2015
DOI: 10.1016/j.jsv.2015.02.030
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A frequency domain linearized Navier–Stokes method including acoustic damping by eddy viscosity using RANS

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Cited by 30 publications
(23 citation statements)
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“…Assuming also that turbulence fluctuations do not generate significant density variations, i.e. ρ ′ = 0, as in previous studies [49,50], we can prove that the density-weighted variables given by Eq. ( 12) simplify to the variables defined in Eq.…”
Section: Uncoupled Formulationsupporting
confidence: 82%
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“…Assuming also that turbulence fluctuations do not generate significant density variations, i.e. ρ ′ = 0, as in previous studies [49,50], we can prove that the density-weighted variables given by Eq. ( 12) simplify to the variables defined in Eq.…”
Section: Uncoupled Formulationsupporting
confidence: 82%
“…This expression is the generalisation of previous work [47,49,50] to include entropy fluctuations. For low-Mach-number flows, variations of the mean density ρ are negligible.…”
Section: Uncoupled Formulationmentioning
confidence: 55%
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“…The methodology is independent of the reflection properties of the upstream and downstream duct terminations, allowing a direct comparison between numerical and experimental data. Even in presence of non-linear phenomena in the aeroacoustic field, the N-port methodology has been used to predict the whistling frequency of T-junctions [13,14] and orifices [5,27], applying the acoustic energy criterion based on the scattering matrix formulation [8].…”
Section: Acoustic Characterization Two-port Methodsmentioning
confidence: 99%
“…As discussed in [1,10,13] the aeroacoustic instabilities develop from a linear state to a non-linear regime as the damping mechanisms of vortex shedding become significant for the saturation of the shear layer response. Numerical methods based on linearized Navier-Stokes (LNS) equations can therefore be applied to predict the onset of aeroacoustic instabilities in T-junctions [14], orifices [7] or Helmholtz resonators [15]. The non-linear aeroacoustic interactions can be modeled using scale-resolving methods such as direct numerical simulations (DNS) [16], and large-eddy simulations (LES) [9,11].…”
Section: Introductionmentioning
confidence: 99%