UFR 3-36: Difference between revisions
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=== Underlying Flow Regime 3-36 === | === Underlying Flow Regime 3-36 === | ||
= Abstract = | = Abstract = | ||
The UFR studied here, is a Turbulent Boundary layer (TBL) subjected to an adverse pressure gradient (APG) inducing flow separation on a smooth curved surface. The physically and industrially significant flow phenomenon | The Underlying Flow Regime (UFR) studied here, is a Turbulent Boundary layer (TBL) subjected to an adverse pressure gradient (APG) inducing flow separation on a smooth curved surface. The physically and industrially significant flow phenomenon remains challenging to predict with state-of-the-art RANS turbulence models despite the numerous existing experimental and numerical studies. Popular examples are the 2D NASA Wall-mounted Hump of Greenblatt et al. [‌[[Lib:UFR_3-36_References#1|1]]][‌[[Lib:UFR_3-36_References#2|2]]] as well as the curved backward facing step [‌[[Lib:UFR_3-36_References#3|3]]][‌[[Lib:UFR_3-36_References#4|4]]]. For both cases, experimental data, LES/DNS-data as well as results from RANS turbulence models exist [‌[[Lib:UFR_3-36_References#4|4]]][‌[[Lib:UFR_3-36_References#5|5]]]. | ||
In contrast to the latter test cases, the UFR described here was designed by the German Aerospace Center (DLR) as a purely numerical test case that cannot be directly transferred to a wind tunnel experiment. The geometry is part of a family of four different geometries, each with two different Reynolds numbers (<math>{Re_H=78490}</math> and <math>{Re_H=136504}</math>) based on the step height H. The objective is to provide a test case suitable for DNS computations to generate a comprehensive database that can be exploited by data-driven approaches employing Machine Learning (ML). The final designs are based on a study applying several state-of-the-art Reynold-Averaged Navier-Stokes (RANS) models as well as on an experimental test case designed by NASA [‌[[Lib:UFR_3-36_References#6|6]]]. | |||
From the four configurations designed for the purpose, only one is presented in this UFR for which DNS data is made available by the University of Bergamo. | |||
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Revision as of 10:09, 3 November 2022
HiFi-TURB-DLR rounded step
Semi-confined Flows
Underlying Flow Regime 3-36
Abstract
The Underlying Flow Regime (UFR) studied here, is a Turbulent Boundary layer (TBL) subjected to an adverse pressure gradient (APG) inducing flow separation on a smooth curved surface. The physically and industrially significant flow phenomenon remains challenging to predict with state-of-the-art RANS turbulence models despite the numerous existing experimental and numerical studies. Popular examples are the 2D NASA Wall-mounted Hump of Greenblatt et al. [1][2] as well as the curved backward facing step [3][4]. For both cases, experimental data, LES/DNS-data as well as results from RANS turbulence models exist [4][5].
In contrast to the latter test cases, the UFR described here was designed by the German Aerospace Center (DLR) as a purely numerical test case that cannot be directly transferred to a wind tunnel experiment. The geometry is part of a family of four different geometries, each with two different Reynolds numbers ( and ) based on the step height H. The objective is to provide a test case suitable for DNS computations to generate a comprehensive database that can be exploited by data-driven approaches employing Machine Learning (ML). The final designs are based on a study applying several state-of-the-art Reynold-Averaged Navier-Stokes (RANS) models as well as on an experimental test case designed by NASA [6].
From the four configurations designed for the purpose, only one is presented in this UFR for which DNS data is made available by the University of Bergamo.
Contributed by: Erij Alaya and Cornelia Grabe — Deutsches Luft-und Raumfahrt Zentrum (DLR)
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