CABARET method on unstructured hexahedral grids for jet noise computation

•A new scalable CABARET MILES method is introduced for jet noise modelling.•Comparison with the JEAN experiment is presented for several grid resolutions.•Fourth-order velocity correlation results important for jet noise are discussed.•Acoustic method based on several control surfaces allows accurat...

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Bibliographic Details
Published in:Computers & fluids Vol. 88; pp. 165 - 179
Main Authors: Faranosov, Georgy A., Goloviznin, Vasily M., Karabasov, Sergey A., Kondakov, Vasily G., Kopiev, Victor F., Zaitsev, Mihail A.
Format: Journal Article
Language:English
Published: Elsevier Ltd 15-12-2013
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Summary:•A new scalable CABARET MILES method is introduced for jet noise modelling.•Comparison with the JEAN experiment is presented for several grid resolutions.•Fourth-order velocity correlation results important for jet noise are discussed.•Acoustic method based on several control surfaces allows accurate noise prediction.•Acoustic solution directivity computed is compared with the TsAGI jet noise data. A new scalable high-resolution CABARET MILES method coupled with a porous Ffowcs Williams–Hawking formulation for far-field noise modelling is applied for the computation of flow and noise from a high-speed turbulent jet, which corresponds to a converging axi-symmetric nozzle and static isothermal conditions of the Jet Exhaust Aerodynamics and Noise experiment. Computational simulation results are provided for a range of grid resolutions. The results for simple means, turbulent kinetic energy, and fourth-order velocity correlations are compared with the experimental data and with a reference LES-Smagorinsky calculation from the literature. Far-field-noise predictions are obtained based on several integral control surfaces, which are used for consistency of the model. The far-field noise spectra are also compared with the experiment. The directivity of the far field noise predicted is analysed with the Azimuthal Decomposition Technique and compared with jet noise data from the TsAGI experimental database.
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ISSN:0045-7930
1879-0747
DOI:10.1016/j.compfluid.2013.08.011