Prediction of broadband shock-associated noise using Reynolds-averaged Navier-Stokes computational fluid dyanamics

Philip J. Morris, Steven A.E. Miller, A. Lyrintzis

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Broadband shock-associated noise is a component of jet noise generated by supersonic jets operating offdesign. It is characterized by multiple broadband peaks and dominates the total noise at large angles to the jet downstream axis. A new model is introduced for the prediction of broadband shock-associated noise that uses the solution of the Reynolds-averaged Navier-Stokes equations. The noise model is an acoustic analogy based on the linearized Euler equations. The equivalent source terms depend on the product of the fluctuations associated with the jet's shock-cell structure and the turbulent velocity fluctuations in the jet shear layer. The former are deterministic and are obtained from the Reynolds-averaged Navier-Stokes solution. A statistical model is introduced to describe the properties of the turbulence. Only the geometry and operating conditions of the nozzle need to be known to make noise predictions. This overcomes the limitations and empiricism present in previous broadband shock-associated noise models. Results for various axisymmetric circular nozzles and a rectangular nozzle operating at various conditions are compared with experimental data to validate the model.

Original languageEnglish (US)
Pages (from-to)2931-2944
Number of pages14
JournalAIAA journal
Volume48
Issue number12
DOIs
StatePublished - Dec 1 2010

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Fluids
Nozzles
Euler equations
Acoustic noise
Navier Stokes equations
Turbulence
Acoustics
Geometry

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

Cite this

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Prediction of broadband shock-associated noise using Reynolds-averaged Navier-Stokes computational fluid dyanamics. / Morris, Philip J.; Miller, Steven A.E.; Lyrintzis, A.

In: AIAA journal, Vol. 48, No. 12, 01.12.2010, p. 2931-2944.

Research output: Contribution to journalArticle

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