Improved version of the synthetic eddy method for setting nonstationary inflow boundary conditions in calculating turbulent flows

Adamian, D. Yu.; Travin, Andrey

doi:10.1134/s0018151x11040018

Cited by 12 publications

(10 citation statements)

References 10 publications

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“…Firstly an improved version by Adamian et al [1] documented a decrease in error of the averaged flow parameters whilst also shortening the transition region, through a modification of the determining of the linear scale of generated eddy structures. Meanwhile Skillen et al [88] proposed an alternate fluctuation normalisation factor, based upon a running average of the eddy concentration that guarantees the desired statistical properties, regardless of the spatial distribution or length-scale of the eddies, thus correctly allowing for an inhomogeneous distribution of eddy size.…”

Section: Rans To Les Interfacementioning

confidence: 99%

“…The work by Gritskevich et al [31] is later extended to include the combination of ELES with IDDES and SAS models so that the previous WMLES zones are occupied with either IDDES or SAS [33]; additionally the RANS to SRS interface is computed with both vortex method and a Generator of Synthetic Turbulence (GST) [1]. Each method was able to predict the flow and thermal mixing with reasonable accuracy with respect to experimental data, however they appear to slightly under perform when compared to the ELES case in Gritskevich et al [31], which employed a WMLES model, albeit at additional cost.…”

Section: Thermal Mixing In a T-junctionmentioning

confidence: 99%

“…Also listed in Fig. 8 are the estimated notional cost of calculations on ARCHER, the UK's national HPC facility, 1 for completing a computation with respect to the corresponding grid resolution.…”

Section: Cost Perspective and Emerging Use Modesmentioning

confidence: 99%

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A Review of Embedded Large Eddy Simulation for Internal Flows

Holgate

Skillen

Craft

et al. 2018

Arch Computat Methods Eng

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When scale-resolving simulation approaches are employed for the simulation of turbulent flow, computational cost can often be prohibitive. This is particularly true for internal wall-bounded flows, including flows of industrial relevances which may involve both high Reynolds number and geometrical complexity. Modelling the turbulence induced stresses (at all scales) has proven to lack requisite accuracy in many situations. In this work we review a promising family of approaches which aim to find a compromise between cost and accuracy; hybrid RANS-LES methods. We place particular emphasis on the emergence of embedded large eddy simulation. These approaches are summarised and key features relevant to internal flows are highlighted. A thorough review of the application of these methods to internal flows is given, where hybrid approaches have been shown to offer significant benefits to industrial CFD (relative to an empirical broadband modelling of turbulence). This paper concludes by providing a cost-analysis and a discussion about the emerging novel use-modalities for hybrid RANS-LES methods in industrial CFD, such as automated embedded simulation and multi-dimensional coupling.

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Section: Rans To Les Interfacementioning

confidence: 99%

Section: Thermal Mixing In a T-junctionmentioning

confidence: 99%

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A Review of Embedded Large Eddy Simulation for Internal Flows

Holgate

Skillen

Craft

et al. 2018

Arch Computat Methods Eng

View full text Add to dashboard Cite

show abstract

“…A computational grid ( Figure 1 Boundary conditions are shown in Figure 1. Inlet profiles are obtained from a precursor SST-RANS simulation of a boundary layer flow up to specified δ 0 and are then used for generation of inflow turbulent content with the use of GST [5,6]. A symmetry condition is specified on the upper boundary.…”

Section: Zero Pressure Gradient Boundary Layermentioning

confidence: 99%

“…However, a detailed validation of these methods is still required in order to determine their accuracy and range of validity. For that purpose, two modern SRS approaches are considered, namely Scale Adaptive Simulation (SAS) [2] and Improved Delayed Detached Eddy Simulation (IDDES) [3], which are used in conjunction with inflow turbulent content generated with either Vortex Method (VM) [4] or Generator of Synthetic Turbulence (GST) [5,6].…”

Section: Introductionmentioning

confidence: 99%