ISMA-USD edition:27 location:Leuven, BE date:19-27 September 2016
This paper describes a synthetic turbulence reconstruction method based on filtering of the white noise field
and convection of the particles by means of the Random Particle Mesh method (RPM) in three dimensions.
For that purpose a Gaussian filter is derived from the Gaussian energy spectrum. The method is applied to
simple threedimensional geometry. The parametric study is performed in order to analyse the sensitivity of
the method to several computational parameters. The retrieved statistics of the flow is then compared to the
analytical solution. The results of the research suggest an optimal choice of these parameters to obtain the
accurate numerical solution. The parallel performance of the hybrid MPI-OpenMP implementation of the
method is shown.