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18.3.1 Spatial Discretization

By default, ANSYS FLUENT stores discrete values of the scalar $\phi$ at the cell centers ( $c_0$ and $c_1$ in Figure  18.2.1). However, face values $\phi_f$ are required for the convection terms in Equation  18.2-2 and must be interpolated from the cell center values. This is accomplished using an upwind scheme.

Upwinding means that the face value $\phi_f$ is derived from quantities in the cell upstream, or "upwind,'' relative to the direction of the normal velocity $v_n$ in Equation  18.2-2. ANSYS FLUENT allows you to choose from several upwind schemes: first-order upwind, second-order upwind, power law, and QUICK. These schemes are described in Sections  18.3.1- 18.3.1.

The diffusion terms in Equation  18.2-2 are central-differenced and are always second-order accurate.

For information on how to use the various spatial discretization schemes, see this section in the separate User's Guide.



First-Order Upwind Scheme


When first-order accuracy is desired, quantities at cell faces are determined by assuming that the cell-center values of any field variable represent a cell-average value and hold throughout the entire cell; the face quantities are identical to the cell quantities. Thus when first-order upwinding is selected, the face value $\phi_f$ is set equal to the cell-center value of $\phi$ in the upstream cell.

figure   

First-order upwind is available in the pressure-based and density-based solvers.



Power-Law Scheme


The power-law discretization scheme interpolates the face value of a variable, $\phi$, using the exact solution to a one-dimensional convection-diffusion equation


 \frac{\partial}{\partial x} (\rho u \phi) = \frac{\partial}{\partial x} {\Gamma} \frac{\partial \phi}{\partial x} (18.3-1)

where ${\Gamma}$ and $\rho u$ are constant across the interval $\partial x$. Equation  18.3-1 can be integrated to yield the following solution describing how $\phi$ varies with $x$:


 \frac{\phi (x) - \phi_0}{\phi_L - \phi_0} = \frac{\exp ({\rm Pe} \frac{x}{L}) -1}{\exp ({\rm Pe}) -1} (18.3-2)

where


$\phi_0$ = $\phi\vert _{x=0}$
$\phi_L$ = $\phi\vert _{x=L}$

and Pe is the Peclet number:


 {\rm Pe} = \frac{\rho u L}{{\Gamma}} (18.3-3)

The variation of $\phi(x)$ between $x=0$ and $x=L$ is depicted in Figure  18.3.1 for a range of values of the Peclet number. Figure  18.3.1 shows that for large Pe, the value of $\phi$ at $x=L/2$ is approximately equal to the upstream value. This implies that when the flow is dominated by convection, interpolation can be accomplished by simply letting the face value of a variable be set equal to its "upwind'' or upstream value. This is the standard first-order scheme for ANSYS FLUENT.

Figure 18.3.1: Variation of a Variable $\phi$ Between $x=0$ and $x=L$ (Equation  18.3-1)
figure

If the power-law scheme is selected, ANSYS FLUENT uses Equation  18.3-2 in an equivalent "power law'' format [ 264], as its interpolation scheme.

As discussed in Section  18.3.1, Figure  18.3.1 shows that for large Pe, the value of $\phi$ at $x=L/2$ is approximately equal to the upstream value. When Pe=0 (no flow, or pure diffusion), Figure  18.3.1 shows that $\phi$ may be interpolated using a simple linear average between the values at $x=0$ and $x=L$. When the Peclet number has an intermediate value, the interpolated value for $\phi$ at $x=L/2$ must be derived by applying the "power law'' equivalent of Equation  18.3-2.

figure   

The power-law scheme is available in the pressure-based solver and when solving additional scalar equations in the density-based solver.



Second-Order Upwind Scheme


When second-order accuracy is desired, quantities at cell faces are computed using a multidimensional linear reconstruction approach [ 14]. In this approach, higher-order accuracy is achieved at cell faces through a Taylor series expansion of the cell-centered solution about the cell centroid. Thus when second-order upwinding is selected, the face value $\phi_f$ is computed using the following expression:


 \phi_{f,SOU} = \phi + \nabla \phi \cdot {\vec r} (18.3-4)

where $\phi$ and $\nabla \phi$ are the cell-centered value and its gradient in the upstream cell, and $ {\vec r}$ is the displacement vector from the upstream cell centroid to the face centroid. This formulation requires the determination of the gradient $\nabla \phi$ in each cell, as discussed in Section  18.3.3. Finally, the gradient $\nabla \phi$ is limited so that no new maxima or minima are introduced.

figure   

Second-order upwind is available in the pressure-based and density-based solvers.



