xi1/2,).
with
Consistency
The Entropy Condition
The CFL condition
14
Computing Discontinuous Solutions
Examples
Godunovs Method (1959)
Semi-Discrete Method
Spatial ENO/WENO reconstruction
Temporal direction TVD Runge-Kutta
15
Dynamic Interface Tracking
Rayleigh-Taylor Mixing
16
The Level Set Method
Level Set
Interface
17
Discrete Representation of Tracking
Volume filling rectangular mesh (Eulerian Coord.)
(N-1) dimensional Lagrangian mesh (interface)
(i,j)
A 3D Interface
A 2D Representation
Front Tracking Hybrid method, 2 meshes.
18
Time Marching Coupling
Advancing solution in 1D
To advance the numerical solution in Front
Tracking (1) Explicit procedure for interface
propagation (2) Updating states (grid cell
center)
  • Two way coupling
  • Interface dynamics to ambient region (interior).
  • Non-interface solution variation to interface
    dynamics.

19
Separation of Interface Propagation
  • Operator Splitting to separate normal and
    tangential propagation
  • Normal propagation to move interface position
    coupling
  • Tangent propagation to include information
    flowing tangentially along the curve.

20
Normal Propagation of Interface Point
Move the point position and couple the interior
wave solution to interface dynamics.
Step 1
Step 2
Updated left and right states of the point
Left and right states of the point
Riemann solution
Method of characteristics (Coupling)
21
Advancing Eulerian Grid Solution
  • Ghost cell method Coupling interface dynamics to
    interior

Fluid 1
Fluid 2
Interface
Cell edge
22
Conservative Front Tracking - Formulation
Space-time volume
V
Space-time interface
Xi
Xi1
Xi1/2
A moving discontinuity surface bounds a
time-dependent volume V.
Redefine the flux through the discontinuity by
R-H condition.
23
2D Space-Time Volumes
Top face
Space-time hexahedron
24
Improved Accuracy
Theorem The conservative tracking method
improves accuracy by at least one order.
25
1D Numerical Validation
Init. Condition Shock-Rarefaction
26
2D Axisymmetric Richtmyer-Meshkov Instability
Light gas
Heavy gas
Material interface
Shock wave
Init. Condition (Density Plot)
Conservative tracking simulation
Non-conservative tracking simulation
27
2D Axisymmetric Richtmyer-Meshkov Instability
Conservative Tracking, 100200 grid
Non-Conservative Tracking, 100200
grid Non-Conservative Tracking, 200400 grid
Amplitude (a) the height of the interface
perturbation.
h_sp and h_bb are distances from origin to the
tips of the spike and the bubble respectively.
28
Computations of Incompressible Flows
What is the role of the pressure?
Hodge Decomposition ? Projection Methods
29
Projection Method
  • Advancing the momentum equation in time to
    determine an intermediate velocity which is not
    required to be divergence-free.
  • Project the intermediate velocity field onto the
    space of divergence-free field. The gradient part
    is used to update the pressure.

The Numerical Method
Advancing the front
Advancing materiel properties
30
The Numerical Method
Compute the intermediate velocity
Projection
Surface tension
31
The Blood Flow Modelling
32
Conclusions Future Plans
  • The front tracking method to describe the
    interface.
  • On the tracking method
  • To achieve uniform high order accuracy.
  • On the application
  • To develop a blood flow model in the multiscale
    context
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