Broadband aerodynamic noise simulation using synthetic turbulence methods

Turbulence generated broadband noise is an important source of noise that can be found in many applications. The characteristics of noise are defined by a combination of turbulence statistics, flow and geometry, imposing challenges in developing efficient and robust prediction methods. Direct simulations of flow governing equations are currently too costly for design optimisation. An efficient strategy is to solve governing equations such as the full or linearized Euler equations with a synthetic turbulence model, which reproduces main turbulence statistics, therefore capturing the physics of noise generation and sound propagation. In this paper, synthetic turbulence methods for aeroacoustics, especially those suitable for the broadband noise simulations of leading edge noise problems, are introduced. Examples are provided, together with progresses made in tackling the challenges of computational aeroacoustics for transonic flows and far-field noise computation.