UFR 3-33 Evaluation: Difference between revisions
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The shape of the instantaneous vortices listed above are depending on the shedding type. In order to determine the kind and frequency of the shedding processes the velocity spectra of two monitoring points <math>P_1</math> and <math>P_2</math>is plotted (see Fig. 3). Both points are located in the wake (see their position in Fig. 3(b) and Fig. 3(c)) and chosen based on the analysis of Manhart (1998). At these two locations the dominant shedding frequencies are clearly visible. In order to be sure to capture all frequencies of the wake flow and to get smooth velocity spectra, the data have to be collected with an adequate sampling rate during a long time period. Therefore, measurements are more appropriate than LES predictions for this purpose. The measurements include a sampling rate of 1 kHz and are collected over a period of 30 minutes with the hot-film probe described in Section. | The shape of the instantaneous vortices listed above are depending on the shedding type. In order to determine the kind and frequency of the shedding processes the velocity spectra of two monitoring points <math>P_1</math> and <math>P_2</math>is plotted (see Fig. 3). Both points are located in the wake (see their position in Fig. 3(b) and Fig. 3(c)) and chosen based on the analysis of Manhart (1998). At these two locations the dominant shedding frequencies are clearly visible. In order to be sure to capture all frequencies of the wake flow and to get smooth velocity spectra, the data have to be collected with an adequate sampling rate during a long time period. Therefore, measurements are more appropriate than LES predictions for this purpose. The measurements include a sampling rate of 1 kHz and are collected over a period of 30 minutes with the hot-film probe described in Section [http://qnet-ercoftac.cfms.org.uk/w/index.php/UFR_3-33_Test_Case#Constant_temperatur_anemometer Constant temperatur anemometer]. | ||
[[Image:UFR3-33_unsteady_velocity_spectra.png|x600px]] | [[Image:UFR3-33_unsteady_velocity_spectra.png|x600px]] |
Revision as of 08:16, 25 January 2016
Turbulent flow past a smooth and rigid wall-mounted hemisphere
Semi-confined flows
Underlying Flow Regime 3-33
Evaluation
Unsteady results
Based on the experimental and numerical unsteady data the flow field is characterized using the systematic classification map of the unsteady flow patterns given by Savory and Toy (1986) (see Fig. 1). Seven regions are highlighted:
- (1) Upstream the hemisphere the horseshoe vortex system dominates. The hemispherical bluff body acts as a barrier, leads to positive pressure gradient, so that the boundary layer separates from the ground forming this the horseshoe vortex system.
- (2) The stagnation area is located close to the lower front surface of the hemisphere, where the stagnation point is found at the surface at an angle of about (definition of in Fig. 1).
- (3) Then, the flow is accelerated along the hemisphere. Therfore, it is called the acceleration area. It results to a high level of vorticity near the hemispherical surface.
- (4) At an angle of the flow detaches along a separation line.
- (5) As a consequence of the flow separation a recirculation area appears and is cut from the outer field by a dividing line.
- (6) Strong shear layer vorticity can be observed leading to the production of Kelvin-Helmholtz vortices which travel downstream in the flow field.
- (7) To close the recirculation area the flow reattaches at the reattachment point. In this region the splatting effect occurs, redistributing momentum from the wall-normal direction to the streamwise and spanwise directions.
Fig. 1: Visualization of flow regions and characteristic flow features of the flow past the hemisphere: (1) horseshoe vortex system, (2) stagnation area, (3) acceleration of the flow, (4) separation point, (5) dividing streamline, (6) shear layer vorticity, (7) reattachment point.
The 3D geometry generates a 3D flow field illustrated in Fig. 2. The complex flow pattern are visualized using iso-surfaces of the pressure fluctuations () as recommended by Garcia-Villalba et al. (2009):
- Just upstream the bluff body the horseshoe vortex system dominates and leads to necklace-vortices that stretch out on both sides into the wake region.
- After detaching along the separation line the flow rolls up.
- In the wake these small roll-up vortices interact together and/or with the horseshoe vortices conducting to the formation of big entangled vortical hairpin-structures. These pattern travel downtream forming a vortex chain. Schematic 3D sketches and explanations of the formation of the hairpin-structures around and behind the hemisphere can be found in the literature (Tamai et al., 1987, Acarlar and Smith, 1987).
Fig. 2: Snapshot of unsteady vortical structures visualized by utilizing the iso-surfaces of the pressure fluctuations () colored by the spanwise instantaneous velocity.
The shape of the instantaneous vortices listed above are depending on the shedding type. In order to determine the kind and frequency of the shedding processes the velocity spectra of two monitoring points and is plotted (see Fig. 3). Both points are located in the wake (see their position in Fig. 3(b) and Fig. 3(c)) and chosen based on the analysis of Manhart (1998). At these two locations the dominant shedding frequencies are clearly visible. In order to be sure to capture all frequencies of the wake flow and to get smooth velocity spectra, the data have to be collected with an adequate sampling rate during a long time period. Therefore, measurements are more appropriate than LES predictions for this purpose. The measurements include a sampling rate of 1 kHz and are collected over a period of 30 minutes with the hot-film probe described in Section Constant temperatur anemometer.
Fig. 3: Velocity spectra at the monitoring points and in the wake regime of the hemisphere.
Fig. 4: Vortex shedding from the top of the hemisphere visualized by the pressure fluctuations of the LES in the symmetry plane.
Fig. 5: Visualization of the two vortex shedding types present in the wake behind the hemisphere.
Comparison between numerical and experimental time-averaged results
Data files
Experimental data
Numerical data
Contributed by: Jens Nikolas Wood, Guillaume De Nayer, Stephan Schmidt, Michael Breuer — Helmut-Schmidt Universität Hamburg
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