Solution of Poisson's equation
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Once the coefficient and source matrix is constructed, the system could be solved with the help of iterative solvers. | Once the coefficient and source matrix is constructed, the system could be solved with the help of iterative solvers. | ||
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| + | <i> Return to [[Numerical methods | Numerical Methods]] </i> | ||
Latest revision as of 10:04, 17 December 2008
Poisson equation occurs in many forms in CFD. Efficient and fast solution to Poisson equation is important aspect of CFD.
In CFD the Poisson equation occurs mainly in the form:
The solution
The left hand side can be discretised in the manner explained in section related to diffusive term . The diffusive term can be broken into two explicit and implicit parts.
We have, 
giving us the expression:
![D_f = \Gamma _f \nabla \phi _f \bullet {\rm{\vec A = }}\Gamma _{\rm{f}} \left[ {\left( {\phi _1 - \phi _0 } \right)\vec \alpha \bullet {\rm{\vec A + }}\bar \nabla \phi \bullet {\rm{\vec A - }}\left( {\bar \nabla \phi \bullet {\rm{d\vec s}}} \right)\vec \alpha \bullet {\rm{\vec A}}} \right]](/W/images/math/7/7/2/772b96059e9032fc07b25c0dee76db6c.png)
where 
and 
are suitable face averages.
When broken into implicit and explicit parts
![D_{implicit} = \Gamma _{\rm{f}} \left[ {\left( {\phi _1 - \phi _0 } \right)\vec \alpha \bullet {\rm{\vec A }} } \right]](/W/images/math/e/b/6/eb6a1eedd86844e3b07754871a790a5e.png)
![D_{explicit} = \Gamma _f \left[ {\bar \nabla \phi \bullet \vec A - \left( {\bar \nabla \phi \bullet d\vec s} \right)\vec \alpha \bullet \vec A} \right]](/W/images/math/d/8/f/d8fe36fb5c721a8e4f2b149de57925fb.png)
This gives us the coefficient of matrix as:
and for source matrix:
![S_U = S_U + q_\phi - D_{explicit} = S_U + q_\phi - \Gamma _f \left[ {\bar \nabla \phi \bullet \vec A - \left( {\bar \nabla \phi \bullet d\vec s} \right)\vec \alpha \bullet \vec A} \right]](/W/images/math/0/7/9/079149afed82462209a7ed984989c7ee.png)
Once the coefficient and source matrix is constructed, the system could be solved with the help of iterative solvers.
Return to Numerical Methods
