# SPIRAL_DATA Velocity Vector Field Satisfying Continuity Equation

SPIRAL_DATA is a Python library which samples a velocity vector field that satisfies the continuity equation, and writes the nodes and velocities to a file, suitable for display using GNUPLOT.

The continuous velocity field (U,V)(X,Y) that is discretely sampled here satisfies the homogeneous continuity equation, that is, it has zero divergence. In other words:

```
dU/dX + dV/dY = 0.
```
This is by construction, since we have
```
U(X,Y) =  10 * d/dY ( PHI(X) * PHI(Y) )
V(X,Y) = -10 * d/dX ( PHI(X) * PHI(Y) )
```
which guarantees zero divergence.

The underlying function PHI is defined by

```
PHI(Z) = ( 1 - cos ( C * pi * Z ) ) * ( 1 - Z )^2
```
where C is a parameter.

The velocity data satisifes the (continuous) continuity equation; this in no way implies that it satisfies the momentum equations associated with Stokes or Navier-Stokes flow! Moreover, a flow solution for those equations would normally also require specifying a value for the scalar pressure field P(X,Y).

### Languages:

SPIRAL_DATA is available in a C version and a C++ version and a FORTRAN77 version and a FORTRAN90 version and a MATLAB version and a Python version.

### Related Data and Programs:

NAVIER_STOKES_2D_EXACT, a Python library which evaluates an exact solution to the incompressible time-dependent Navier-Stokes equations over an arbitrary domain in 2D.

STOKES_2D_EXACT, a Python library which evaluates exact solutions to the incompressible steady Stokes equations over the unit square in 2D.

### Examples and Tests:

You can go up one level to the Python source codes.

Last revised on 22 January 2015.