Using optimisation techniques within a rapid-distortion theory framework to improve trailing edge noise predictions

Stirrat, Sarah and Afsar, Mohammed and Minisci, Edmondo and Kokkinakis, Ioannis (2020) Using optimisation techniques within a rapid-distortion theory framework to improve trailing edge noise predictions. In: Seventeenth International Conference on Flow Dynamics, 2020-10-28 - 2020-10-30, Virtual Conference and Tohoku University.

[thumbnail of Stirrat-etal-ICFD-2020-Using-optimisation-techniques-within-a-rapid-distortion-theory-framework-to-improve-trailing-edge-noise-predictions]
Preview
Text. Filename: Stirrat_etal_ICFD_2020_Using_optimisation_techniques_within_a_rapid_distortion_theory_framework_to_improve_trailing_edge_noise_predictions.pdf
Final Published Version

Download (630kB)| Preview

Abstract

Goldstein, Leib & Afsar [1] found that the acoustic spectrum for the round jet scattering problem is given a formula that involves the Fourier transform of the turbulence function, R22. We extend this acoustic model to enable representation of the anti-correlation region which was previously excluded. There are several parameters within the model which need to be selected in order to nd the optimum acoustic spectrum across acoustic Mach number and far-field angle. Here we discuss the optimisation methods which were used to obtain these parameters.

ORCID iDs

Stirrat, Sarah, Afsar, Mohammed ORCID logoORCID: https://orcid.org/0000-0002-7417-2089, Minisci, Edmondo ORCID logoORCID: https://orcid.org/0000-0001-9951-8528 and Kokkinakis, Ioannis ORCID logoORCID: https://orcid.org/0000-0001-9694-3764;