Low-Order Models of Dual-Stream Jet Noise with Temperature Effects Based on the Goldstein Generalised Acoustic Analogy

As a first step towards a robust low-order modelling framework that is free from either calibration parameters based on the far-field noise data or any assumptions about the noise source structure, a new low-order noise prediction scheme is implemented. The scheme is based on the Goldstein generalised acoustic analogy and uses the Large Eddy Simulation database of fluctuating Reynolds stress fields from the CABARET MILES solution of Semiletov et al. corresponding to a static isothermal jet from the SILOET experiment for reconstruction of effective noise sources. The sources are scaled in accordance with the physics-based arguments and the corresponding sound meanflow propagation problem is solved using a frequency domain Green’s function method for each jet case. Results of the far-field noise predictions of the new method are validated for the two NASA SHJAR jet cases, sp07 and sp03 from and compared with the reference predictions, which are obtained by applying the Lighthill acoustic analogy scaling for the SILOET far-field measurements and using an empirical jet-noise prediction code, sJet.

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Jet Noise Prediction via Low-order Machine Learning

AIAA Scitech 2019 Forum ◽

10.2514/6.2019-0547 ◽

2019 ◽

Author(s):

Christopher J. Ruscher ◽

Sivaram Gogineni ◽

Andrew S. Tenney ◽

Mark N. Glauser

Keyword(s):

Machine Learning ◽

Jet Noise ◽

Noise Prediction ◽

Low Order

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Streamflow and nutrient dependence of temperature effects on dissolved oxygen in low-order forest streams

10.13031/2013.22467 ◽

2007 ◽

Author(s):

April E Mason ◽

Y Jun Xu ◽

Philip Saksa ◽

Adrienne Viosca ◽

Johnny M Grace ◽

...

Keyword(s):

Dissolved Oxygen ◽

Temperature Effects ◽

Forest Streams ◽

Low Order

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An Acoustic-Analogy Model for Jet-Noise Prediction

13th AIAA/CEAS Aeroacoustics Conference (28th AIAA Aeroacoustics Conference) ◽

10.2514/6.2007-3642 ◽

2007 ◽

Cited By ~ 1

Author(s):

Alessandro Bassetti ◽

Christopher Morfey

Keyword(s):

Jet Noise ◽

Noise Prediction ◽

Acoustic Analogy

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Anisotropic source modelling for turbulent jet noise prediction

Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rsta.2019.0075 ◽

2019 ◽

Vol 377 (2159) ◽

pp. 20190075 ◽

Cited By ~ 1

Author(s):

Xihai Xu ◽

Xiaodong Li

Keyword(s):

Large Scale ◽

Noise Source ◽

Jet Noise ◽

Source Model ◽

Noise Prediction ◽

Reynolds Stresses ◽

Acoustic Analogy ◽

Mean Flow ◽

Navier Stokes Equation ◽

Anisotropic Source

An anisotropic component of the jet noise source model for the Reynolds-averaged Navier–Stokes equation-based jet noise prediction method is proposed. The modelling is based on Goldstein's generalized acoustic analogy, and both the fine-scale and large-scale turbulent noise sources are considered. To model the anisotropic characteristics of jet noise source, the Reynolds stress tensor is used in place of the turbulent kinetic energy. The Launder–Reece–Rodi model (LRR), combined with Menter's ω -equation for the length scale, with modified coefficients developed by the present authors, is used to calculate the mean flow velocities and Reynolds stresses accurately. Comparison between predicted results and acoustic data has been carried out to verify the accuracy of the new anisotropic source model. This article is part of the theme issue ‘Frontiers of aeroacoustics research: theory, computation and experiment’.

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