Abstract
An overview of jet noise research is presented wherein the principal movements in the field are traced since its beginnings. Particular attention is paid to the evolution of our understanding of what we call a “source mechanism” in free shear flows; to the theoretical, experimental and numerical studies which have nurtured this understanding; and to the currently unresolved conceptual difficulties which render analysis of experimental and numerical data so difficult. As it is clear that accelerated progress in this field of research can be made possible by a more effective synergy between the theoretical, experimental and numerical disciplines—one which draws in particular on the impressive recent progress in experimental and numerical techniques—we endeavour to elucidate the various “source” characteristics identified by these different means of study; the points on which the studies agree or disagree, and the significance of such accord or discord; and, the new analysis possibilities which can now be realised by effectively associating experiment, modelling and simulation.
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Notes
Jet dynamic Mach is defined as U/c j where U is the jet exit velocity, and c j the sound speed based on the jet temperature, acoustic Mach number is defined as U/c o , where c o is the ambient temperature.
This was based on a three-way split of flow quantities into time averaged, phase-averaged and random components (associated, respectively, with the mean flow, the large-scale instability and the fine-scaled, random turbulence) which was first used by the turbulence community in order to understanding the dynamics of coherent structures in free shear flows (see Hussain and Reynolds 1970 for example).
It should be noted that the turbulence in a round jet is neither isotropic nor homogeneous, and so neglect of the third order term may constitute a dangerous oversimplification.
By pressure production terms we mean terms such as are found on the right-hand side of a Poisson’s equation for the pressure field in an incompressible turbulence field.
The stochastic estimation is in fact exactly equivalent to the Extended POD, in that the EPOD amounts to the solution of the linear problem.
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Jordan, P., Gervais, Y. Subsonic jet aeroacoustics: associating experiment, modelling and simulation. Exp Fluids 44, 1–21 (2008). https://doi.org/10.1007/s00348-007-0395-y
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DOI: https://doi.org/10.1007/s00348-007-0395-y