sandbox/Antoonvh/internalwacesMG.c

    Internal Waves

    In a stratified fluid internal waves can exist (also reffered to as gravity waves). An interesting feature of these waves is the so-called dispersion relation between the angle of wave propagation (\theta), stratification strength (N^2) and the freqency of the wave (\omega), according to,

    \displaystyle \omega = N^2 \cos(\theta).

    Numerical set-up

    The Navier-Stokes equantions under Boussinesq approximation are solved on a 256 \times 256 miltigrid. In the centre of the domain an oscillating force exites the internal waves with a freqency corresponding to \theta = 45^o.

    #include "grid/multigrid.h"
    #include "navier-stokes/centered.h"
    #include "tracer.h"
    
    scalar b[];
    scalar * tracers = {b};
    face vector av[];
    double sqN = 1., omega;
    
    b[top]    = neumann (sqN);
    b[bottom] = neumann (-sqN);
    
    int main() {
      omega = sqrt(1./2.);
      L0 = 30;
      X0 = Y0 = -L0/2;
      a = av;
      TOLERANCE = 1e-4;
      DT = 0.2/omega;
      N = 256;
      run();
    }

    The initial stratification is set.

    event init (t = 0) {
      foreach()
        b[] = sqN*y;
      boundary ({b});
    }

    Acceleration

    We apply gravity and the localized oscillarory force.

    event acceleration (i++) {
      coord del = {0, 1};
      foreach_face() 
        av.x[] = del.x*((b[] + b[-1])/2. +
    		    0.1*(sin(omega*t)*((sq(x) + sq(y)) < 1)));
    }

    Output

    We output a .mp4 file showing the evolution of the magnitude of the gradient of the buoyancy field (|\nabla b|).

    event output (t += 0.5; t <= 75) {
      scalar grb[];
      foreach() {
        grb[] = 0;
        foreach_dimension()
          grb[] += sq((b[1] - b[-1])/(2*Delta));
        grb[] = sqrt(grb[]);
      }
      output_ppm (grb, file = "grb.mp4", min = 0.8, max = 1.2);
    }

    Results

    The dispersion relation appears to be statisfied.

    Visualization of the internal waves

    The next step is to perform this simulation using adaptive grids, See here.