First-to-Higher Order Blending


In some instances, and at certain flow conditions, a converged solution to steady-state may not be possible with the use of higher-order discretization schemes due to local flow fluctuations (physical or numerical). On the other hand, a converged solution for the same flow conditions maybe possible with a first-order discretization scheme. For this type of flow and situation, if a better than first-order accurate solution is desired, then first-to-higher-order blending can be used to obtain a converged steady-state solution.

The first-order to higher-order blending is applicable only when higher-order discretization is used. It is applicable with the following discretization schemes: second-order upwinding, central-differencing schemes, QUICK, and third-order MUSCL. The blending is not applicable to first-order, power-law, modified HRIC schemes, or the Geo-reconstruct and CICSAM schemes.

In the density-based solver, the blending is applied as a scaling factor to the reconstruction gradients. While in the pressure-based solver, the blending is applied to the higher-order terms for the convective transport variable.

To learn how to apply this option, refer to this section in the separate User's Guide.



Central-Differencing Scheme


A second-order-accurate central-differencing discretization scheme is available for the momentum equations when you are using the LES turbulence model. This scheme provides improved accuracy for LES calculations.

The central-differencing scheme calculates the face value for a variable ( $\phi_f$) as follows:


 \phi_{f,{\rm CD}} = \frac{1}{2} \left(\phi_0 + \phi_1 \right... ..._{0} \cdot \vec{r}_0 + \nabla \phi_{1} \cdot \vec{r}_1 \right) (18.3-5)

where the indices 0 and 1 refer to the cells that share face $f$, $\nabla \phi_{r,0}$ and $\nabla \phi_{r,1}$ are the reconstructed gradients at cells 0 and 1, respectively, and $\vec{r}$ is the vector directed from the cell centroid toward the face centroid.

It is well known that central-differencing schemes can produce unbounded solutions and non-physical wiggles, which can lead to stability problems for the numerical procedure. These stability problems can often be avoided if a deferred approach is used for the central-differencing scheme. In this approach, the face value is calculated as follows:


$\displaystyle \phi_f = \underbrace{\phi_{f,{\rm UP}}}_{\mbox{implicit part}} + ... ...\; \underbrace{(\phi_{f,{\rm CD}} - \phi_{f,{\rm UP}})}_{\mbox{explicit part}}$     (18.3-6)

where UP stands for upwind. As indicated, the upwind part is treated implicitly while the difference between the central-difference and upwind values is treated explicitly. Provided that the numerical solution converges, this approach leads to pure second-order differencing.

figure   

The central differencing scheme is available only in the pressure-based solver.



Bounded Central Differencing Scheme


The central differencing scheme described in Section  18.3.1 is an ideal choice for LES in view of its meritoriously low numerical diffusion. However, it often leads to unphysical oscillations in the solution fields. In LES, the situation is exacerbated by usually very low subgrid-scale turbulent diffusivity. The bounded central differencing scheme is essentially based on the normalized variable diagram (NVD) approach [ 187] together with the convection boundedness criterion (CBC). The bounded central differencing scheme is a composite NVD-scheme that consists of a pure central differencing, a blended scheme of the central differencing and the second-order upwind scheme, and the first-order upwind scheme. It should be noted that the first-order scheme is used only when the CBC is violated.

figure   

The bounded central differencing scheme is the default convection scheme for LES. When you select LES, the convection discretization schemes for all transport equations are automatically switched to the bounded central differencing scheme.

figure   

The bounded central differencing scheme is available only in the pressure-based solver.



QUICK Scheme


For quadrilateral and hexahedral meshes, where unique upstream and downstream faces and cells can be identified, ANSYS FLUENT also provides the QUICK scheme for computing a higher-order value of the convected variable $\phi$ at a face. QUICK-type schemes [ 188] are based on a weighted average of second-order-upwind and central interpolations of the variable. For the face $e$ in Figure  18.3.2, if the flow is from left to right, such a value can be written as


 \phi_e = \theta\left[{S_d \over S_c + S_d} \phi_P + {S_c \o... ...\over S_u + S_c} \phi_P - {S_c \over S_u + S_c} \phi_W\right] (18.3-7)

Figure 18.3.2: One-Dimensional Control Volume
figure

$\theta=1$ in the above equation results in a central second-order interpolation while $\theta=0$ yields a second-order upwind value. The traditional QUICK scheme is obtained by setting $\theta = {1/8}$. The implementation in ANSYS FLUENT uses a variable, solution-dependent value of $\theta$, chosen so as to avoid introducing new solution extrema.

