Hybrid LES/RANS Simulation of a Mach 5 Compression-Corner Interaction

Edwards, Jack R.; Choi, Jung Il; Boles, John A.

doi:10.2514/6.2008-718

Cited by 11 publications

(22 citation statements)

References 22 publications

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“…The hybrid LES/RANS model used in the present study 3 is based on Menter's 7 and only involves modifications to the eddy viscosity description:…”

Section: A Turbulence Closurementioning

confidence: 99%

“…The objective of the present work is to examine the effects of various modeling and algorithmic parameters on the ability of a representative hybrid LES/RANS method 3 to predict mean-flow and second-moment statistics for a selection of well-characterized compressible turbulent boundary layers. The baseline model utilizes a flowdependent blending function to shift the closure from a RANS model (Menter's BSL) 7 near solid surfaces to a largeeddy simulation approach further away.…”

Section: Introductionmentioning

confidence: 99%

“…The baseline model utilizes a flowdependent blending function to shift the closure from a RANS model (Menter's BSL) 7 near solid surfaces to a largeeddy simulation approach further away. A key to the performance of the method is the precise embedding of the RANS component of the closure within the boundary layer and the use of recycling / re-scaling techniques 3,6,[8][9][10][11] to sustain the development of larger turbulent structures in the outer layer. To assess the effects of different variations in the formulation, we perform parametric studies based on the flat-plate boundary layer experiment of Luker et al 12 (Re δ =1.78×10 5 and M ∞ =2.80).…”

Section: Introductionmentioning

confidence: 99%

“…Predictions of high Reynolds-number flows still remain a challenging issue in DNS or LES due to the large computational requirements necessary to resolve near-wall turbulence. Because of their use of near-wall modeling, hybrid LES/RANS methods [3][4][5][6] offer the potential to compute flows at high Reynolds number with much less expense than LES or DNS. Accurate predictions would appear to require that most of the boundary layer be computed as a large-eddy simulation, but there has been little work done in determining exactly how well the boundary layer structure is predicted using these techniques, particularly for high Reynolds numbers.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3] These methods have shown an ability to capture directly the unsteadiness of the interactions and to improve our understanding of the underlying physics of complicated highspeed flows. Predictions of high Reynolds-number flows still remain a challenging issue in DNS or LES due to the large computational requirements necessary to resolve near-wall turbulence.…”

Section: Introductionmentioning

confidence: 99%

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Compressible Boundary Layer Predictions at High Reynolds Number using Hybrid LES/RANS Methods

Choi

Edwards

Baurle

2008

38th Fluid Dynamics Conference and Exhibit

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“…The hybrid LES/RANS model used in the present study 3 is based on Menter's 7 and only involves modifications to the eddy viscosity description:…”

Section: A Turbulence Closurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Compressible Boundary Layer Predictions at High Reynolds Number using Hybrid LES/RANS Methods

Choi

Edwards

Baurle

2008

38th Fluid Dynamics Conference and Exhibit

Self Cite

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Modeling of Turbulence

Blakeslee¹

2016

Internal Combustion Processes of Liquid Rocket Engines

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The accurate prediction of turbulence is of great importance in the design and optimization of rocket combustors and nozzles, while turbulence modeling is actually one key factor in the uncertainty of the whole numerical simulation (N-S) process. Turbulent flow is a complex multi-scale system. However, the Kolmogorov scale of turbulence is much larger than the molecule's free path, with the continuity hypothesis still working, and the N-S equations are effective in describing the behavior of turbulence. In recent decades, numerous turbulence modeling methods have been proposed for theoretical studies and industrial applications.Currently, the numerical simulation approaches on turbulence mainly include direct numerical simulation (DNS), large-eddy simulation (LES), Reynolds average method (RANS), and some other hybrid approaches. DNS based on the original N-S equation is expected to capture all scales contained in the turbulence field, which is capable of presenting all the flow information. However, the massive computational cost makes it only available for some theoretical studies; The RANS simulation approach starts from the Reynolds averaged N-S equation, with all kinds of turbulence models developed to enclose the high-order statistic terms in the governing equations. It is presently the most economical and popular approach for industrial applications [1]. The LES approach lies between the DNS and RANS simulations, with the large scale eddies resolved and small scale eddies modeled [2]. However, in the problems involving no-slip walls, the large computational cost is still a major challenge for industrial applications of LES; consequently, hybrid RANS/LES approaches have been developed. Aiming at industrial applications, we will mainly focus on the RANS and LES simulations in this chapter.Internal Combustion Processes of Liquid Rocket Engines: Modeling and Numerical Simulations, First Edition. Zhen-Guo Wang.

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