This presentation provides a summary of our recent results on supersonic jet noise prediction using the generalized acoustic analogy approach. The analogy poses a formula for the far-field sound as a convolution product of propagator tensor and the fluctuating Reynolds stress auto-covariance tensor. We found that approximating the propagator tensor using a non-parallel flow asymptotic approximation (Afsar et al., 2019. Phil. Trans. A, in press) of the vector Green's function that satisfies the adjoint linearized Euler equations allows accurate prediction of the peak jet noise. That is, in the small observation angle region, the predictions remain within 1-2 dB of experimental data up to a Strouhal number (based on jet diameter) of at least 0.5. We based the analogy on a model of the Reynolds stress auto-covariance that agrees with Large-Eddy Simulations in isothermal conditions. In general, our predictions recover both the spectral quietening observed in heated jets at fixed acoustic Mach number (Afsar et al. AIAA J., vol.49, p.2522, 2011) and the noise enhancement at fixed jet Mach number. We observed that in either of these cases, using the simpler non-spreading locally parallel flow based Green’s function results in a significant under prediction of sound.
|Publication status||Published - 24 Nov 2019|
|Event||72nd Annual Meeting of the APS Division of Fluid Dynamics : Division of Fluid Dynamics - Washington State Convention Center, Seattle, United States|
Duration: 23 Nov 2019 → 26 Nov 2019
|Conference||72nd Annual Meeting of the APS Division of Fluid Dynamics|
|Period||23/11/19 → 26/11/19|
- jet noise
- turbulence modeling