A Coupled LES-Synthetic Turbulence Method for Jet Noise Prediction

Large-eddy simulation (LES)-based jet noise predictions do not resolve the entire broadband noise spectra, often under-predicting high frequencies that correspond to un-resolved small-scale turbulence. The coupled LES-synthetic turbulence (CLST) model is presented which aims to model the missing hig...
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Autor*in:	Joshua D. Blake [verfasserIn] Adrian Sescu [verfasserIn] David Thompson [verfasserIn] Yuji Hattori [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	jet noise turbulence modeling synthetic turbulence CFD

Übergeordnetes Werk:	In: Aerospace - MDPI AG, 2014, 9(2022), 3, p 171
Übergeordnetes Werk:	volume:9 ; year:2022 ; number:3, p 171

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/aerospace9030171

Katalog-ID:	DOAJ046983368

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520			\|a Large-eddy simulation (LES)-based jet noise predictions do not resolve the entire broadband noise spectra, often under-predicting high frequencies that correspond to un-resolved small-scale turbulence. The coupled LES-synthetic turbulence (CLST) model is presented which aims to model the missing high frequencies. The CLST method resolves large-scale turbulent fluctuations from coarse-grid large-eddy simulations (CLES) and models small-scale fluctuations generated by a synthetic eddy method (SEM). Noise is predicted using a formulation of the linearized Euler equations (LEE), where the acoustic waves are generated by source terms from the combined fluctuations of the CLES and the stochastic fields. Sweeping and straining of the synthetic eddies are accounted for by convecting eddies with the large turbulent scales from the CLES flow field. The near-field noise of a Mach 0.9 jet at a Reynolds number of 100,000 is predicted with LES. A high-order numerical algorithm, involving a dispersion relation preserving scheme for spatial discretization and an Adams–Bashforth scheme for time marching, is used for both LES and LEE solvers. Near-field noise spectra from the LES solver are compared to published results. Filtering is applied to the LES flow field to produce an under-resolved CLES flow field, and a comparison to the un-filtered LES spectra reveals the missing noise for this case. The CLST method recovers the filtered high-frequency content, agreeing well with the spectra from LES and showing promise at modeling the high-frequency range in the acoustic noise spectrum at a reasonable expense.
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language	English
source	In Aerospace 9(2022), 3, p 171 volume:9 year:2022 number:3, p 171
sourceStr	In Aerospace 9(2022), 3, p 171 volume:9 year:2022 number:3, p 171
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	jet noise turbulence modeling synthetic turbulence CFD Motor vehicles. Aeronautics. Astronautics
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container_title	Aerospace
authorswithroles_txt_mv	Joshua D. Blake @@aut@@ Adrian Sescu @@aut@@ David Thompson @@aut@@ Yuji Hattori @@aut@@
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callnumber-first	T - Technology
author	Joshua D. Blake
spellingShingle	Joshua D. Blake misc TL1-4050 misc jet noise misc turbulence modeling misc synthetic turbulence misc CFD misc Motor vehicles. Aeronautics. Astronautics A Coupled LES-Synthetic Turbulence Method for Jet Noise Prediction
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topic_title	TL1-4050 A Coupled LES-Synthetic Turbulence Method for Jet Noise Prediction jet noise turbulence modeling synthetic turbulence CFD
topic	misc TL1-4050 misc jet noise misc turbulence modeling misc synthetic turbulence misc CFD misc Motor vehicles. Aeronautics. Astronautics
topic_unstemmed	misc TL1-4050 misc jet noise misc turbulence modeling misc synthetic turbulence misc CFD misc Motor vehicles. Aeronautics. Astronautics
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title	A Coupled LES-Synthetic Turbulence Method for Jet Noise Prediction
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title_full	A Coupled LES-Synthetic Turbulence Method for Jet Noise Prediction
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author_browse	Joshua D. Blake Adrian Sescu David Thompson Yuji Hattori
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author-letter	Joshua D. Blake
doi_str_mv	10.3390/aerospace9030171
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title_sort	coupled les-synthetic turbulence method for jet noise prediction
callnumber	TL1-4050
title_auth	A Coupled LES-Synthetic Turbulence Method for Jet Noise Prediction
