Robustness of Reduced-Order Jet Noise Models
نویسندگان
چکیده
Three statistical jet noise prediction models are compared for a representative set of single-stream cases, which include cold and hot jets the Strategic Investment in Low-Carbon Engine Technology experiment at an acoustic Mach number 0.875 as well NASA small rig numbers 0.5 0.9. The implemented those proposed by Tam Auriault (Jet Mixing Noise from Fine-Scale Turbulence,” AIAA Journal, Vol. 37, No. 2, 1999, pp. 145–153), Khavaran Bridges (“An Empirical Temperature Variance Source Model Heated Jets,” TM 2012-217743, 2012), Goldstein’s “A Generalized Acoustic Analogy,” Journal Fluid Mechanics, 488, July 2003, 315–333) generalized analogy (GAA) model. By virtue reduced-order modeling, is based on single-point mean flow turbulence statistics, all these implementations use empirical dimensionless source parameters far-field spectra predictions. In comparison with model, GAA model several parameters, available previous literature assumed to be more or less universal class jets. These fluctuating enthalpy function amplitudes autocovariances turbulent stresses velocities literature. three aimed not only assessing their accuracy range conditions, observer angles, frequencies but also examine robustness outside reference were calibrated. For input each flow, kinetic energy, dissipation rate extracted Large Eddy Simulations Reynolds-averaged Navier–Stokes solutions considered.
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ژورنال
عنوان ژورنال: AIAA Journal
سال: 2023
ISSN: ['0001-1452', '1533-385X', '1081-0102']
DOI: https://doi.org/10.2514/1.j061840