A stochastic volume approach based on tailored Green’s functions for airfoil noise prediction at low Mach number - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Journal of Sound and Vibration Année : 2023

A stochastic volume approach based on tailored Green’s functions for airfoil noise prediction at low Mach number

Résumé

The presence of boundary surfaces in a turbulent flow can result in the enhancement of the radiated acoustic field especially for eddies close to any geometrical singularity. At low Mach number, the best suited prediction methods consist in using an acoustic analogy solved with an integral formulation. In the present study, we focus on the Lighthill's wave equation combined with a tailored Green's function and a new semi-analytical model for the turbulence statistics in the space-frequency domain to extend acoustic analogies to geometries of arbitrary shapes. To validate the model predictions for the leading edge noise and the trailing edge noise, a NACA 0012 airfoil at zero angle of attack is considered and predictions are compared to experimental data. The volume integral approach introduced in this study allows us to study the spatial distribution of the noise sources inside the turbulence volume. In addition, the direct noise radiation associated with the turbulent boundary layer is investigated.
Fichier principal
Vignette du fichier
JSV_2022-1.pdf (9.12 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04239726 , version 1 (16-10-2023)

Licence

Paternité

Identifiants

Citer

Nicolas Trafny, Gilles Serre, Benjamin Cotté, Jean-François Mercier. A stochastic volume approach based on tailored Green’s functions for airfoil noise prediction at low Mach number. Journal of Sound and Vibration, 2023, 551, pp.117603. ⟨10.1016/j.jsv.2023.117603⟩. ⟨hal-04239726⟩
16 Consultations
10 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More