Stochastic noise sources for broadband computational aeroacoustics applied to simplified vehicle underbody geometry

Abstract

The need for fast yet accurate and reliable simulation techniques predicting the aeroacoustics of industrial test cases increases. Even though computational resources grow and the access to high-performance computing centers gets affordable, highly resolved simulations for computational aeroacoustics are still extremly expensive. For broadband noise phenomena, especially stochastic noise source methods have proven their prediction capabilities over teh last years. In this work, two stochastic noise source methods, the Fast Random Particle Mesh (FRPM) method and the Forced Model advection Equation (FAM)), are juxtaposed in their prediction quality of nearfield aeroacoustics phenomena.