# src/fractions.h

# Volume fractions

These functions are used to maintain or define volume and surface fractions either from an initial geometric definition or from an existing volume fraction field.

We will use basic geometric functions for square cut cells and the “Mixed-Youngs-Centered” normal approximation of Ruben Scardovelli.

```
#include "geometry.h"
#if dimension == 1
coord mycs (Point point, scalar c) {
coord n = {1.};
return n;
}
#elif dimension == 2
# include "myc2d.h"
#else // dimension == 3
# include "myc.h"
#endif
```

## Coarsening and refinement of a volume fraction field

On trees, we need to define how to coarsen (i.e. “restrict”) or refine (i.e. “prolongate”) interface definitions (see geometry.h for a basic explanation of how interfaces are defined).

```
#if TREE
void fraction_refine (Point point, scalar c)
{
```

If the parent cell is empty or full, we just use the same value for the fine cell.

```
double cc = c[];
if (cc <= 0. || cc >= 1.)
foreach_child()
c[] = cc;
else {
```

Otherwise, we reconstruct the interface in the parent cell.

```
coord n = mycs (point, c);
double α = plane_alpha (cc, n);
```

And compute the volume fraction in the quadrant of the coarse cell matching the fine cells. We use symmetries to simplify the combinations.

```
coord a, b;
foreach_dimension() {
a.x = 0.; b.x = 0.5;
}
foreach_child() {
coord nc;
foreach_dimension()
nc.x = child.x*n.x;
c[] = rectangle_fraction (nc, α, a, b);
}
}
}
```

Finally, we also need to prolongate the reconstructed value of $\alpha $. This is done with the simple formula below. We add an attribute so that we can access the normal from the refinement function.

```
attribute {
vector n;
}
static void alpha_refine (Point point, scalar α)
{
vector n = α.n;
double alphac = 2.*α[];
coord m;
foreach_dimension()
m.x = n.x[];
foreach_child() {
α[] = alphac;
foreach_dimension()
α[] -= child.x*m.x/2.;
}
}
#endif // TREE
```

## Computing volume fractions from a “levelset” function

Initialising a volume fraction field representing an interface is not trivial since it involves the numerical evaluation of surface integrals.

Here we define a function which allows the approximation of these surface integrals in the case of an interface defined by a “levelset” function $\Phi $ sampled on the *vertices* of the grid.

By convention the “inside” of the interface corresponds to $\Phi >0$.

The function takes the vertex scalar field $\Phi $ as input and fills `c`

with the volume fraction and, optionally if it is given, `s`

with the surface fractions i.e. the fractions of the faces of the cell which are inside the interface.

```
struct Fractions {
vertex scalar Φ; // compulsory
scalar c; // compulsory
face vector s; // optional
};
trace
void fractions (struct Fractions a)
{
vertex scalar Φ = a.Φ;
scalar c = a.c;
face vector s = automatic (a.s);
```

We store the positions of the intersections of the surface with the edges of the cell in vector field `p`

. In two dimensions, this field is just the transpose of the *line fractions* `s`

, in 3D we need to allocate a new field.

```
#if dimension == 3
vector p[];
#else // dimension == 2
vector p;
p.x = s.y; p.y = s.x;
#endif
```

### Line fraction computation

We start by computing the *line fractions* i.e. the (normalised) lengths of the edges of the cell within the surface.

` foreach_edge() {`

If the values of $\Phi $ on the vertices of the edge have opposite signs, we know that the edge is cut by the interface.

` if (Φ[]*Φ[1] < 0.) {`

In that case we can find an approximation of the interface position by simple linear interpolation. We also check the sign of one of the vertices to orient the interface properly.

```
p.x[] = Φ[]/(Φ[] - Φ[1]);
if (Φ[] < 0.)
p.x[] = 1. - p.x[];
}
```

If the values of $\Phi $ on the vertices of the edge have the same sign (or are zero), then the edge is either entirely outside or entirely inside the interface. We check the sign of both vertices to treat limit cases properly (when the interface intersects the edge exactly on one of the vertices).

```
else
p.x[] = (Φ[] > 0. || Φ[1] > 0.);
}
```

### Surface fraction computation

We can now compute the surface fractions. In 3D they will be computed for each face (in the z, x and y directions) and stored in the face field `s`

. In 2D the surface fraction in the z-direction is the *volume fraction* `c`

. The call to `boundary_flux()`

defines consistent line fractions on trees.

```
#if dimension == 3
scalar s_x = s.x, s_y = s.y, s_z = s.z;
foreach_face(z,x,y)
#else // dimension == 2
boundary_flux ({s});
scalar s_z = c;
foreach()
#endif
{
```

