Prediction of Installed Jet Noise from Wave-Packet Models Tuned with Freejet Data

Autor: Luigi A. Antonialli, André V. G. Cavalieri, Petrônio A. S. Nogueira, José R. L. N. Sirotto, Júlio A. Cordioli
Rok vydání: 2023
Předmět:
Zdroj: AIAA Journal. 61:1749-1758
ISSN: 1533-385X
0001-1452
DOI: 10.2514/1.j062247
Popis: In this work, a kinematic wave-packet model is used to predict installed-jet noise. Large-eddy simulation results of freejets, for Mach numbers 0.4 and 0.9, are used to obtain parameters of wave packets representing large-scale turbulent structures, which were used to provide a model source for the Lighthill analogy used to predict far-field noise spectra. The source amplitude in the model is calibrated using noise measurements for a freejet, and such a wave-packet source is used to predict noise of the same jet in an installed configuration using a tailored Green’s function. Results from the prediction model are compared to installed-jet experimental data for four different observer positions and a large range of frequencies. Overall, the model predicts both directivities and amplitudes similar to the experimental data, with a hump in the generated noise for lower Strouhal numbers and a clear peak near a Strouhal number of 0.2. This low-order model is fast and flexible, and it is expected to be helpful in preliminary aircraft design.
Databáze: OpenAIRE