The QUICK scheme will typically be more accurate on structured meshes aligned with the flow direction. Note that ANSYS FLUENT allows the use of the QUICK scheme for unstructured or hybrid meshes as well; in such cases the usual second-order upwind discretization scheme (described in Section  18.3.1) will be used at the faces of non-hexahedral (or non-quadrilateral, in 2D) cells. The second-order upwind scheme will also be used at partition boundaries when the parallel solver is used.

figure   

The QUICK scheme is available in the pressure-based solver and when solving additional scalar equations in the density-based solver.



Third-Order MUSCL Scheme


This third-order convection scheme was conceived from the original MUSCL (Monotone Upstream-Centered Schemes for Conservation Laws) [ 352] by blending a central differencing scheme and second-order upwind scheme as


 \phi_{f} = \theta {\phi_{f,{\rm CD}}} + (1-\theta) \phi_{f,{\rm SOU}} (18.3-8)

where ${\phi_{f,{\rm CD}}}$ is defined in Equation  18.3-5, and $\phi_{f,{\rm SOU}}$ is computed using the second-order upwind scheme as described in Section  18.3.1.

Unlike the QUICK scheme which is applicable to structured hex meshes only, the MUSCL scheme is applicable to arbitrary meshes. Compared to the second-order upwind scheme, the third-order MUSCL has a potential to improve spatial accuracy for all types of meshes by reducing numerical diffusion, most significantly for complex three-dimensional flows, and it is available for all transport equations.

figure   

The third-order MUSCL currently implemented in ANSYS FLUENT does not contain any flux-limiter. As a result, it can produce undershoots and overshoots when the flow-field under consideration has discontinuities such as shock waves.

figure   

The MUSCL scheme is available in the pressure-based and density-based solvers.



Modified HRIC Scheme


For simulations using the VOF multiphase model, upwind schemes are generally unsuitable for interface tracking because of their overly diffusive nature. Central differencing schemes, while generally able to retain the sharpness of the interface, are unbounded and often give unphysical results. In order to overcome these deficiencies, ANSYS FLUENT uses a modified version of the High Resolution Interface Capturing (HRIC) scheme. The modified HRIC scheme is a composite NVD scheme that consists of a non-linear blend of upwind and downwind differencing [ 243].

First, the normalized cell value of volume fraction, $\tilde{\phi_c}$, is computed and is used to find the normalized face value, $\tilde{\phi}_f$, as follows:


 \tilde{\phi_c} = \frac{\phi_D - \phi_U}{\phi_A - \phi_U} (18.3-9)

Figure 18.3.3: Cell Representation for Modified HRIC Scheme
figure

where $A$ is the acceptor cell, $D$ is the donor cell, and $U$ is the upwind cell, and


 \tilde{\phi}_f = \left\{ \begin{array}{ll} \tilde{\phi_c} & ... ... 1 & \mbox{$0.5 \leq \tilde{\phi_c} \le 1$} \end{array}\right. (18.3-10)

Here, if the upwind cell is not available (e.g., unstructured mesh), an extrapolated value is used for $\phi_U$. Directly using this value of $\tilde{\phi}_f$ causes wrinkles in the interface, if the flow is parallel to the interface. So, ANSYS FLUENT switches to the ULTIMATE QUICKEST scheme (the one-dimensional bounded version of the QUICK scheme [ 187]) based on the angle between the face normal and interface normal:


 \tilde{\phi^{UQ}_f} = \left\{ \begin{array}{ll} \tilde{\phi_... ...ght) & \mbox{$0 \leq \tilde{\phi_c} \le 1$} \end{array}\right. (18.3-11)

This leads to a corrected version of the face volume fraction, $\tilde{\phi}_f^*$:


 \tilde{\phi}_f^* = \tilde{\phi}_f \sqrt{\cos{\theta}} + (1-\sqrt{\cos{\theta}}) \tilde{\phi^{UQ}_f} (18.3-12)

where


 \cos{\theta} = \frac{\nabla \phi \cdot \vec{\bf {d}}}{ \vert \nabla \phi \vert \vert \vec{\bf {d}}\vert } (18.3-13)

and $\vec{\bf {d}}$ is a vector connecting cell centers adjacent to the face $f$.

The face volume fraction is now obtained from the normalized value computed above as follows:


 \phi_f = \tilde{\phi}_f^* (\phi_A - \phi_U) + \phi_U (18.3-14)

The modified HRIC scheme provides improved accuracy for VOF calculations when compared to QUICK and second-order schemes, and is less computationally expensive than the Geo-Reconstruct scheme.


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