We first compute the normal to the interface. This can be done easily using the line fractions. The idea is to compute the circulation of the normal along the boundary $\partial \Omega $ of the fraction of the cell $\Omega $ inside the interface. Since this is a closed curve, we have $${\oint}_{\partial \Omega}\mathbf{\text{n}}\phantom{\rule{0.278em}{0ex}}dl=0$$ We can further decompose the integral into its parts along the edges of the square and the part along the interface. For the case pictured above, we get for one component (and similarly for the other) $$-{s}_{x}[]+{\oint}_{\Phi =0}{n}_{x}\phantom{\rule{0.278em}{0ex}}dl=0$$ If we now define the *average normal* to the interface as $$\overline{\mathbf{\text{n}}}={\oint}_{\Phi =0}\mathbf{\text{n}}\phantom{\rule{0.278em}{0ex}}dl$$ We have in the general case $${\overline{\mathbf{\text{n}}}}_{x}={s}_{x}[]-{s}_{x}[1,0]$$ and $$\mid \overline{\mathbf{\text{n}}}\mid ={\oint}_{\Phi =0}\phantom{\rule{0.278em}{0ex}}dl$$ Note also that this average normal is exact in the case of a linear interface.

```
coord n;
double nn = 0.;
foreach_dimension(2) {
n.x = p.y[] - p.y[1];
nn += fabs(n.x);
}
```

If the norm is zero, the cell is full or empty and the surface fraction is identical to one of the line fractions.

```
if (nn == 0.)
s_z[] = p.x[];
else {
```

Otherwise we are in a cell containing the interface. We first normalise the normal.

```
foreach_dimension(2)
n.x /= nn;
```

To find the intercept $\alpha $, we look for edges which are cut by the interface, find the coordinate $a$ of the intersection and use it to derive $\alpha $. We take the average of $\alpha $ for all intersections.

```
double α = 0., ni = 0.;
for (int i = 0; i <= 1; i++)
foreach_dimension(2)
if (p.x[0,i] > 0. && p.x[0,i] < 1.) {
double a = sign(Φ[0,i])*(p.x[0,i] - 0.5);
α += n.x*a + n.y*(i - 0.5);
ni++;
}
```

Once we have $\mathbf{\text{n}}$ and $\alpha $, the (linear) interface is fully defined and we can compute the surface fraction using our pre-defined function. For marginal cases, the cell is full or empty (*ni == 0*) and we are reduced to the case above.

```
s_z[] = ni ? line_area (n.x, n.y, α/ni) : p.x[];
}
}
```

### Volume fraction computation

To compute the volume fraction in 3D, we use the same approach.

```
#if dimension == 3
boundary_flux ({s});
foreach() {
```

Estimation of the average normal from the surface fractions.

```
coord n;
double nn = 0.;
foreach_dimension(3) {
n.x = s.x[] - s.x[1];
nn += fabs(n.x);
}
if (nn == 0.)
c[] = s.x[];
else {
foreach_dimension(3)
n.x /= nn;
```

We compute the average value of *alpha* by looking at the intersections of the surface with the twelve edges of the cube.

```
double α = 0., ni = 0.;
for (int i = 0; i <= 1; i++)
for (int j = 0; j <= 1; j++)
foreach_dimension(3)
if (p.x[0,i,j] > 0. && p.x[0,i,j] < 1.) {
double a = sign(Φ[0,i,j])*(p.x[0,i,j] - 0.5);
α += n.x*a + n.y*(i - 0.5) + n.z*(j - 0.5);
ni++;
}
```

Finally we compute the volume fraction.

```
c[] = ni ? plane_volume (n, α/ni) : s.x[];
}
}
#endif
```

Finally we apply the boundary conditions.

```
boundary ({c});
}
```

The convenience macro below can be used to define a volume fraction field directly from a function.

```
#define fraction(f,func) do { \
vertex scalar φ[]; \
foreach_vertex() \
φ[] = func; \
fractions (φ, f); \
} while(0)
```

## Interface reconstruction from volume fractions

The reconstruction of the interface geometry from the volume fraction field requires computing an approximation to the interface normal.

