A Computational Aeroacoustics (CAA) approach is applied to solve the LEE equation system. A fourth-order Dispersion-Relation-Preserving finite difference scheme is implemented for spatial discretization [Tam & Webb (1993)], and a 2N storage form Low Dissipation and Low Dispersion Runge-Kutta scheme is applied for time integration [Hu et al. (1996)], [Stanescu & Habashi (1998)]. Appropriate boundary conditions are prescribed at different boundary regions. Much attention has been paid to grid generation and far field boundary conditions.
For a full 3D CAA sound propagation simulation, the typical size of an aero-engine intake results in a large problem whose solution is very expensive. It is known, however, that only a limited number of cut-on modes are excited in the source region of the engine and will propagate into the far-field. For restricted geometries like axisymmetric ducts or specific flow physics such as non-swirling mean flow, the problem size can be reduced by transformation and simplification.
A schematic overview of the different approaches is given in Fig.2.
Furthermore, a distinction can be made between mean flow with and without swirl for this approach. For the non swirling mean flow such as in the engine intake, the real and imaginary parts of complex 2D equations are decoupled. Therefore, only the real part has to be simulated, with the imaginary part being determined from the real part with a phase shift. This halves the numerical effort compared with the swirling mean flow where real and imaginary parts have to be simulated simultaneously.