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On a lower-order framework for jet noise prediction based on one-dimensional turbulence

  • Noise prediction requires the resolution of relevant acoustic sources on all scales of a turbulent flow. High-resolution direct numerical and large-eddy simulation would be ideal but both are usually too costly despite developments in high performance computing. Lower-order modeling approaches are therefore of general interest. A crucial but standing problem for accurate predictive modeling is the estimation of missing noise from the modeled scales. In this paper we address this problem by presenting a novel lower-order framework that couples the one-dimensional turbulence model to the Ffowcs-Williams and Hawkings approach for prediction of the far-field noise of a subsonic turbulent round jet.

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Metadaten
Author: Sparsh SharmaORCiD, Marten KleinORCiD, Heiko SchmidtORCiD, Ennes SarradjORCiD
URL:https://arxiv.org/abs/2010.11050
Title of the source (English):arXiv
Document Type:Scientific journal article not peer-reviewed
Language:English
Year of publication:2020
Tag:Ffowcs-Williams and Hawkings equation; jet noise; one-dimensional turbulence; turbulent mixing noise
First Page:1
Last Page:4
Faculty/Chair:Fakultät 3 Maschinenbau, Elektro- und Energiesysteme / FG Numerische Strömungs- und Gasdynamik
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