Development of a two-stream mixing layer from tripped and untripped boundary layers

An eighth-order filter method for a wide range of compressible flow speeds (H.C. Yee and B. Sjogreen, Proceedings of ICOSAHOM09, June 22-26, 2009, Trondheim, Norway) are employed for large eddy simulations (LES) of temporally evolving mixing layers (TML) for different convective Mach numbers (M c ) and Reynolds numbers. The high order filter method is designed for accurate and efficient simulations of shock-free compressible turbulence, turbulence with shocklets and turbulence with strong shocks with minimum tuning of scheme parameters. The value of M c considered is for the TML range from the quasi-incompressible regime to the highly compressible supersonic regime. The three main characteristics of compressible TML (the self similarity property, compressibility effects and the presence of large-scale structure with shocklets for high M c ) are considered for the LES study. The LES results using the same scheme parameters for all studied cases agree well with experimental results of , and published direct numerical simulations (DNS) work of Rogers & Moser (1994) and Pantano & Sarkar (2002). Key words: DNS, LES, Homogeneous turbulence, Mixing layer, SWBLI Motivation and ObjectiveFor the last decade there has been an increase in the use of computational fluid dynamics (CFD) in engineering science, not only for fundamental understanding of complex compressible turbulent physics, but also for the development and design of industrial devices. Owing to the recent progress in petascale computing, in tandem with advances in algorithm development for accurate direct numerical simulations (DNS) and large eddy simulations (LES) of shock free compressible turbulence and turbulence with strong shocks, this type of DNS and LES computation has gradually been able to tackle more complex flows physics. Advances in flow visualization tools have paved the way to extracting valuable information from the computed results containing hundreds of terabytes of data. Examples include * This work was performed while the first author was a visiting scholar at the Center for Turbulence Research, Stanford University.

show abstract

“…Figure 3 shows the rescaled mean streamwise velocities at three different streamwise locations. For comparison, we also plot the mean velocity profiles of incompressible flow from Bell & Mehta [25] and the convection Mach number 0.64 one from Samimy & Elliot [26]. All of those curves collapse onto a single one, which validates our numerical simulation.…”

Section: Self-similaritysupporting

confidence: 63%

A numerical study of a turbulent mixing layer and its generated noise

Liu

¹

,

Guo

²

,

Zhang

³

et al. 2013

Sci. China Phys. Mech. Astron.

View full text Add to dashboard Cite

A direct numerical simulation of a turbulent mixing layer with the Reynolds number 500 and the convective Mach number 0.6 is performed and the results obtained are used to study the turbulent flow field and its generated noise. In the present simulation, the numerical techniques of absorbing buffer zones, artificial convection velocity and spatial filtering are used to achieve nonreflecting boundary conditions. The self-similarity is used to validate the present numerical simulations. The large-scale coherent structures are plotted together with the acoustic waves, which demonstrates the directivity of acoustic waves. The Lighthill's source and space-time correlations are further investigated. The main contributions to mixing noise are identified in terms of large-scale coherent structures, Lighthill's source and space-time correlations. direct numerical simulation, mixing layer, space-time correlation, noise PACS number(s): 47.11.Bc, 47.27.ek, 47.27.wj Citation:Li D, Guo L, Zhang X, et al. A numerical study of a turbulent mixing layer and its generated noise.

show abstract

“…The length scales are chosen as δ w 0 in each direction. The Reynolds stresses have a Gaussian shape in y with amplitudes chosen to be similar to the experimental peak intensities observed in incompressible mixing layer [5].…”

Section: Problem Setupmentioning

confidence: 99%

LES of temporally evolving mixing layers by an eighth‐order filter scheme

Hadjadj

¹

,

Yee

²

,

Sjögreen

³

2012

Numerical Methods in Fluids

View full text Add to dashboard Cite

An eighth-order filter method for a wide range of compressible flow speeds (H.C. Yee and B. Sjogreen, Proceedings of ICOSAHOM09, June 22-26, 2009, Trondheim, Norway) are employed for large eddy simulations (LES) of temporally evolving mixing layers (TML) for different convective Mach numbers (M c ) and Reynolds numbers. The high order filter method is designed for accurate and efficient simulations of shock-free compressible turbulence, turbulence with shocklets and turbulence with strong shocks with minimum tuning of scheme parameters. The value of M c considered is for the TML range from the quasi-incompressible regime to the highly compressible supersonic regime. The three main characteristics of compressible TML (the self similarity property, compressibility effects and the presence of large-scale structure with shocklets for high M c ) are considered for the LES study. The LES results using the same scheme parameters for all studied cases agree well with experimental results of , and published direct numerical simulations (DNS) work of Rogers & Moser (1994) and Pantano & Sarkar (2002). Key words: DNS, LES, Homogeneous turbulence, Mixing layer, SWBLI Motivation and ObjectiveFor the last decade there has been an increase in the use of computational fluid dynamics (CFD) in engineering science, not only for fundamental understanding of complex compressible turbulent physics, but also for the development and design of industrial devices. Owing to the recent progress in petascale computing, in tandem with advances in algorithm development for accurate direct numerical simulations (DNS) and large eddy simulations (LES) of shock free compressible turbulence and turbulence with strong shocks, this type of DNS and LES computation has gradually been able to tackle more complex flows physics. Advances in flow visualization tools have paved the way to extracting valuable information from the computed results containing hundreds of terabytes of data. Examples include * This work was performed while the first author was a visiting scholar at the Center for Turbulence Research, Stanford University.

show abstract

Development of a two-stream mixing layer from tripped and untripped boundary layers

Cited by 98 publications

References 4 publications

LES of Temporally Evolving Mixing Layers by an Eighth-Order Filter Scheme

LES of Temporally Evolving Mixing Layers by an Eighth-Order Filter Scheme

A numerical study of a turbulent mixing layer and its generated noise

LES of temporally evolving mixing layers by an eighth‐order filter scheme

Contact Info

Product

Resources

About