Shear- and Self-Noise Sources

The main sources of aerodynamically generated sound can be decomposed into a shear-noise term (generated by the interaction between the mean shear velocities and turbulent velocity components of the flow) and self-noise term (generated by turbulence-turbulence interactions). Simcenter STAR-CCM+ allows you to compute these noise source terms from a synthetic turbulent velocity field.

The synthetic turbulent velocity field is generated from a steady-state Reynolds-Averaged Navier-Stokes (RANS) flow solution using random Fourier modes. This method, called the Stochastic Noise Generation and Radiation (SNGR) model, was proposed by Kraichnan [847] and Karweit et al.[845], and afterward developed by Bailly and Juve [824], Bechara et al.[825].

The following noise source models allow you to compute shear- and self-noise sources from the synthetic turbulent velocity field:

NoteThese models solve for noise sources only—not for acoustic wave propagation.
Lilley Sources
The Lilley Sources model uses a nonlinear function to compute shear- and self-noise sources.
Applications include problems where local shear effects dominate, such as flow around solid bodies and shear flows in channels. This model evaluates the location and strength of aeroacoustic sound sources.
For more information, see Lilley Sources Model Reference.
LEE Sources
The Linearized Euler Equation (LEE) Sources model accounts for refraction and convection effects in any sheared mean flows. The equations can be used for a wider range of conditions than the Lilley equation, where the associated source term is a nonlinear function of the fluctuating velocity flow field. See [42].
For more information, see LEE Sources Model Reference.