### Youngs normal approximation

This a simple, but relatively inaccurate way of approximating the normal. It is simply a weighted average of centered volume fraction gradients. We include it as an example but it is not used.

```
coord youngs_normal (Point point, scalar c)
{
coord n;
double nn = 0.;
assert (dimension == 2);
foreach_dimension() {
n.x = (c[-1,1] + 2.*c[-1,0] + c[-1,-1] -
c[+1,1] - 2.*c[+1,0] - c[+1,-1]);
nn += fabs(n.x);
}
// normalize
if (nn > 0.)
foreach_dimension()
n.x /= nn;
else // this is a small fragment
n.x = 1.;
return n;
}
```

### Interface reconstruction

The reconstruction function takes a volume fraction field `c`

and returns the corresponding normal vector field `n`

and intercept field $\alpha $.

```
trace
void reconstruction (const scalar c, vector n, scalar alpha)
{
foreach() {
```

If the cell is empty or full, we set $\mathbf{\text{n}}$ and $\alpha $ only to avoid using uninitialised values in `alpha_refine()`

.

```
if (c[] <= 0. || c[] >= 1.) {
α[] = 0.;
foreach_dimension()
n.x[] = 0.;
}
else {
```

Otherwise, we compute the interface normal using the Mixed-Youngs-Centered scheme, copy the result into the normal field and compute the intercept $\alpha $ using our predefined function.

```
coord m = mycs (point, c);
// coord m = youngs_normal (point, c);
foreach_dimension()
n.x[] = m.x;
α[] = plane_alpha (c[], m);
}
}
#if TREE
```

On a tree grid, for the normal to the interface, we don’t use any interpolation from coarse to fine i.e. we use straight “injection”.

```
foreach_dimension()
n.x.refine = n.x.prolongation = refine_injection;
```

We set our refinement function for *alpha*.

```
α.n = n;
α.refine = α.prolongation = alpha_refine;
#endif
```

Finally we apply the boundary conditions to define $\mathbf{\text{n}}$ and $\alpha $ everywhere (using the prolongation functions when necessary on tree grids).

```
boundary ({n, α});
}
```

## Interface output

This function “draws” interface facets in a file. The segment endpoints are defined by pairs of coordinates. Each pair of endpoints is separated from the next pair by a newline, so that the resulting file is directly visualisable with gnuplot.

The input parameters are a volume fraction field `c`

, an optional file pointer `fp`

(which defaults to stdout) and an optional face vector field `s`

containing the surface fractions.

If `s`

is specified, the surface fractions are used to compute the interface normals which leads to a continuous interface representation in most cases. Otherwise the interface normals are approximated from the volume fraction field, which results in a piecewise continuous (i.e. geometric VOF) interface representation.

```
struct OutputFacets {
scalar c;
FILE * fp; // optional: default is stdout
face vector s; // optional: default is none
};
trace
void output_facets (struct OutputFacets p)
{
scalar c = p.c;
face vector s = p.s;
if (!p.fp) p.fp = stdout;
foreach()
if (c[] > 1e-6 && c[] < 1. - 1e-6) {
coord n;
if (!s.x.i)
// compute normal from volume fraction
n = mycs (point, c);
else {
// compute normal from face fractions
double nn = 0.;
foreach_dimension() {
n.x = s.x[] - s.x[1];
nn += fabs(n.x);
}
assert (nn > 0.);
foreach_dimension()
n.x /= nn;
}
double α = plane_alpha (c[], n);
#if dimension == 2
coord segment[2];
if (facets (n, α, segment) == 2)
fprintf (p.fp, "%g %g\n%g %g\n\n",
x + segment[0].x*Δ, y + segment[0].y*Δ,
x + segment[1].x*Δ, y + segment[1].y*Δ);
#else // dimension == 3
coord v[12];
int m = facets (n, α, v, 1.);
for (int i = 0; i < m; i++)
fprintf (p.fp, "%g %g %g\n",
x + v[i].x*Δ, y + v[i].y*Δ, z + v[i].z*Δ);
if (m > 0)
fputc ('\n', p.fp);
#endif
}
fflush (p.fp);
}
```

## Interfacial area

This function returns the surface area of the interface as estimated using its VOF reconstruction.

```
trace
double interface_area (scalar c)
{
double area = 0.;
foreach()
if (c[] > 1e-6 && c[] < 1. - 1e-6) {
coord n = mycs (point, c), p;
double α = plane_alpha (c[], n);
area += pow(Δ, dimension - 1)*plane_area_center (n, α, &p);
}
return area;
}
```

## Usage

### Examples

### Tests

- Check that user flags are properly reset when adapting
- Computation of a levelset field from a contour
- Curvature of a circular/spherical interface
- Charge relaxation in an axisymmetric insulated conducting column
- Charge relaxation in a planar cross-section
- Two- and three-dimensional explosions
- Computation of volume fractions from a levelset function
- Computation of volume fractions on a variable-resolution grid
- Circular dam break on a sphere
- Simple test of Basilisk View