Lecture 16: Convection and Diffusion (Cont - PowerPoint PPT Presentation

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Lecture 16: Convection and Diffusion (Cont

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Title: Lecture 16: Convection and Diffusion (Cont


1
Lecture 16 Convection and Diffusion (Contd)
2
Last Time
  • We
  • Looked at CDS/UDS schemes to unstructured meshes
  • Look at accuracy of CDS and UDS schemes
  • Look at false diffusion in UDS using model
    equation

3
This Time
  • We will use model equation to look at behavior of
    CDS scheme
  • Look at some first-order schemes based on exact
    solutions to the convection-diffusion equation
  • Exponential scheme
  • Hybrid scheme
  • Power-law scheme

4
CDS Model Equations
  • Pure convection equation
  • Apply CDS
  • Expand in Taylor series

Do same type of expansion in y direction
5
Model Equation (Contd)
  • Subtract to obtain
  • Do same in y direction
  • Substitute into discrete equation

Dispersion Term
6
Discussion
  • Model equation for CDS has extra third-derivative
    (dispersive) term
  • This type of odd-derivative term tends to cause
    spatial wiggles
  • Note that truncation error for CDS is O( ?x2 )
  • Thus, UDS is dissipative and CDS is dispersive

7
First-Order Schemes Based on Exact Solutions
  • 1D Convection-diffusion equation

-Pe
?
Pe0
Pe
x
What are the limits of this equation for
different Pe?
8
Exponential Scheme
  • Use 1-D exact solution as profile assumption in
    doing discretization
  • Consider convection-diffusion equation
  • Integrate over control volume

9
Exponential Scheme (Contd)
  • Area vectors
  • FluxArea
  • Use exact solution to write convection and
    diffusion terms

10
Exponential Scheme Discrete Equations
  • Both convection and diffusion terms estimated
    from exact solution
  • If S0, we would get the exact solution in 1D
    problems
  • But obviously not exact for non-zero S,
    multi-dimensional problems
  • Discretization has boundedness, diagonal
    dominance
  • Only first-order accurate

11
Approximations to Exponential Scheme
  • Exponentials are expensive to compute
  • Approximations to the exponential profile
    assumption have been used to offset the cost.
  • Hybrid difference scheme
  • Power-law scheme
  • Both these approximations are also only
    first-order accurate

12
Hybrid Difference Scheme
  • Consider the aE coefficient in exponential scheme
  • Limits with respect to Pe

13
Hybrid Difference Scheme (Contd)
  • Instead of using the exact curve for aE/De, use
    three tangents
  • Similar manipulation for other coefficients

14
Hybrid Difference Scheme (Contd)
  • Guaranteed bounded solutions
  • Satisfies Scarborough criterion
  • O(?x) accurate

15
Power-Law Scheme
  • Employs fifth-order polynomial approximation to
  • Similar approach to other coefficients
  • Scheme is bounded and satisfies the Scarborough
    criterion
  • Is O(?x) accurate

16
Multi-Dimensional Schemes
  • Exact solutions have been used as profile
    assumptions in multi-dimensional situations
  • Control volume-based finite element method of
    Baliga and Patankar (1983)
  • This form is the solution to
  • the 2D convection-diffusion equation

17
Multi-Dimensional Schemes
  • Finite analytic scheme (Chen and Li, 1979)
  • Write 2D convection diffusion equation with
    source term for element
  • Fix coefficient using (i,j) values
  • Find analytical solution using separation of
    variables
  • Use exact solution for profiles assumptions

18
Closure
  • In this lecture, we
  • Looked at the model equation for CDS
  • Shown dispersive nature of model equation
  • Looked at differencing schemes based on exact
    solution to 1D convection-diffusion equation
  • Looked at schemes which are approximations to the
    exponential scheme
  • Looked at multidimensional schemes based on exact
    solutions
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