55th AIAA Aerospace Sciences Meeting 2017
DOI: 10.2514/6.2017-0459
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Evaluating Source Terms of the Generalized Acoustic Analogy using the Jet Engine Noise REduction (JENRE) Code

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Cited by 9 publications
(6 citation statements)
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“…have been undertaken. GAA source covariances have also been analysed by Bassetti & Nichols [110] and others [111,112] using jet LES data. As the newly developed methods are evaluated over a wide range of jet flow conditions and geometries, a more clear sense of the benefits of the improved models (including their simplifications) would emerge.…”
Section: Large-eddy Simulations As An Aid To Jet Modellingmentioning
confidence: 99%
“…have been undertaken. GAA source covariances have also been analysed by Bassetti & Nichols [110] and others [111,112] using jet LES data. As the newly developed methods are evaluated over a wide range of jet flow conditions and geometries, a more clear sense of the benefits of the improved models (including their simplifications) would emerge.…”
Section: Large-eddy Simulations As An Aid To Jet Modellingmentioning
confidence: 99%
“…The auto-covariance functions of the generalised fluctuating Reynolds stress tensor, which corresponds to the effective noise sources of the Goldstein acoustic analogy, are shown both experimentally 15,16 and computationally 1,17,18 to collapse to similitude curves for a wide range of jet Mach numbers when non-dimensionalised appropriately.…”
Section: Introductionmentioning
confidence: 97%
“…For example, [8] and [19] showed that the difference between applying the realistic unsteady inflow condition and the simple initial laminar inflow condition could be very large (O(5dB) in terms of the far-field noise spectra) for the jet flows they considered. On the other hand, for other high-speed jet flows such as considered by [7] or in case of [13] and [14], who considered the same SMC000 nozzle geometry as in the current article, there were laminar inflow conditions used which didn't lead to a drastic deterioration of the solution accuracy compared to the experiment either in terms of the far-field noise spectra or noise-sensitive jet flow properties such as the fourth-order velocity correlations.…”
Section: Introductionmentioning
confidence: 98%
“…The flow conditions inside the nozzle were not recorded and the experimental data available include the flow Particle Image Velocimetry (PIV) and the far-field microphone measurement data. Thanks to the availability of both the flow data and the far-field acoustic measurement, the SHJAR database has already attracted attention for validation of LES methods [12][13][14] as well as hybrid Rynolds Averaged Navier Stokes (RANS)-LES approaches [15][16][17].…”
Section: Introductionmentioning
confidence: 99%