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

Autor:	Sharma, Sparsh, Klein, Marten, Schmidt, Heiko, Sarradj, Ennes
Rok vydání:	2020
Předmět:	Physics - Fluid Dynamics Physics - Computational Physics
Druh dokumentu:	Working Paper
Popis:	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. Comment: 4 pages, 3 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2010.11050 Zobrazit plný text záznamu View this record from Arxiv