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Computational Fluid Dynamics 5 Solution Behaviour

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Parabolas, Hyperbolas and Ellipses - reminder. Same class of curves. Can be cut' from a cone ... Parabola. Ellipse. General quasi-linear PDE (not the NS equations) ... – PowerPoint PPT presentation

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Title: Computational Fluid Dynamics 5 Solution Behaviour


1
Computational Fluid Dynamics 5Solution Behaviour
  • Professor William J Easson
  • School of Engineering and Electronics
  • The University of Edinburgh

2
Flow over a backward-facing step
  • Flow expands and leaves a recirculating vortex
    behind the step
  • Solve to 2nd order and maintain laminar flow
  • How long does the domain have to be to ensure
    that the solution is valid
  • Upstream?
  • Downstream?
  • Hint Try x12H, 5H, 10H x25H, 10H, 15H

2H
x1
H
x2
Re 500, ? 10-6, H25mm, u0.01ms-1
3
Vectors shear stress x1x25H
4
x110H, x210H 15H
5
Shear Stressx110H, x210H 15H
6
Shear stress for x210H,15H
7
Things you can do
  • Create simple geometries in Star-Design
  • Produce meshes of different densities and of
    varying density (by changing the parameters
    before meshing)
  • Solve for laminar flow in a 2D channel
  • Present the output in a variety of formats
  • Solve for 2D laminar jets
  • Solve for 2D flows with wall attachment
  • Solve to 1st 2nd order simulations (check this)
  • Test the appropriateness of your mesh density
    (check)
  • Test the appropriateness of the extent of your
    domain

8
Solution behaviour
  • Anderson Ch3
  • Versteeg Malalasekera Ch2

9
Types of equation
  • Parabolas, Hyperbolas and Ellipses - reminder
  • Same class of curves
  • Can be cut from a cone
  • General equation
  • Used in definition of equation types

Hyperbola
Parabola
Ellipse
10
General quasi-linear PDE(not the NS equations)
Define a vector equation from the above
simultaneous equations
11
Equation types
Define
The solution of this set of equations has been
reduced to a simple matrix equation that has a
key matrix N.
If the eigenvalues of N are real, the equation
is hyperbolic
complex elliptic zero parabolic
12
Why does this matter?
  • Each equation type has a different mathematical
    behaviour
  • Mathematical behaviour is related to physical
    behaviour
  • Physical behaviour should be taken into account
    when posing the problem
  • Hyperbolic and parabolic equations lend
    themselves to marching solutions and are
    generally more stable to solve
  • Marching can be in space or in time
  • Elliptic equations must be solved everywhere at
    once and are generally more difficult to solve

13
Classification of NS
  • General NS equations are of mixed class

14
Example 3D incompressible flow through a
constriction at Re1000
steady elliptic unsteady - parabolic
Not well-posed
well-posed
15
Well-posed problem
  • If there exists a unique solution which depends
    continuously on the boundary conditions, the
    problem is well-posed
  • In the above example the steady-state problem was
    not well-posed, so an unsteady simulation was
    performed which was well-posed

16
Examples for this week
  • Flow through a 3D pipe at Re 107, 106 105 104
    103
  • Can you deduce the friction factors?
  • What is the effect of increasing surface
    roughness at 107?
  • Force on a cylinder in a steady turbulent flow
    (can be done in 2D)
  • What is the drag coefficient?
  • Consider the grid design and domain carefully
  • Allow the walls of your virtual water/wind tunnel
    to slip
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