Assessing Numerical Aspects of Transitional Flow Simulations Using the RANS Equations

Lopes, Rui; Eça, Luís; Vaz, Guilherme; Kerkvliet, Maarten

doi:10.1080/10618562.2020.1870962

Cited by 9 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We know from RANS modeling that the location of transition strongly depends on the turbulence quantities, and therefore on the decay of t from the inlet (see, e.g., Refs. [45] and [46]). This effect is limited for RANS simulations of high Reynolds number flows, where a "fully turbulent" solution is assumed, but its relative importance increases with decreasing Reynolds number.…”

Section: Ffiffiffiffi Ffi Kl P Equationmentioning

confidence: 98%

The Development of a Partially Averaged Navier–Stokes KSKL Model

Klapwijk

Lloyd

Vaz³

2022

Journal of Fluids Engineering

View full text Add to dashboard Cite

A new partially averaged Navier-Stokes (PANS) closure is derived based on the KSKL model. The aim of this new model is to incorporate the desirable features of the KSKL model, compared to the SST model, into the PANS framework. These features include reduced eddy-viscosity levels, a lower dependency on the cell height at the wall, well-defined boundary conditions, and improved iterative convergence. As well as the new model derivation, the paper demonstrates that these desirable features are indeed maintained, for a range of modeled-to-total turbulence kinetic energy ratios (f_k), and even for multiphase flow.

show abstract

Section: Ffiffiffiffi Ffi Kl P Equationmentioning

confidence: 98%

The Development of a Partially Averaged Navier–Stokes KSKL Model

Klapwijk

Lloyd

Vaz³

2022

Journal of Fluids Engineering

View full text Add to dashboard Cite

show abstract

“…Thorough code verification is performed for all releases of ReFRESCO [45]. Earlier applications of ReFRESCO in the NATO context can be found in [46][47][48][49][50][51][52]. In the present simulations, a single-phase, incompressible fluid was adopted.…”

Section: Numerical Solver Boundary Conditions and Turbulence Modelsmentioning

confidence: 99%

Computations of the BeVERLI Hill Three-dimensional Separating Flow Model Validation Cases

Gargiulo

Ozoroski

Hallock

et al. 2022

AIAA SCITECH 2022 Forum

Self Cite

View full text Add to dashboard Cite

The BeVERLI (Benchmark Validation Experiment for RANS/LES Investigations) Hill project aims at producing a detailed experimental database of three-dimensional non-equilibrium turbulent boundary layers with various levels of separation while meeting the most exacting requirements of computational fluid dynamics validation as per Oberkampf and Smith [1]. A group of the Science and Technology Organization (STO) of the North Atlantic Treaty Organization (NATO) entitled NATO AVT-349 -"Non-Equilibrium Turbulent Boundary Layers in High Reynolds Number Flow at Incompressible Conditions" has recently considered the BeVERLI Hill case. Their goal is to advance the accuracy and range of prediction models for high Reynolds number non-equilibrium boundary layers. This highly collaborative and international group comprised of various academic, governmental, and industrial institutions has performed several Reynolds-averaged Navier-Stokes (RANS) simulations of the BeVERLI Hill using different grids, solvers, and turbulence models. The resulting solutions and available experimental data are presented in this paper to summarize and highlight key features, sensitivities, and the current predictive capability of RANS for the BeVERLI Hill case. The results suggest important sensitivities to Reynolds number, grid density, iterative converge,

show abstract

“…Lopes vd. [15] ReFRESCO yazılımını [16] kullanarak γ-Reθ geçiş modelinin taşınım denklemlerinde kullanılan farklı ayrıklaştırma şemalarının etkisini NACA 0012 airfoil, Eppler 387 airfoil ve 6:1 küremsi geometrileri kullanarak göstermiştir. Çalışma, geçiş modeli kullanıldığında türbülans kinetik enerji (k) ve özgül yayılım oranı () parametrelerinin çözümünde birinci-derece akış yönünde (İng.…”

Section: Introductionunclassified

Effect of Turbulence Intensity on Transition Location Estimation Using Local Correlation Transition Model

ATİK

2022

DÜMF MD

View full text Add to dashboard Cite

Aerodynamic parameters are among the most important parameters in flight performance analyses of air/sea vehicles. Free stream turbulence intensity has significant importance on aerodynamic parameters obtained with computational fluid dynamic analyses and wind tunnel tests measurements. In this study, the effect of free stream turbulence intensity on the transition locations of spheroid geometry using with the widely accepted local correlation transition model. The computations are performed at 6.5 x 106 Reynolds number with 0 and 5 degree angle of attacks. The computations at 5 degree angle of attack are compared with an available experimental study. The effect of free stream turbulence intensity is investigated with axial force coefficient, normal force coefficient, and surface friction coefficient distributions. It is seen that axial and normal force coefficients increase with increasing free stream turbulence intensity. The differences in force coefficients obtained with the free stream intensity range used in the study shall create noteworthy effects in flight performance analyses. When surface friction coefficients are investigated, the transition model estimates the transition locations earlier while free stream turbulence intensity increases as expected. However, the transition front geometry is obtained significantly different with respect to the experimental results.

show abstract

Assessing Numerical Aspects of Transitional Flow Simulations Using the RANS Equations

Cited by 9 publications

References 23 publications

The Development of a Partially Averaged Navier–Stokes KSKL Model

The Development of a Partially Averaged Navier–Stokes KSKL Model

Computations of the BeVERLI Hill Three-dimensional Separating Flow Model Validation Cases

Effect of Turbulence Intensity on Transition Location Estimation Using Local Correlation Transition Model

Contact Info

Product

Resources

About