Examination of Flow Sensitivities in Turbulence Model Validation Experiments

Gargiulo, Aldo; Beardsley, Colton; Vishwanathan, Vidya; Fritsch, Daniel J.; Duetsch-Patel, Julie E.; Szőke, Máté; Borgoltz, Aurélien; Devenport, William J.; Roy, Christopher J.; Lowe, K. Todd

doi:10.2514/6.2020-1583

Cited by 12 publications

(3 citation statements)

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“…The bump geometry is defined in detail by Gargiulo et al (2020) and has a design length of 0.93472 m and a height of 0.1869 m. The 2D centerline and centerspan cross-section of the 3D geometry is defined by a fifth-degree polynomial mirrored about x 1 = 0, with a flat top region in the center connecting the two polynomials to form a cruciform. These profiles form cylindrical regions 0.0935 m wide.…”

Section: Beverli Hill Modelmentioning

confidence: 99%

Structural aspects of the attached turbulent boundary layer flow over a hill

et al. 2023

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Three-dimensional turbulent boundary layers under strong pressure gradients and curvature are the rule in real-world flow applications but are typically not well predicted by turbulence models due to isotropic eddy viscosity or equilibrium assumptions. Validation-quality data in complex 3D flows is necessary for continued efforts to improve simulation accuracy. The BeVERLI (Benchmark Validation Experiments for RANS/LES Investigations) Hill bump model, designed specifically for validation experiments, was tested in the Virginia Tech Stability Wind Tunnel to collect validation experiment data on the three-dimensional (3D) boundary layer flow over a 3D hill. Laser Doppler velocimetry measurements on the bump model were used to study the mean flow and turbulence structure and evaluate the impact of pressure gradient and curvature upon the total shear stress in the boundary layer and evaluate the impact of pressure gradient and curvature upon the total shear stress behavior in the near-wall region. From analysis of the BeVERLI Hill flow, including the boundary layer just upstream of the hill, and comparison with the 3D flow around a wing-body junction of Ölçmen et al (2001), it is shown that none of the stations studied exhibit a constant shear stress region over any significant region of the boundary layer. One station on the hill, located in a region Structural Aspects of the Attached Turbulent Boundary Layer Flow Over a Hill with strong spanwise and streamwise pressure gradients, experiences an apparent return to an equilibrium shear stress for x + 2 < 30 due to significantly increased production of u ′ 1 u ′ 2 and u ′2 2 at this station.

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Section: Beverli Hill Modelmentioning

confidence: 99%

Structural aspects of the attached turbulent boundary layer flow over a hill

et al. 2023

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“…𝑖 𝑗 (2.0𝐼 2 − 𝐼 5 + 2.0)+ 𝑇 8 𝑖 𝑗 (𝐼 1 − 𝐼 2 − 𝐼 3 + 6.15)− 𝑇 9 𝑖 𝑗 (𝐼 2 + 𝐼 3 − (𝐼 3 − 0.15) (𝐼 5 − 0.15) − 1.178).…”

Section: Appendix Aunclassified

“…𝑖 𝑗 = 𝑇 1 𝑖 𝑗 (4.0𝐼 2 − 2𝐼 1 + 2.15)+ 𝑇 2 𝑖 𝑗 (𝐼 5 − 𝐼 1 (1.911𝐼 3 − 𝐼 1 + 𝐼 5 ) + 1.0)− 𝑇 4𝑖 𝑗 (2.0𝐼 2 − 12.0)+ 𝑇8 𝑖 𝑗 (𝐼 1 )+ 𝑇9 𝑖 𝑗 (6𝐼 2 + 𝐼 1 𝐼 5 + 18.089).…”

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

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et al. 2022

AIAA SCITECH 2022 Forum

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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,

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