Current Status of Jet Noise Predictions Using Large-Eddy Simulation

Bodony, Daniel J.; Lele, Sanjiva K.

doi:10.2514/1.24475

Cited by 253 publications

(168 citation statements)

References 83 publications

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“…They combined RANS calculations of the jet flow from specific nozzles with LES of the flow downstream of the nozzle exit. Besides obtaining good agreement with available data on round nozzles for various operating conditions, they also reported the ability to compute the jet noise sensitivity to nozzle geometry change using emulated boundary conditions (see [51] for in-depth assessment). LES calculations directly including the nozzle geometry, with chevrons, internal mixing, etc., using an unstructured grid, were achieved more recently using a finite volume method [25,[52][53][54][55].…”

Section: (A) Computational Algorithmsmentioning

confidence: 65%

A second golden age of aeroacoustics?

Lele

Nichols

2014

Phil. Trans. R. Soc. A.

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In 1992, Sir James Lighthill foresaw the dawn of a second golden age in aeroacoustics enabled by computer simulations (Hardin JC, Hussaini MY (eds) 1993 Computational aeroacoustics, New York, NY: Springer (doi:10.1007). This review traces the progress in large-scale computations to resolve the noise-source processes and the methods devised to predict the far-field radiated sound using this information. Keeping focus on aviation-related noise sources a brief account of the progress in simulations of jet noise, fan noise and airframe noise is given highlighting the key technical issues and challenges. The complex geometry of nozzle elements and airframe components as well as the high Reynolds number of target applications require careful assessment of the discretization algorithms on unstructured grids and modelling compromises. High-fidelity simulations with 200-500 million points are not uncommon today and are used to improve scientific understanding of the noise generation process in specific situations. We attempt to discern where the future might take us, especially if exascale computing becomes a reality in 10 years. A pressing question in this context concerns the role of modelling in the coming era. While the sheer scale of the data generated by large-scale simulations will require new methods for data analysis and data visualization, it is our view that suitable theoretical formulations and reduced models will be even more important in future.

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Section: (A) Computational Algorithmsmentioning

confidence: 65%

A second golden age of aeroacoustics?

Lele

Nichols

2014

Phil. Trans. R. Soc. A.

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“…In conjunction with higher order accurate algorithms with low dispersion and dissipation schemes, large eddy simulation (LES) and direct numerical simulation (DNS) are also being considered for improved jet noise simulations, with LES proving to be a more practical tool for real-world applications. A review of current status on LES application to jet noise is presented in Bodony and Lele (2008). According to this review, although LES appears to be a promising tool, the limited spectral bandwidth of its predictions poses a serious limitation for industrial use, especially from the point of view of noise reduction techniques.…”

Section: 3mentioning

confidence: 99%

Simulation of Supersonic Jet Noise with Nonlinear CFD and Kirchhoff Surface Integral

Kandula

2008

Engineering Applications of Computational Fluid Mechanics

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An acoustic prediction capability for supersonic axisymmetric jets was developed on the basis of the OVERFLOW Navier-Stokes CFD (Computational Fluid Dynamics) code. Reynolds-averaged turbulent stresses in the flow field are modeled with the aid of Spalart-Allmaras one-equation turbulence model. Appropriate acoustic and outflow boundary conditions were implemented to compute time-dependent acoustic pressure in the nonlinear source-field. Based on the specification of acoustic pressure, its temporal and normal derivatives on the Kirchhoff surface, the near-field and the far-field sound pressure levels are computed via Kirchhoff surface integral, with the Kirchhoff surface chosen to enclose the nonlinear sound source region described by the CFD code. The method is validated by a comparison of the predictions of sound pressure levels with the available data for axisymmetric turbulent supersonic perfectly expanded jets.

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“…Jet noise has been widely studied since the 1950s when Lighthill [14,15] first postulated an acoustic analogy which was originally aimed to separate the generation and prorogation of sound through mathematical manipulation of the Navier-Stokes equations. Since then, most modeling work has mainly been analytical until recent advances in computational aeroacoustics (see for example Bodony and Lele's review [2]). …”

Section: Introductionmentioning

confidence: 99%

Turbulent jet characteristics for axisymmetric and serrated nozzles

Xia

2015

Computers & Fluids

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Turbulent jet large eddy simulations (LES) are performed at Mach 0.9 and Reynolds number around 10 6 . Implicit large-eddy simulation (ILES) is employed, namely omitting explicit subgrid scale models. The Reynolds-averaged Navier-Stokes (RANS) solution is blended into the near wall region. This makes an overall hybrid LES-RANS approach. A Hamilton-Jacobi equation is applied to remove the disparate turbulence length scales implied by hybridization. Computations are contrasted for a baseline axisymmetric (round) nozzle and a serrated (or chevron) nozzle with high bending and penetration. Jet characteristics for both nozzles are studied in detail with well documented experimental data compared. The chevron effects are demonstrated by comparing both solutions using the same mesh resolution and flow conditions. Higher order velocity moments with potential for aeroacoustic modeling and noise prediction, such as the two-point velocity spatial correlations, are also explored. Numerical simulations presented in this study utilize an in-house flow solver with improved parallel scalability and efficiency by means of data packeting and a scheduling algorithm similar to the Round Robin scheduling.

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Current Status of Jet Noise Predictions Using Large-Eddy Simulation

Cited by 253 publications

References 83 publications

A second golden age of aeroacoustics?

A second golden age of aeroacoustics?

Simulation of Supersonic Jet Noise with Nonlinear CFD and Kirchhoff Surface Integral

Turbulent jet characteristics for axisymmetric and serrated nozzles

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