An advanced hybrid method for the acoustic prediction

Redonnet, Stephane; Cunha, Guilherme

doi:10.1016/j.advengsoft.2015.05.006

Cited by 22 publications

(20 citation statements)

References 61 publications

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“…For the isolated cases, far-field pressure time signals are reconstructed from the unsteady aerodynamic flow fields stored on surfaces surrounding the jet in the near field, using the Ffowcs-Williams and Hawkings integral formulation 10 with additional flux terms proposed by Rahier et al 11 . For the far-field noise computation of the installed configuration, a CFD/CAA coupling approach is used (NRI approach 12 ). In addition to the simulation /experiments comparison, we take profit of the simulation to investigate the influence of the antenna position with respect to the nozzle exit.…”

Section: Fig 3: Scheme Of the Acoustic Extrapolation Principle C Numentioning

confidence: 99%

Installed jet noise source analysis by microphone array processing

Davy¹,

Mortain²,

Huet³

et al. 2019

25th AIAA/CEAS Aeroacoustics Conference

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This paper presents the identification of jet noise sources carried out at ONERA in the framework of the European Project JERONIMO. A dedicated test campaign was conducted in the anechoic wind tunnel CEPRA19 for a UHBR dual-stream nozzle with and without wing model installed. Arrays of microphone were implemented in order to apply advanced processing for noise source identification. The analysis focused on the wing installation effects. Correlated monopoles model was used in order to identify the different noise sources radiation occurring in installed jet configurations. The results projected in far field have been assessed with the farfield measurement. The acoustic localization processing applied to the numerical simulation demonstrates a good agreement with the experiments. Tonal jet-flap interaction noise is also highlighted, showing strong correlation between source at bypass exit and flap trailing edge.

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Section: Fig 3: Scheme Of the Acoustic Extrapolation Principle C Numentioning

confidence: 99%

Installed jet noise source analysis by microphone array processing

Davy¹,

Mortain²,

Huet³

et al. 2019

25th AIAA/CEAS Aeroacoustics Conference

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“…The numerical strategy employed for doing so was that of the advanced hybrid method which was originally proposed and extensively advocated by the present first author, and whose idea is to interface unsteady CFD and CAA (Computational AeroAcoustics) [24]. Indeed, over the last years, ONERA devoted significant research means to the development of a robust and accurate hybrid method whose propagation stage would be based on a CAA step, rather than on an Integral Method (e.g.…”

Section: Numerical Strategy and Computational Set-upmentioning

confidence: 99%

“…use was here made of an advanced hybrid approach originally proposed by the present first author [24], and whose noise propagation stage relies on Computational AeroAcoustics (CAA) techniques. Doing so aimed at ensuring a higher fidelity to the acoustic propagation stage, by i) accounting for the noise emission that had been effectively predicted by the CFD stage (rather than to model it via equivalent sources, as implicitly done by IM/FWH techniques), as well as by ii) possibly considering the realistic jet flow characterizing the experiment (rather than to model it via a simplistic homogeneous medium, as also done by IM/FWH techniques).…”

Section: Introductionmentioning

confidence: 99%

“…Doing so aimed at ensuring a higher fidelity to the acoustic propagation stage, by i) accounting for the noise emission that had been effectively predicted by the CFD stage (rather than to model it via equivalent sources, as implicitly done by IM/FWH techniques), as well as by ii) possibly considering the realistic jet flow characterizing the experiment (rather than to model it via a simplistic homogeneous medium, as also done by IM/FWH techniques). Following that, the CFD-based noise generation stage previously simulated was interfaced with a CAA-based noise propagation one, which was conducted using ONERA's sAbrinA solver [24][25][26][27]. The 19th AIAA Aeroacoustics Conference provided an occasion to early document the outcomes of such CFD-CAA hybrid calculations [28], which were then improved further through an adjustment of both the CAA computational set-up derivation and the CFD data manipulation steps [23].…”

Section: Introductionmentioning

confidence: 99%

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Numerical characterization of landing gear aeroacoustics using advanced simulation and analysis techniques

Redonnet

Khelil

Bulté

et al. 2017

Journal of Sound and Vibration

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With the objective of aircraft noise mitigation, we here address the numerical characterization of the aeroacoustics by a simplified nose landing gear (NLG), through the use of advanced simulation and signal processing techniques. To this end, the NLG noise physics is first simulated through an advanced hybrid approach, which relies on Computational Fluid Dynamics (CFD) and Computational AeroAcoustics (CAA) calculations. Compared to more traditional hybrid methods (e.g. those relying on the use of an Acoustic Analogy), and although it is used here with some approximations made (e.g. design of the CFD-CAA interface), the present approach does not rely on restrictive assumptions (e.g. equivalent noise source, homogeneous propagation medium), which allows to incorporate more realism into the prediction. In a second step, the outputs coming from such CFD-CAA hybrid calculations are processed through both traditional and advanced post-processing techniques, thus offering to further investigate the NLG's noise source mechanisms. Among other things, this work highlights how advanced computational methodologies are now mature enough to not only simulate realistic problems of airframe noise emission, but also to investigate their underlying physics.

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“…This aimed at ensuring a higher fidelity in the acoustic propagation stage by 1) accounting for the noise emission that was effectively predicted by the CFD stage (rather than modeling it via equivalent sources, as implicitly done by IM/FWH techniques) and 2) possibly considering the realistic jet flow characterizing the experiment (rather than modeling it via a simplistic uniform mean flow, as also done by IM/FWH techniques). After that, the CFDbased noise generation stage previously simulated was weakly coupled with a CAA-based noise propagation one, the latter conducted using ONERA's sAbrinA solver [34][35][36], which is a timedomain CAA code that solves the perturbed nonlinear Euler equations using high-order finite-differences schemes. The 19th and 21st AIAA Aeroacoustic Conference provided an opportunity to present these CFD-CAA hybrid calculations and outcomes [33,37], which were then thoroughly documented in a dedicated journal paper [32] and are briefly summarized hereafter.…”

Section: B Numerical Characterization Of the Aeroacoustics Of The Nomentioning

confidence: 99%

Landing Gear Noise Identification Using Phased Array with Experimental and Computational Data

Bulté

Redonnet

2017

AIAA Journal

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In regard to aircraft noise mitigation, this paper focuses on noise emission by a simplified nose landing gear (NLG), whose noise sources are identified by the means of sensor array methods. More precisely, following a former characterization of the aeroacoustics by the NLG via dedicated experiments and computations, the subsequent experimental and numerical noise signals are applied two popular sensor array methods of noise localization, namely, classical beam forming (CBF) and deconvolution approach for the mapping of acoustic sources (DAMAS). The resulting noise source maps are then analyzed from both the points of view of phenomenology (NLG noise generation mechanisms) and methodology (noise localization methods and application). The results show how sensor array methods (more especially DAMAS) are capable of revealing the underlying physics of the NLG noise source mechanisms, whether it is within an experimental or a computational context. This speaks in favor of a more systematic use of sensor array methods for investigating the noise physics of aircraft components.

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An advanced hybrid method for the acoustic prediction

Cited by 22 publications

References 61 publications

Installed jet noise source analysis by microphone array processing

Installed jet noise source analysis by microphone array processing

Numerical characterization of landing gear aeroacoustics using advanced simulation and analysis techniques

Landing Gear Noise Identification Using Phased Array with Experimental and Computational Data

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