A Full High Order Method for Computational AeroAcoustics

Peyret, Christophe

doi:10.2514/6.2017-3174

Cited by 2 publications

(5 citation statements)

References 19 publications

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“…recorded pressure fields is generated numerically using the computer code SPACE [23,34] for computational fluid dynamics (CFD) and computational aero-acoustics (CAA). It solves the Euler equations (1) and LEE (4) written as first-order symmetric systems by the nodal discontinuous Galerkin (DG) finite-element method [27], using flux splitting techniques and an explicit Runge-Kutta time-integration scheme.…”

Section: Imaging In a Quiescent Random Mediummentioning

confidence: 99%

“…The data for this generic jet configuration are synthesized numerically in two steps as follows: • First, we simulate the ambient shear flow by solving the Euler equations (1) using the DG solver SPACE [23,34]; this is the CFD step. In order to generate turbulence, viscosity phenomenon must be present.…”

Section: Synthetic Jet Modelmentioning

confidence: 99%

“…• Second, we simulate the propagation of acoustic waves in the ambient flow obtained in the CFD step by solving the linearized Euler equations (4) using again the DG solver SPACE [23,34]; this is the CAA step. In a first approximation, we will consider that the acoustic phenomena are much faster than the fluidic phenomena.…”

Section: Synthetic Jet Modelmentioning

confidence: 99%

“…1 is considered in order to validate the numerical solver used throughout the simulations for both quiescent and moving media. The array data {p(r r , t); 1 ≤ r ≤ N} or {p(r r , t; r s ); 1 ≤ r ≤ N r , 1 ≤ s ≤ N s } of recorded pressure fields is generated numerically using the computer code SPACE [23,34] for computational fluid dynamics (CFD) and computational aero-acoustics (CAA). It solves the Euler equations (1) and LEE (4) written as first-order symmetric systems by the nodal discontinuous Galerkin (DG) finite-element method [27], using flux splitting techniques and an explicit Runge-Kutta time-integration scheme.…”

Section: Imaging In a Quiescent Random Mediummentioning

confidence: 99%

“…In [10], a piecewise polynomial interpolation of degree 1 on regular four-node quadrilateral elements with 30 nodes per wavelength has been considered, as well as a mixed finite element method for spatial integration and perfectly matched layers (PML) [5] to surround the computational domain. They also used a second-order leapfrog scheme [3,4] for temporal integration, while we use a second-order Runge-Kutta explicit scheme [23,34]. Some differences will thus be observed in the resolution of the results obtained here compared to those obtained in [10].…”

Section: Model Setup For Numerical Simulationsmentioning

confidence: 99%

See 4 more Smart Citations

Coherent interferometric imaging in a random flow

Gay

Bonnet

Peyret

et al. 2021

Journal of Sound and Vibration

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This paper is concerned with the development of imaging methods to localize sources or reflectors in inhomogeneous moving media with acoustic waves that have travelled through them. A typical example is the localization of broadband acoustic sources in a turbulent jet flow for aeroacoustic applications. The proposed algorithms are extensions of Kirchhoff migration (KM) and coherent interferometry (CINT) which have been considered for smooth and randomly inhomogeneous quiescent media so far. They are constructed starting from the linearized Euler equations for the acoustic perturbations about a stationary ambient flow. A model problem for the propagation of acoustic waves generated by a fixed point source in an ambient flow with constant velocity is addressed. Based on this result imaging functions are proposed to modify the existing KM and CINT functions to account for the ambient flow velocity. They are subsequently tested and compared by numerical simulations in various configurations, including a synthetic turbulent jet representative of the main features encountered in actual jet flows.

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Section: Imaging In a Quiescent Random Mediummentioning

confidence: 99%

Section: Synthetic Jet Modelmentioning

confidence: 99%

Section: Synthetic Jet Modelmentioning

confidence: 99%

Section: Imaging In a Quiescent Random Mediummentioning

confidence: 99%

Section: Model Setup For Numerical Simulationsmentioning

confidence: 99%

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Coherent interferometric imaging in a random flow

Gay

Bonnet

Peyret

et al. 2021

Journal of Sound and Vibration

Self Cite

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Numerical Exploration of S1MA Source Localization Improvements by Aeroacoustic Liners

Botte,

Roncen,

Mery

et al. 2024

30th AIAA/CEAS Aeroacoustics Conference (2024)

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ONERA S1MA wind tunnel is used to characterize aeroacoustic sources, including the increasingly quieter future generations of engines. Therefore, it is necessary to both reduce the wind tunnel's background noise and improve source detection methods (antenna techniques). This study focuses on the numerical evaluation of the latter point. The wind tunnel is represented numerically, and the linearized Euler equations are solved within it. Various positions of a high-speed liner in S1MA are tested, and their impact on source localization is assessed using Acoular. To simulate the waves interacting with the liner in the time domain, thus allowing broadband simulations, the aeroacoustic liner is represented as a homogenized impedance boundary condition, and a recent variation of the Time-Domain Impedance Boundary Condition (TDIBC) concept is employed. The results demonstrate the influence of the liner on the antenna results when placed in different locations relative to the source.

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A Full High Order Method for Computational AeroAcoustics

Cited by 2 publications

References 19 publications

Coherent interferometric imaging in a random flow

Coherent interferometric imaging in a random flow

Numerical Exploration of S1MA Source Localization Improvements by Aeroacoustic Liners

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