Numerical Study of Acoustic Installation Effects Through a Chimera CAA Method

Redonnet, Stephane; Desquesnes, G.

doi:10.2514/6.2007-3501

Cited by 19 publications

(18 citation statements)

References 6 publications

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“…As for the continuous one introduced in Section 3, the discrete formulation described above was developed by the present first author through the years [17,18,22,24], and is the one that is now implemented in ONERA's time domain CAA solver sAbrinA 23 [17,18,32,33,40,41]. In particular, the latter solver integrates some of the innovative features presented here (NRI, IOFD), the other ones (SPC, IBP) having being implemented in a dedicated code, named cAmilA 24 [30].…”

Section: Some Remarksmentioning

confidence: 99%

“…As an illustration, regarding internal noise problems, such interface technique had been successfully applied to various cases (e.g. the aft fan noise emission by turbojet engines [32,33]), for which the acoustic signals to be CAA-forced had been derived via analytical means (based on the modal theory [4]). On another hand, regarding now external noise problems, the technique had been also applied with success to several airframe noise applications (e.g.…”

Section: Derivation Of An Innovative Weak Coupling Approachmentioning

confidence: 99%

“…Table 1 lists the set of weighting coefficients associated with such optimized 3-stage Runge-Kutta scheme. Please note that, regarding its use within a CAA context, this particular optimized scheme was validated on the basis of numerous test cases, before it was applied to various problems [20,32,33,40,41].…”

Section: Time Discretizationmentioning

confidence: 99%

“…), these calculations were run on various machines; more precisely, for the first problem (see Section 6.1, below), the CAA calculation was run using one core of a laptop (64 bit, Intel Pentium 2.1 GHz, 4 GB RAM), which required approximately 5 min of wall clock time. On the contrary, the CAA calculations associated with the second problem (see Section 6.2, below) were run over 480 cores of ONERA super computer, 32 requiring approximately 45 CPU hours each (for a total of 12,000 iterations and 66 millions of grid points computed).…”

Section: Further Illustration Via An Application To Two Aerodynamic Nmentioning

confidence: 99%

“…All CAA computations were performed with the help of ONERA's sAbrinA solver [17,18,32,33,40,41], each being conducted over one core of a laptop (64 bits, Pentium 2.1 GHz, 4 Gb Ram) and requiring approximately 30 min of wall clock time. Next subsection summarizes these validation exercises (which detail can be found in [22][23][24][25][26][27][28][29][30]52]), so as to illustrate the main features composing the advanced CAA-based hybrid acoustic method described above.…”

Section: Tablementioning

confidence: 99%

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An advanced hybrid method for the acoustic prediction

Redonnet

Cunha

2015

Advances in Engineering Software

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Section: Some Remarksmentioning

confidence: 99%

Section: Derivation Of An Innovative Weak Coupling Approachmentioning

confidence: 99%

Section: Time Discretizationmentioning

confidence: 99%

Section: Further Illustration Via An Application To Two Aerodynamic Nmentioning

confidence: 99%

Section: Tablementioning

confidence: 99%

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An advanced hybrid method for the acoustic prediction

Redonnet

Cunha

2015

Advances in Engineering Software

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Computational Aeroacoustics

Manoha

Redonnet

Caro³

2010

Encyclopedia of Aerospace Engineering

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Computational AeroAcoustics, or CAA, covers the development of innovative numerical methods for the simulation of the propagation of acoustic waves in three‐dimensional regions characterized by non‐uniform mean flows around bodies with complex geometries. Such methods are necessary to describe the nearfield radiation of aircraft individual noise sources (jet, fan, propeller, landing gear and high lift devices, which modelling relies on a wide panel of methods, from the simplest semi‐empirical models to the most complex space‐time resolution of the Navier–Stokes equations), up to an external domain where the quieter flow conditions allow to resort to simpler acoustic integral methods. The present section focusses on two different CAA approaches, both relying on the space‐time resolution of the linearized or non‐linear Euler equations in perturbation, one based on Finite Difference high order schemes on multi‐block structured grids, and the other based on the Discontinuous Galerkin Method on unstructured grids. The theoretical background of both methods is presented, then several examples are given for typical configurations of airframe and engine noise.

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Development of optimized interpolation schemes with spurious modes minimization

Cunha

Redonnet

2015

Numerical Methods in Fluids

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SUMMARYThis work constitutes a fraction of a more extensive effort, which ultimate objective is the development of advanced aeroacoustics hybrid methods. Within this framework, we here focus on the interpolation step, on which generally rely all coupling processes that link altogether the various stages constituting any given hybrid method. In that regard, previous works by the present authors had revealed the intrinsic limitations and subsequent side effects (e.g., signal degradation) that weight on usual high-order interpolation schemes, whether the latter are of centered or noncentered nature, as well as optimized in an acoustic sense or not. Based on the outcomes of such study, here, a novel optimization technique for interpolation schemes is proposed. Such a technique, which is designed hereafter as the interpolation by parts (IBP), allows interpolating accurately a given signal, while minimizing its possible degradation. As a result, compared with its standard counterpart, any IBP -optimized interpolation scheme exhibits improved characteristics, such as a spurious modes generation that is greatly reduced (up to a 99% factor). Such improved characteristics are here validated on the basis of three test cases (of 1D, 2D and 3D nature), which illustrates the potentialities offered by the IBP optimization technique.

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Numerical Study of Acoustic Installation Effects Through a Chimera CAA Method

Cited by 19 publications

References 6 publications

An advanced hybrid method for the acoustic prediction

An advanced hybrid method for the acoustic prediction

Computational Aeroacoustics

Development of optimized interpolation schemes with spurious modes minimization

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