Title: Computational Fluid Dynamics 5 Solution Behaviour
1Computational Fluid Dynamics 5Solution Behaviour
- Professor William J Easson
- School of Engineering and Electronics
- The University of Edinburgh
2Flow 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
3Vectors shear stress x1x25H
4x110H, x210H 15H
5Shear Stressx110H, x210H 15H
6Shear stress for x210H,15H
7Things 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
8Solution behaviour
- Anderson Ch3
- Versteeg Malalasekera Ch2
9Types 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
10General quasi-linear PDE(not the NS equations)
Define a vector equation from the above
simultaneous equations
11Equation 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
12Why 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
13Classification of NS
- General NS equations are of mixed class
14Example 3D incompressible flow through a
constriction at Re1000
steady elliptic unsteady - parabolic
Not well-posed
well-posed
15Well-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
16Examples 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