Large eddy simulation of high-lift devices

Bodart, Julien; Larsson, Johan; Moin, Parviz

doi:10.2514/6.2013-2724

Cited by 40 publications

(25 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…WMLES requires additional development of the wall-modelling capability [28]. As such, investments in LES research are needed with emphasis on (i) improved utilization of HPC including developments of numerical algorithms that can more effectively use future HPC environments and (ii) improved wall-modelling capability necessary for reliable WMLES.…”

Section: (I) High-performance Computingmentioning

confidence: 99%

Enabling the environmentally clean air transportation of the future: a vision of computational fluid dynamics in 2030

Slotnick

Khodadoust

Alonso

et al. 2014

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

As global air travel expands rapidly to meet demand generated by economic growth, it is essential to continue to improve the efficiency of air transportation to reduce its carbon emissions and address concerns about climate change. Future transports must be ‘cleaner’ and designed to include technologies that will continue to lower engine emissions and reduce community noise. The use of computational fluid dynamics (CFD) will be critical to enable the design of these new concepts. In general, the ability to simulate aerodynamic and reactive flows using CFD has progressed rapidly during the past several decades and has fundamentally changed the aerospace design process. Advanced simulation capabilities not only enable reductions in ground-based and flight-testing requirements, but also provide added physical insight, and enable superior designs at reduced cost and risk. In spite of considerable success, reliable use of CFD has remained confined to a small region of the operating envelope due, in part, to the inability of current methods to reliably predict turbulent, separated flows. Fortunately, the advent of much more powerful computing platforms provides an opportunity to overcome a number of these challenges. This paper summarizes the findings and recommendations from a recent NASA-funded study that provides a vision for CFD in the year 2030, including an assessment of critical technology gaps and needed development, and identifies the key CFD technology advancements that will enable the design and development of much cleaner aircraft in the future.

show abstract

Section: (I) High-performance Computingmentioning

confidence: 99%

Enabling the environmentally clean air transportation of the future: a vision of computational fluid dynamics in 2030

Slotnick

Khodadoust

Alonso

et al. 2014

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

show abstract

“…The relatively lower cost of wallmodeled LES over fully-resolved LES makes it attractive to simulate realistic configurations at very high Re. The same wall model and LES methodology was used by Bodart & Larsson 22 and Bodart et al 26 to predict flow around a multi-element airfoil at various angles of attack, which yielded good comparisons with experiment. The same wall model was also used by Park 18 to study the hump configuration used in this study, but the results for skin friction were not presented.…”

Section: Introductionmentioning

confidence: 99%

Wall--modeled Large Eddy Simulation of Flow Over a Wall--mounted Hump

Iyer

Malik

2016

46th AIAA Fluid Dynamics Conference

View full text Add to dashboard Cite

Large eddy simulation (LES) with an equilibrium wall model is used to study the flow past a wall-mounted hump at conditions matching the experiments of Greenblatt et al. based on the hump chord (Rec = u∞c/ν∞) is 936,000 and the freestream Mach number (M∞) is 0.1. The Reynolds number of the flow approaching the hump is about 7,000 based on the momentum thickness. This configuration has proved to be a challenging test case with most Reynolds-Averaged Navier-Stokes (RANS) models overpredicting the separation bubble length. While the present wall-modeled LES simulations capture the bubble length within 3.4% of the experiment and mean statistics in the separation bubble reasonably well, they do not accurately predict the skin friction distribution in the separated region. The effect of grid resolution and exchange location for information from LES to the wall model is studied by qualitative and quantitative comparisons to experiment. The fine grid simulation with the exchange location placed away from the wall gives the best agreement overall with experiment.

show abstract

“…Laboratory experiments often use trips near the leading edge and details of the laminar to turbulent transition are challenging to compute owing to the high-resolution requirements and 'numerical tripping' can generate excessive spurious noise and requires special attention [99]. At high Reynolds number, it is also not practical to resolve the near-wall turbulence, see [5], and hybrid schemes requiring resolving only the outer-layer eddies which scale with boundary layer thickness [9,10] 3 , and with laminar or turbulent boundary layers on the pressure side. They showed very good comparison with the available flow and noise measurements [101] and analysed the convective effects on noise radiation.…”

Section: (I) Slat Noisementioning

confidence: 99%

“…This mechanism (referred to as an edge-dipole source [79]) is regarded as a major contributor to slat noise generation. High-fidelity simulation of the multi-element aerofoil flow, and in particular of the slat flow, using improved versions of DES (see [6,88]), implicit DES [89,90], with wallmodel LES (see [10]) and stochastic source models coupled with acoustic perturbation equation solution [91,92] has provided important insights into slat noise generation and radiation. Strong collaboration between the computations and laboratory measurements (see [93]) even when simulations were limited to two-dimensional unsteady RANS, has resulted in faster progress.…”

Section: (I) Slat Noisementioning

confidence: 99%

“…Some form of modelling of near-wall eddies is essential to achieve the Reynolds numbers of applications. Different hybrid approaches for flow simulations, such as zonal LES [6], detached eddy simulation (DES) and its variants [7,8], wall-modelled LES [9,10], and hybrid Reynolds-averaged Navier-Stokes (RANS)-LES, have been developed and are being investigated for aeroacoustics. A discussion with greater technical depth is given in [11,12].…”

mentioning

confidence: 99%

See 1 more Smart Citation

A second golden age of aeroacoustics?

Lele

Nichols

2014

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

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.

show abstract

Large eddy simulation of high-lift devices

Cited by 40 publications

References 6 publications

Enabling the environmentally clean air transportation of the future: a vision of computational fluid dynamics in 2030

Enabling the environmentally clean air transportation of the future: a vision of computational fluid dynamics in 2030

Wall--modeled Large Eddy Simulation of Flow Over a Wall--mounted Hump

A second golden age of aeroacoustics?

Contact Info

Product

Resources

About