Stochastic reconstruction of turbulence for trailing-edge noise computation

In CAA the computation of the sound sources is typically the most time-consuming step. It is frequently based on unsteady CFD simulations, which can be expensive for large Reynolds number flows. In this context, the Random Particle-Mesh (RPM) method which is a stochastic approach to reconstruct the sources in time domain from a solution to the Reynolds-Averaged Navier-Stokes (RANS) equations is discussed with an aim to predict airfoil trailing edge noise. In this work the RPM method is used for generating synthetic turbulence in the wake of an airfoil and the statistics of the reconstructed fluctuations are compared with model statistics. Further some guidelines for determining the parameters used in the stochastic turbulence generation process are presented in addition to the guidelines presented in previous works.