The Application of Computational Fluid Dynamics to the Prediction of Flow Generated Noise: Part 2: Turbulence-Based Prediction Technique

In this paper an engineering approach is followed to investigate the feasibility of developing a method in which information provided by standard CFD turbulence models can be employed as the basis of an airflow noise prediction technique. To this end, experimental results obtained by previous investigators have been processed and compared with CFD predictions. The turbulence-based predictive technique investigated was based on the relationship between the acoustic power radiated due to the interaction of airflow and a spoiler and the turbulent kinetic energy generated in the region of the spoiler. The sound power level of regenerated noise determined experimentally was related to the turbulent kinetic energy in the vicinity of spoiler provided by CFD simulations of the relevant configurations. A collapse of the data from the simulation models was obtained against the experimental data. The data collapse for a particular spoiler was generally excellent for the higher Strouhal numbers but was less good at lower Strouhal numbers where considerable scatter was observed.