Flow over periodic hills: an experimental study

Rapp, Ch.; Manhart, Michael

doi:10.1007/s00348-011-1045-y

Cited by 111 publications

(123 citation statements)

References 40 publications

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“…The position of the reattachment point at the lowest Reynolds number is x R /h ≈ 5.4 which is in agreement with the value reported in [38]. For Re b =10 595 the reattachment point is located at x R /h ≈ 3.9, which is slightly different from the experimental value (x R /h ≈ 4.21) [55] and from the reference LESOCC simulation (x R /h ≈ 4.69). Finally, for the highest Reynolds number Re b =37 000 the reattachment point is located at x R /h ≈ 3.2 not far from the value of x R /h ≈ 3.68 reported by Chaouat and Schiestel [54] in their hybrid RANS/LES simulation on a grid composed of 1 M points.…”

Section: Qualitative Comparison Of Dg Solutions Atsupporting

confidence: 87%

On the use of a high-order discontinuous Galerkin method for DNS and LES of wall-bounded turbulence

2018

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We assess the performance of a high-order discontinuous Galerkin (DG) approach to simulate wall-bounded turbulent flows for a range of Reynolds numbers. First, a plane channel flow configuration with turbulent heat transfer at Re τ = 640 is considered. Second, a detached flow configuration is investigated. This configuration represents the flow over periodically arranged hills. Four bulk Reynolds numbers Re b are considered: 2 800, 10 595, 19 000, and 37 000. For Re b = 2 800 direct numerical simulation (DNS) is used. Large-eddy simulations (LES) based on the WALE subgrid-scale model are carried out for the higher Re b . The simulation results are compared to reference data from CFD and experiment. hp-convergence analyses are performed which demonstrate the superior performance of increasing the polynomial order as compared to refining the mesh. It appears from this work that the use of a subgrid modelling approach together with local hp-adaptation could greatly improve the accuracy of the solution without penalising the computational cost of the simulation.

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Section: Qualitative Comparison Of Dg Solutions Atsupporting

confidence: 87%

On the use of a high-order discontinuous Galerkin method for DNS and LES of wall-bounded turbulence

2018

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“…The height h of the hills was 50 mm, and the spacing between them was 9h. A detailed description of the setup can be found in Rapp and Manhart (2011). Figure 9 shows the velocity vectors for one time instant downstream of the hill top.…”

Section: Vsj Standard Piv Imagesmentioning

confidence: 99%

Higher order multi-frame particle tracking velocimetry

2013

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Particle tracking velocimetry methods (PTV) have a great potential to enhance the spatial resolution compared to spatial correlation-based methods (PIV). In addition, they are not biased due to inhomogeneous seeding concentration or in-plane and out-of-plane gradients so that the measurement precision can be increased as well. The possibility to simultaneously measure the velocity with the temperature, ph-value, or pressure of the flow at the particle location by means of fluorescent particles is another advantage of PTV. However, at high seeding concentrations, the reliable particle pairing is challenging, and the measurement precision decreases rapidly due to overlapping particle images and wrong particle image pairing. In this paper, it is shown that the particle image information acquired at four or more time steps greatly enhances a reliable particle pairing even at high seeding concentrations. Furthermore, it is shown that the accuracy and precision can be increased by using vector reallocation and displacement estimation using a fit of the trajectory in the case of curved particle paths. The improvements increase the PTV working range as reliable and accurate measurements become possible at seeding concentrations typically used for PIV measurements.

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“…12). For more details see ERCOFTAC QNET-CFD forum under case study UFR 3-30. and Rapp and Manhart (2011). The test section has 10 hills, and the measurements were performed downstream of the seventh hill summit as the flow is almost periodic at this location, e.g., the averaged flow quantities coincide half way between the neighboring hills.…”

Section: Case Descriptionmentioning

confidence: 99%