Modelling the trailing edge noise using optimisation techniques within a rapid distortion theory framework
Stirrat, Sarah and Afsar, Mohammed and Minisci, Edmondo and Kokkinakis, Ioannis (2020) Modelling the trailing edge noise using optimisation techniques within a rapid distortion theory framework. In: 73rd Annual Meeting of the APS Division of Fluid Dynamics, 2020-11-22 - 2020-11-24, Online Event.
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Abstract
The sound radiated by a jet flow interacting with a flat plate has received much recent attention in Aero-acoustics research owing to its canonical representation of jet installation effects. Rapid-distortion theory (RDT) uses linear theory to determine both this sound and the hydrodynamic field that generates it. When the plate is positioned parallel to the level curves of the streamwise mean flow , the theory shows that the unsteady flow is related to an upstream convected quantity (the input) that is an arbitrary function of its arguments. This quantity is then related to a measureable turbulence correlation function (푅22) to determine the far field radiated sound (the response). \\ We extend this model by including anti-correlation effects in the function form of 푅22 . There are several parameters within the model which need to be selected in order to find the optimum acoustic spectrum across acoustic Mach number and far-field angle. Here, we discuss various global optimisation techniques used to obtain the parameters in acoustic spectrum formula. This was achieved by either optimising 푅22 or optimising the acoustic model. We discuss these approaches and show how they yield very accurate sound predictions across the Mach number and observation angle regime.
ORCID iDs
Stirrat, Sarah, Afsar, Mohammed ORCID: https://orcid.org/0000-0002-7417-2089, Minisci, Edmondo ORCID: https://orcid.org/0000-0001-9951-8528 and Kokkinakis, Ioannis ORCID: https://orcid.org/0000-0001-9694-3764;-
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Item type: Conference or Workshop Item(Paper) ID code: 77420 Dates: DateEvent22 November 2020Published29 September 2020AcceptedSubjects: Technology > Motor vehicles. Aeronautics. Astronautics Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Strategic Research Themes > Ocean, Air and Space
Strategic Research Themes > Measurement Science and Enabling TechnologiesDepositing user: Pure Administrator Date deposited: 17 Aug 2021 09:27 Last modified: 31 Oct 2024 02:02 URI: https://strathprints.strath.ac.uk/id/eprint/77420