abstract	Large-eddy simulation (LES)-based jet noise predictions do not resolve the entire broadband noise spectra, often under-predicting high frequencies that correspond to un-resolved small-scale turbulence. The coupled LES-synthetic turbulence (CLST) model is presented which aims to model the missing high frequencies. The CLST method resolves large-scale turbulent fluctuations from coarse-grid large-eddy simulations (CLES) and models small-scale fluctuations generated by a synthetic eddy method (SEM). Noise is predicted using a formulation of the linearized Euler equations (LEE), where the acoustic waves are generated by source terms from the combined fluctuations of the CLES and the stochastic fields. Sweeping and straining of the synthetic eddies are accounted for by convecting eddies with the large turbulent scales from the CLES flow field. The near-field noise of a Mach 0.9 jet at a Reynolds number of 100,000 is predicted with LES. A high-order numerical algorithm, involving a dispersion relation preserving scheme for spatial discretization and an Adams–Bashforth scheme for time marching, is used for both LES and LEE solvers. Near-field noise spectra from the LES solver are compared to published results. Filtering is applied to the LES flow field to produce an under-resolved CLES flow field, and a comparison to the un-filtered LES spectra reveals the missing noise for this case. The CLST method recovers the filtered high-frequency content, agreeing well with the spectra from LES and showing promise at modeling the high-frequency range in the acoustic noise spectrum at a reasonable expense.
abstractGer	Large-eddy simulation (LES)-based jet noise predictions do not resolve the entire broadband noise spectra, often under-predicting high frequencies that correspond to un-resolved small-scale turbulence. The coupled LES-synthetic turbulence (CLST) model is presented which aims to model the missing high frequencies. The CLST method resolves large-scale turbulent fluctuations from coarse-grid large-eddy simulations (CLES) and models small-scale fluctuations generated by a synthetic eddy method (SEM). Noise is predicted using a formulation of the linearized Euler equations (LEE), where the acoustic waves are generated by source terms from the combined fluctuations of the CLES and the stochastic fields. Sweeping and straining of the synthetic eddies are accounted for by convecting eddies with the large turbulent scales from the CLES flow field. The near-field noise of a Mach 0.9 jet at a Reynolds number of 100,000 is predicted with LES. A high-order numerical algorithm, involving a dispersion relation preserving scheme for spatial discretization and an Adams–Bashforth scheme for time marching, is used for both LES and LEE solvers. Near-field noise spectra from the LES solver are compared to published results. Filtering is applied to the LES flow field to produce an under-resolved CLES flow field, and a comparison to the un-filtered LES spectra reveals the missing noise for this case. The CLST method recovers the filtered high-frequency content, agreeing well with the spectra from LES and showing promise at modeling the high-frequency range in the acoustic noise spectrum at a reasonable expense.
abstract_unstemmed	Large-eddy simulation (LES)-based jet noise predictions do not resolve the entire broadband noise spectra, often under-predicting high frequencies that correspond to un-resolved small-scale turbulence. The coupled LES-synthetic turbulence (CLST) model is presented which aims to model the missing high frequencies. The CLST method resolves large-scale turbulent fluctuations from coarse-grid large-eddy simulations (CLES) and models small-scale fluctuations generated by a synthetic eddy method (SEM). Noise is predicted using a formulation of the linearized Euler equations (LEE), where the acoustic waves are generated by source terms from the combined fluctuations of the CLES and the stochastic fields. Sweeping and straining of the synthetic eddies are accounted for by convecting eddies with the large turbulent scales from the CLES flow field. The near-field noise of a Mach 0.9 jet at a Reynolds number of 100,000 is predicted with LES. A high-order numerical algorithm, involving a dispersion relation preserving scheme for spatial discretization and an Adams–Bashforth scheme for time marching, is used for both LES and LEE solvers. Near-field noise spectra from the LES solver are compared to published results. Filtering is applied to the LES flow field to produce an under-resolved CLES flow field, and a comparison to the un-filtered LES spectra reveals the missing noise for this case. The CLST method recovers the filtered high-frequency content, agreeing well with the spectra from LES and showing promise at modeling the high-frequency range in the acoustic noise spectrum at a reasonable expense.
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container_issue	3, p 171
title_short	A Coupled LES-Synthetic Turbulence Method for Jet Noise Prediction
url	https://doi.org/10.3390/aerospace9030171 https://doaj.org/article/c180ac38593b45dba2d27550b9497c4b https://www.mdpi.com/2226-4310/9/3/171 https://doaj.org/toc/2226-4310
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