Scalable Tools for Generating Synthetic Isotropic Turbulence with Arbitrary Spectra

Saad, Tony; Cline, Derek; Stoll, Rob; Sutherland, James C.

doi:10.2514/1.j055230

Cited by 65 publications

(29 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thus von Karman-Pao spectrum can be used to obtain spectral information of turbulence field. The von Karman-Pao spectrum is given by (Juves [13], Saad et al [27]):…”

Section: Isotropic Casementioning

confidence: 99%

Turbulence generation from a stochastic wavelet model

Lin

2018

Proc. R. Soc. A.

View full text Add to dashboard Cite

This research presents a new turbulence generation method based on stochastic wavelets and tests its various properties in both homogeneous and inhomogeneous turbulence. Turbulence field can be generated with less basis compared to previous synthetic Fourier methods. Adaptive generation of inhomogeneous turbulence is achieved by scale reduction algorithm and lead to smaller computation cost. The generated turbulence shows good agreement with input data and theoretical results.

show abstract

“…Thus von Karman-Pao spectrum can be used to obtain spectral information of turbulence field. The von Karman-Pao spectrum is given by (Juves [13], Saad et al [27]):…”

Section: Isotropic Casementioning

confidence: 99%

Turbulence generation from a stochastic wavelet model

Lin

2018

Proc. R. Soc. A.

View full text Add to dashboard Cite

show abstract

“…Аналогичное несовпадение энергетических спектров на одной гармонике наблюдается и при генерации турбулентного поля скорости для рассматриваемой задачи с помощью наиболее популярного спектрального метода [6]. На рисунке 8 приведены энергетические спектры реализаций турбулентного поля скорости, сгенерированных с помощью спектрального метода, описанного в [6], и рандомизированного спектрального метода на сетке, имеющей 33 узла на ребро.…”

Section: рис 2 моменты первого порядкаunclassified

“…Необходимость в использовании таких полей возникает, например, в задачах аэроакустики [1][2][3][4][5]. Синтетически сгенерированные турбулентные поля могут использоваться в качестве начальных условий для верификации и валидации RANS/LES кодов [6], когда экспериментально известны свойства турбулентного течения на последующие моменты времени. В последнее время синтетические турбулентные поля всё чаще применяются для задания входных нестационарных граничных условий при расчетах турбулентных течений гибриднымиRANS/LES методами [7].…”

Section: Introductionunclassified

Generation of three-dimensional turbulent velocity fields on the base of a randomized spectral method

Alexandrov

Dorodnicyn²,

Duben

2018

KIAM Prepr.

View full text Add to dashboard Cite

О р д е н а Л е н и н а ИНСТИТУТ ПРИКЛАДНОЙ МАТЕМАТИКИ имени М.В.Келдыша Р о с с и й с к о й а к а д е м и и н а у к А.В. Александров, Л.В. Дородницын, А.П. Дубень Генерация трехмерных турбулентных полей скорости на основе рандомизированного спектрального метода Москва-2018 Алексндров А.В., Дородницын Л.В., Дубень А.П. Генерация трехмерных турбулентных полей скорости на основе рандомизированного спектрального метода В работе стохастический спектральный метод, предложенный ранее для генерации двумерных изотропных однородных турбулентных полей, обобщается на трехмерный случай. Приводятся результаты численного анализа предложенной методики. Показывается, что полученные реализации турбулентных полей обладают необходимыми свойствами для использования в качестве граничных условий для LES/DNS расчетов.

show abstract

“…One of the LES methods compared is based on explicit asynchronous time-stepping scheme, which uses a hierarchy of local time steps depending on the local cell size [28]. The Navier-Stokes solver is based on the Compact Accurately Boundary-Adjusting high-REsolution Technique (CABARET) scheme [24], [25], [26], [27], [28], [30] which is implemented with a wall model [31], [32], [33] and a synthetic turbulence boundary condition 4 [34], [35]. Because of the computational stencil compactness, CABARET can utilse unstructured grids with patches of refined isotropic Cartesian meshes as required in the vicinity of viscous boundary and jet shear layers [21], [22], [23].…”

Section: Introductionmentioning

confidence: 99%

“…obtaining of random velocity fluctuations in accordance with the synthetic turbulence generation method[34], a periodic box domain is considered. The area of the turbulence box size is adjusted to match the cross-section of the nozzle inlet.…”

mentioning

confidence: 99%

Flow and Noise Predictions of Coaxial Jets

Markesteijn¹,

Gryazev²,

Karabasov³

et al. 2020

AIAA Journal

View full text Add to dashboard Cite

Flow and noise solutions of the two Large Eddy Simulation (LES) approaches are evaluated for the jet flow conditions corresponding to a benchmark co-axial jet case from the EU CoJeN (Computation of Coaxial Jet Noise) experiment. The jet is heated and issues for a short-cowl axi-symmetric nozzle with a central body at a transonic speed. The first LES method is based on the Compact Accurately Boundary-Adjusting high-REsolution Technique (CABARET) scheme, for which implementation features include asynchronous time stepping at an optimal Courant-Friedrichs-Lewy (CFL) number, a wall model, and a synthetic turbulence inflow boundary condition. The CABARET LES is implemented on Graphics Processing Units (GPUs). The second LES approach is based on the hybrid 2 Reynolds Averaged Navier-Stokes (RANS)/ Implicit LES method that uses a mixture of high-order Roe and WENO scheme and a wall distance model of the Improved Delayed Detached Eddy Simulation (IDDES) type. The RANS/ILES method is run on an MPI cluster. Two grid generation approaches are considered: the unstructured grid using OpenFOAM utility "snappyHexMesh" (sHM) and the conventional structured multiblock body-fitted curvilinear grid. The LES flow solutions are compared with the experiment and also with solutions obtained from the standard axi-symmetric RANS method using the k- turbulence model. For noise predictions, The LES solutions are coupled with the penetrable surface formation of the Ffowcs Williams-Hawkings method. The results of noise predictions are compared with the experiment and the effect of different LES grids and acoustic integration surfaces is discussed.

show abstract

Scalable Tools for Generating Synthetic Isotropic Turbulence with Arbitrary Spectra

Cited by 65 publications

References 14 publications

Turbulence generation from a stochastic wavelet model

Turbulence generation from a stochastic wavelet model

Generation of three-dimensional turbulent velocity fields on the base of a randomized spectral method

Flow and Noise Predictions of Coaxial Jets

Contact Info

Product

Resources

About