Modeling supersonic heated jet noise at fixed jet Mach number using an asymptotic approach for the acoustic analogy Green’s function and an optimized turbulence model

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

In this study we show how accurate jet noise predictions can be achieved within Goldstein’s generalized acoustic analogy formulation for heated and un-heated supersonic jets using a previously developed asymptotic theory for the adjoint vector Green’s function and a turbulence model whose independent parameters are determined using an optimization algorithm . In this approach, mean flow non-parallelism enters the lowest order dominant balance producing enhanced amplification at low frequencies, which we believe corresponds to the peak sound at small polar observation angles. The novel aspect of this paper is that we exploit both mean flow and turbulence structure from existent Large Eddy Simulations database of two axi-symmetric round jets at fixed jet Mach number and different nozzle temperature ratios to show (broadly speaking) the efficacy of the asymptotic approach. The empirical parameters that enter via local turbulence length scales within the algebraic-exponential turbulence model are determined by optimizing against near field turbulence data post-processed from the LES calculation. Our results indicate that accurate jet noise predictions are obtained with this approach up to a Strouhal number of 0.5 for both jets without introducing significant empiricism.
LanguageEnglish
Title of host publication25th AIAA/CEAS Aeroacoustics Conference
Place of PublicationReston, VA
Number of pages13
DOIs
Publication statusPublished - 18 May 2019
EventAIAA/CEAS Aero-acoustics Conference 2019 - TU Delft, Delft, Netherlands
Duration: 20 May 201923 May 2019
Conference number: AIAA 2019
https://www.nlr.org/aeroacoustics-2019/

Conference

ConferenceAIAA/CEAS Aero-acoustics Conference 2019
CountryNetherlands
CityDelft
Period20/05/1923/05/19
Internet address

Fingerprint

Turbulence Model
Turbulence models
Green's function
Mach number
Analogy
Acoustics
Modeling
Turbulence
Strouhal number
Exponential Model
Prediction
Large Eddy Simulation
Large eddy simulation
Asymptotic Theory
Nozzle
Near-field
Length Scale
Amplification
Low Frequency
Efficacy

Keywords

  • jet noise
  • optimization
  • aero-acoustics

Cite this

@inproceedings{ee89a00e5c74461991011bbf8ac8b1b9,
title = "Modeling supersonic heated jet noise at fixed jet Mach number using an asymptotic approach for the acoustic analogy Green’s function and an optimized turbulence model",
abstract = "In this study we show how accurate jet noise predictions can be achieved within Goldstein’s generalized acoustic analogy formulation for heated and un-heated supersonic jets using a previously developed asymptotic theory for the adjoint vector Green’s function and a turbulence model whose independent parameters are determined using an optimization algorithm . In this approach, mean flow non-parallelism enters the lowest order dominant balance producing enhanced amplification at low frequencies, which we believe corresponds to the peak sound at small polar observation angles. The novel aspect of this paper is that we exploit both mean flow and turbulence structure from existent Large Eddy Simulations database of two axi-symmetric round jets at fixed jet Mach number and different nozzle temperature ratios to show (broadly speaking) the efficacy of the asymptotic approach. The empirical parameters that enter via local turbulence length scales within the algebraic-exponential turbulence model are determined by optimizing against near field turbulence data post-processed from the LES calculation. Our results indicate that accurate jet noise predictions are obtained with this approach up to a Strouhal number of 0.5 for both jets without introducing significant empiricism.",
keywords = "jet noise, optimization, aero-acoustics",
author = "Afsar, {Mohammed Z.} and Adrian Sescu and Edmondo Minisci",
year = "2019",
month = "5",
day = "18",
doi = "10.2514/6.2019-2731",
language = "English",
isbn = "9781624105883",
booktitle = "25th AIAA/CEAS Aeroacoustics Conference",

}

Afsar, MZ, Sescu, A & Minisci, E 2019, Modeling supersonic heated jet noise at fixed jet Mach number using an asymptotic approach for the acoustic analogy Green’s function and an optimized turbulence model. in 25th AIAA/CEAS Aeroacoustics Conference., AIAA 2019-2731, Reston, VA, AIAA/CEAS Aero-acoustics Conference 2019, Delft, Netherlands, 20/05/19. https://doi.org/10.2514/6.2019-2731

Modeling supersonic heated jet noise at fixed jet Mach number using an asymptotic approach for the acoustic analogy Green’s function and an optimized turbulence model. / Afsar, Mohammed Z.; Sescu, Adrian; Minisci, Edmondo.

25th AIAA/CEAS Aeroacoustics Conference. Reston, VA, 2019. AIAA 2019-2731.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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N2 - In this study we show how accurate jet noise predictions can be achieved within Goldstein’s generalized acoustic analogy formulation for heated and un-heated supersonic jets using a previously developed asymptotic theory for the adjoint vector Green’s function and a turbulence model whose independent parameters are determined using an optimization algorithm . In this approach, mean flow non-parallelism enters the lowest order dominant balance producing enhanced amplification at low frequencies, which we believe corresponds to the peak sound at small polar observation angles. The novel aspect of this paper is that we exploit both mean flow and turbulence structure from existent Large Eddy Simulations database of two axi-symmetric round jets at fixed jet Mach number and different nozzle temperature ratios to show (broadly speaking) the efficacy of the asymptotic approach. The empirical parameters that enter via local turbulence length scales within the algebraic-exponential turbulence model are determined by optimizing against near field turbulence data post-processed from the LES calculation. Our results indicate that accurate jet noise predictions are obtained with this approach up to a Strouhal number of 0.5 for both jets without introducing significant empiricism.

AB - In this study we show how accurate jet noise predictions can be achieved within Goldstein’s generalized acoustic analogy formulation for heated and un-heated supersonic jets using a previously developed asymptotic theory for the adjoint vector Green’s function and a turbulence model whose independent parameters are determined using an optimization algorithm . In this approach, mean flow non-parallelism enters the lowest order dominant balance producing enhanced amplification at low frequencies, which we believe corresponds to the peak sound at small polar observation angles. The novel aspect of this paper is that we exploit both mean flow and turbulence structure from existent Large Eddy Simulations database of two axi-symmetric round jets at fixed jet Mach number and different nozzle temperature ratios to show (broadly speaking) the efficacy of the asymptotic approach. The empirical parameters that enter via local turbulence length scales within the algebraic-exponential turbulence model are determined by optimizing against near field turbulence data post-processed from the LES calculation. Our results indicate that accurate jet noise predictions are obtained with this approach up to a Strouhal number of 0.5 for both jets without introducing significant empiricism.

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