Variational Reconstruction

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Reconstruction from mean values with piecewise zero-mean basis:

\[ u_i(\mathbf{x}) =\overline{u}_i +\sum_{l=1}^{N_{base}}{ u^l_i\varphi^l_i(\mathbf{x})} \]

Functional Design:

For face \(f\) with cell on both sides \(L,R\), reconstruction functional on the face is designed as:

\[ I_f=w_g(f)\int_f{d\Gamma \sum_{p=0}^k {w_d(p)^2 \left\| \mathcal{D}_pu_L -\mathcal{D}_pu_R \right\|_{\langle\rangle _{f,p}}^2}} \]

where

  • \(w_g\) is Geometric Weight, which could well be dimensioned. An original choice is to use \(w_g=S_f^{-1}\), where \(S_f\) is area of \(f\).

  • \(w_d\) is Derivative Weight, which is defined to be dimensionless here.

  • \(\mathcal{D}_p u\) is a tensor-like (covariance only in linear transformation of space from , no curvilinear) variable representing the derivatives of \(u\) , for example, the Cartesian components: $\( [\mathcal{D}_3 u]_{ijk} \equiv [u]_{x_jx_jx_k} \equiv \frac{\partial^3u}{ \partial x_i \partial x_j\partial x_k} \)$

  • \(\left\|\cdot\right\|_{\langle\rangle _{f,p}}^2\) is defined with $\( \left\|A\right\|_{\langle\rangle _{f,p}}^2 =\langle A,A \rangle _{f,p} \)\( where \)A\( is a tensor of p_th order. The \)\langle,\rangle$ is a inner product.

Selecting Inner Product

The Normal Functional from Wang:

\[ \langle \mathcal{D}_3 u,\mathcal{D}_3 v\rangle _{f,3} =d_f^6 \partial_{nnn}u \partial_{nnn}v \]

X-Y aligned from Pan:

\[\begin{split} \begin{aligned} \langle \mathcal{D}_3 u,\mathcal{D}_3 v\rangle _{f,3} &=(\Delta_x^3 \partial_{xxx} u) (\Delta_x^3 \partial_{xxx} v)\\ &+(3\Delta_x^2\Delta_y \partial_{xxy} u) (3\Delta_x^2\Delta_y \partial_{xxy} v)\\ &+(3\Delta_x\Delta_y^2 \partial_{xyy} u) (3\Delta_x\Delta_y^2 \partial_{xyy} v)\\ &+(\Delta_y^3 \partial_{yyy} u) (\Delta_y^3 \partial_{yyy} v)\\ \end{aligned} \end{split}\]

Pre-Isotropic from Huang:

\[\begin{split} \begin{aligned} \langle \mathcal{D}_3 u,\mathcal{D}_3 v\rangle _{f,3} &=(d_f^3 \partial_{xxx} u) (d_f^3 \partial_{xxx} v)\\ &+(d_f^3 \partial_{xxy} u) (d_f^3 \partial_{xxy} v)\\ &+(d_f^3 \partial_{xyy} u) (d_f^3 \partial_{xyy} v)\\ &+(d_f^3 \partial_{yyy} u) (d_f^3 \partial_{yyy} v)\\ \end{aligned} \end{split}\]

Other Forms

Could be re-written to:

\[ I_f=w_g(f)\int_f{d\Gamma \sum_{p=0}^k { w_d(p)^2 L_f^{2p} \left\| \mathcal{D}_pu_L -\mathcal{D}_pu_R \right\|_{\langle\rangle _{f,p}}^2 } } \]
  • \(L_f\) is a facial length reference, all the anisotropy within derivative components are dealt in the inner product with a relative (dimensionless form). Output of inner product becomes dimensional.

Reconstruction Matrices

\[\begin{split} \begin{aligned} A_{mn}^i & = \sum_{j\in S_i} { w_g(f_{i-j}) \int_{f_{i-j}}{\sum_{p=0}^k{ w_d(p)^2 \left\langle{\mathcal{D}_p(\varphi^m_i),\mathcal{D}_p(\varphi^n_i)}\right\rangle_{f_{i-j},p} } d\Gamma}} \\ B_{mn}^{i-j} & = { w_g(f_{i-j}) \int_{f_{i-j}}{\sum_{p=0}^k{ w_d(p)^2 \left\langle{\mathcal{D}_p(\varphi^m_i),\mathcal{D}_p(\varphi^n_j)}\right\rangle_{f_{i-j},p} } d\Gamma}} \\ b_{m}^{i-j} & = { w_g(f_{i-j}) \int_{f_{i-j}}{{ w_d(0)^2 \left\langle{\varphi^m_i,1}\right\rangle_{f_{i-j},p} } d\Gamma}} \end{aligned} \end{split}\]

with the reconstruction system in local form:

\[ A_{mn}^i u_i^n = \sum_{j\in S_i}{ \left(B_{mn}^{i-j} u_j^n +b_{m}^{i-j}(\overline{u}_j - \overline{u}_i) \right)} \]