Large eddy simulations of 2-D and 3-D spatially developing mixing layers

Martha, Chandra Sekhar; Blaisdell, Gregory A.; Lyrintzis, Anastasios S.

doi:10.1016/j.ast.2013.09.007

Cited by 14 publications

(5 citation statements)

References 33 publications

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“…Table 4 demonstrates the 3D and 2D computational results. In this study, the 3D results have been found to be close to the 2D ones, which is consistent with the observations in Martha et al [56].…”

Section: Verification and Validationsupporting

confidence: 93%

“…forcing, single precision and double precision, sp represents single precision, dp represents double precision). Table 1 shows the comparison of Reynolds stress and turbulent mixing layer growth rate with the experimental and computational results in references [56,57,[59][60][61][62]. It can be seen that these results match well.…”

Section: Verification and Validationmentioning

confidence: 71%

“…The 2D computational domain extends from 0 ∼ 350δ ω (0) in the streamwise x-direction, and from −300δ ω (0) ∼ 300δ ω (0) in the crosswise y-direction. In this computational domain, the streamwise range 0 ∼ 200δ ω (0) is the physical computational domain, the downstream flow range 200δ ω (0) ∼ 350δ ω (0) is an additional buffer to avoid the pollution of the flow field caused by the reflected wave generated by the exit boundary at x = 350δ ω (0) [56]. The 3D computational domain will be discussed in detail in Section 2.2.4.…”

Section: Computational Domain and The Original Gridmentioning

confidence: 99%

“…The computational domain and the original grid as well as the freestream parameters in Section 2.1 are the same as those in the studies by Martha et al [56] and Uzun [57], making it easy to compare the numerical simulation results.…”

Section: Computational Domain and The Original Gridmentioning

confidence: 99%

“…The parameters of the original case are described in Sections 2.2.1 and 2.2.2, where α in the inlet disturbance is taken as 0.0045. Figure 1 shows the comparison of the vorticity thickness growth curve of the turbulent mixing layer with the relevant computational results in reference [56] (Figure 1 includes two kinds of inlet cases without forcing and with forcing, single precision and double precision, sp represents single precision, dp represents double precision). Table 1 shows the comparison of Reynolds stress and turbulent mixing layer growth rate with the experimental and computational results in references [56,57,[59][60][61][62].…”

Section: Verification and Validationmentioning

confidence: 99%

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Large Eddy Simulation and Dynamic Mode Decomposition of Turbulent Mixing Layers

Cheng¹,

Chen²

2021

Applied Sciences

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Turbulent mixing layers are canonical flow in nature and engineering, and deserve comprehensive studies under various conditions using different methods. In this paper, turbulent mixing layers are investigated using large eddy simulation and dynamic mode decomposition. The accuracy of the computations is verified and validated. Standard dynamic mode decomposition is utilized to flow decomposition, reconstruction and prediction. It was found that the dominant-mode selection criterion based on mode amplitude is more suitable for turbulent mixing layer flow compared with the other three criteria based on singular value, modal energy and integral modal amplitude, respectively. For the mixing layer with random disturbance, the standard dynamic mode decomposition method could accurately reconstruct and predict the region before instability happens, but is not qualified in the regions after that, which implies that improved dynamic mode decomposition methods need to be utilized or developed for the future dynamic mode decomposition of turbulent mixing layers.

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Section: Verification and Validationsupporting

confidence: 93%

Section: Verification and Validationmentioning

confidence: 71%

Section: Computational Domain and The Original Gridmentioning

confidence: 99%

Section: Computational Domain and The Original Gridmentioning

confidence: 99%

Section: Verification and Validationmentioning

confidence: 99%

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Large Eddy Simulation and Dynamic Mode Decomposition of Turbulent Mixing Layers

Cheng¹,

Chen²

2021

Applied Sciences

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A pseudo-DNS method for the simulation of incompressible fluid flows with instabilities at different scales

et al. 2019

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In this work a new model for the analysis of incompressible fluid flows with massive instabilities at different scales is presented. It relies on resolving all the instabilities at all scales without any additional model, i.e. following the Direct Numerical Simulation style. Nevertheless, the computation is carried out at two levels or scales, termed the coarse and the fine. The fine scale simulation is performed on Representative Volume Elements (RVEs) providing the homogenized stress tensor as a function of several dimensionless numbers characterizing the flow. Consequently, the effect of the fine scale instabilities is transferred to the coarse level as a homogenized stress tensor, a procedure inspired by standard multi-scale methods used in solids. The present proposal introduces a new way for the treatment of the flow at the fine scale, simulating not only coarse scale but also the fine scales with all the necessary detail, but without incurring in the excessive computational cost of the classical DNS. Another interesting aspect of the present proposal is the use of a Lagrangian formulation for convecting the eddies simulated on the fine mesh through the coarse domain. Several examples showing the potentiality of this methodology for the simulation of homogeneous flows such are presented.

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Evolution characteristics of subsonic-supersonic mixing layer impinged by shock waves

Jiang

et al. 2020

Aerospace Science and Technology

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Large eddy simulations of 2-D and 3-D spatially developing mixing layers

Cited by 14 publications

References 33 publications

Large Eddy Simulation and Dynamic Mode Decomposition of Turbulent Mixing Layers

Large Eddy Simulation and Dynamic Mode Decomposition of Turbulent Mixing Layers

A pseudo-DNS method for the simulation of incompressible fluid flows with instabilities at different scales

Evolution characteristics of subsonic-supersonic mixing layer impinged by shock waves

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