A Coupled LES/Stochastic Modeling Approach to Jet Noise Prediction

Blake, J., Sescu, A., Thompson, D., & Hattori, Y. (2018). A Coupled LES/Stochastic Modeling Approach to Jet Noise Prediction. 2018 AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, (AIAA 2018-1248). Kissimmee, FL: AIAA. DOI:10.2514/6.2018-1248.

Abstract

This paper reports the progress on combining large eddy simulations (LES) with a stochastic model, aiming at resolving both the low and high frequency ranges in the acoustic spectrum associated with noise radiating from jets. Within this procedure, the source region is modeled using a combination of LES, modeling the large ow structures, and a stochastic model, accounting for the small ow scales. Sweeping of the stochastic scales by large LES scales is also considered. The farfield noise is predicted using a formulation of the linearized Euler equations (LEE), where the LES and the stochastic field are accounted for by a source term on the right-hand side. A high-order numerical algorithm, involving dispersion relation preserving schemes for spatial discretization and low-dissipation and low-dispersion Runge-Kutta schemes for time marching, is applied for both LES and LEE solvers. The LEE numerical algorithm is validated using a 2D dipole test case. Then, preliminary results for the combined LES/stochastic model are reported for acoustic waves propagating from a Mach 0.9 jet. Results show promise in resolving higher frequency acoustic waves, although further investigation is needed to refine the method for predicting farfield acoustics.