General formulation for Electrostatic Problems

From KratosWiki
Revision as of 09:09, 4 November 2009 by JMora (Talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

The Electrostatic Poisson's equation given by the governing PDE and its boundary conditions:


 A(V) = \vec{\nabla} \varepsilon \vec{\nabla} V + \rho_v = 0  ~~ in ~ \Omega


 B(V) = 
\begin{cases} 
  \left . V - \bar V = 0 \right |_{\Gamma_{V}}  & in ~ \Gamma_{\varphi} \\
  \left . \hat n \vec{D} - \bar D_n = 0 \right |_{\Gamma_{q}}  & in ~ \Gamma_{q} \\
  \left . \frac{\partial V}{\partial r} \right |_{\Gamma_{\infty}} \approx - \frac{V}{r} & in ~ \Gamma_{\infty}
\end{cases}


We will apply the residual formulation based on the Weighted Residual Method (WRM).


 
    {
    \int_{\Omega} W(x,y,z) r_{\Omega} \partial \Omega 
    + \oint_{\Gamma} \overline{W}(x,y,z) r_{\Gamma} \partial \Gamma=0
    }


with:

W(x,y,z) \, and \overline{W}(x,y,z) the weighting functions.
\frac{}{} r_{\Omega} = A(\hat V) \ne 0 \quad in \quad \Omega
\frac{}{} r_{\Gamma} = B(\hat V) \ne 0 \quad in \quad \Gamma


Where \hat V \, is the numerical approach of the unknown V \,:


 V (x,y,z) \cong \hat V (x,y,z) = \sum_{i=0}^n N_i (x,y,z) a_i


This is:


 
    {
    \int_{\Omega} W \left [ \nabla^T \mathbf{\varepsilon} \nabla \hat V + \rho_v \right ] \partial\Omega 
    + \oint_{\Gamma} \overline{W} \left [\mathbf{n}^T \mathbf{\varepsilon} \nabla \hat V + \bar \mathbf{q} + \alpha V  \right ] \partial \Gamma=0
    }


with \alpha = \frac{1}{r} the infinit condition factor and \bar \mathbf{q} the field produced whe V \, is fixed by \bar V \,.


The weak form of this expression can be obtained using the integration by parts. In addition, if      \bar W = - W \,:


 
    {
    \int_{\Omega} \nabla^T W^T \mathbf{\varepsilon} \nabla \hat V  \partial \Omega + 
    \oint_{\Gamma_{\infty}} W^T \alpha V \partial \Gamma_{\infty} = 
    \int_{\Omega} W^T \rho_v \partial \Omega -
    \oint_{\Gamma_q} W^T \bar D_n \partial \Gamma_q -
    \oint_{\Gamma_V} W^T \mathbf{q_n} \partial \Gamma_V
    }


Remembering that:


 \hat V (x,y,z) = \sum_{i=0}^n N_i (x,y,z) a_i = \mathbf{N} \mathbf{a}^{(e)}


\nabla \hat V = \nabla \mathbf{N} \mathbf{a}^{(e)} = \mathbf{B} \mathbf{a}^{(e)}


is the gradient potential with:


\mathbf{B}= \left [ \mathbf{B_1, B_2 ... B_n} \right ]


and:


\mathbf{B_i}=
   \begin{bmatrix} 
     \frac{\partial N_i}{\partial x} \\ 
     \, \\
     \frac{\partial N_i}{\partial y} \\ 
     \, \\
     \frac{\partial N_i}{\partial z} 
   \end{bmatrix}


The electric field and electric displacement field can be written as follows:


\mathbf{q} = -  \mathbf{B} \mathbf{a}^{(e)}  \qquad   \mathbf{q'} = - \mathbf{\varepsilon} \mathbf{B} \mathbf{a}^{(e)}


We will now use the Galerkin Method W_i(x) \equiv N_i(x) \,. So, finally, the integral expression ready to create the matricial system of equations is:


 
    {
    \int_{\Omega} \mathbf{B^T} \mathbf{\varepsilon} \mathbf{B} \mathbf{a}  \partial \Omega + 
    \oint_{\Gamma_{\infty}} \mathbf{N^T} \alpha \mathbf{N} \mathbf{a} \partial \Gamma_{\infty} = 
    \int_{\Omega} \mathbf{N^T} \rho_v \partial \Omega -
    \oint_{\Gamma_q} \mathbf{N^T} \bar D_n \partial \Gamma_q -
    \oint_{\Gamma_V} \mathbf{n^T} \mathbf{N^T} \mathbf{q_n} \partial \Gamma_V
    }


\mathbf{K} \mathbf{a} \,= \mathbf{f}


Note that K is a coefficients matrix that depends on the geometrical and physical properties of the problem, a is the vector with the n unknowns to be obtained and f is a vector that depends on the source values and boundary conditions.


\mathbf{K}^{(e)}=
    \int_{\Omega^{(e)}} \mathbf{B^T} \mathbf{\varepsilon} \mathbf{B}  \partial \Omega^{(e)} + 
    \oint_{\Gamma_{\infty}^{(e)}} \mathbf{N^T} \alpha \mathbf{N} \partial \Gamma_{\infty}^{(e)}
\mathbf{f}^{(e)}=
    \int_{\Omega^{(e)}} \mathbf{N^T} \rho_v \partial \Omega^{(e)} -
    \oint_{\Gamma_q^{(e)}} \mathbf{N^T} \bar D_n \partial \Gamma_q^{(e)} -
    \oint_{\Gamma_V^{(e)}} \mathbf{n^T} \mathbf{N^T} \mathbf{q_n} \partial \Gamma_V^{(e)}
Personal tools
Categories