UFR 3-35 Test Case

Cylinder-wall junction flow

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General Remark

The experimental and numerical setups applied in this study were described in detail by Schanderl et al. (2017b) (PIV and LES). The experiment is further described by Jenssen (2019), the numerics in Schanderl & Manhart (2016), Schanderl et al. (2017a) and Schanderl & Manhart (2018). Thus, the following shall provide a brief overview only.

Test Case Experiments

In order to provide both numerical and experimental data acquired for the same flow configuration under identical (as good as possible) boundary conditions, we performed a large eddy simulation and a particle image velocimetry experiment. We studied the flow around a wall-mounted slender ($D/z_{0}<0.7$) circular cylinder with a flow depth of $z_{0}=1.5D$. The width of the rectangular channel was $11.7D$ (see Fig. 1). The investigated Reynolds number was approximately $Re_{D}={\frac {u_{\mathrm {b} }D}{\nu }}=39{,}000$, the Froude number was in the subcritical region. As inflow condition we applied a fully-developed open-channel flow.

Fig. 1: Sketch of flow configuration

Experimental set-up

The experimental set-up is shown in Fig. 2. A high-level water tank fed the flume with a constant energy head. After the inlet, a flow straightener, a surface waves damper and vortex generators as recommended by (Counihan 1969) were installed such that the turbulent open-channel flow developed along the entry length of $200D$. A sluice gate at the end of the flume controlled the water depth before the water recirculated driven by a pump. The experimental parameters are listed in Table 1:

Fig. 2: Experimental set-up

Tab. 1: Experimental parameters

Description	Value	Unit
Cylinder diameter $D$	$0.1$	$[\mathrm {m} ]$
Flow depth $z_{0}$	$0.15$	$[\mathrm {m} ]$
Channel width $b$	$1.17$	$[\mathrm {m} ]$
Flow rate $Q$	$0.069$	$[\mathrm {m} ^{3}\mathrm {s} ^{-1}]$
Depth-averaged velocity of approach flow $u_{\mathrm {b} }$	$0.3986$	$[\mathrm {m} \,\mathrm {s} ^{-1}]$
Kinematic viscosity $\nu$	$1.0502\cdot 10^{-6}$	$[\mathrm {m} ^{2}\mathrm {s} ^{-1}]$
Reynolds number $Re_{D}$	$37{,}954$	$[-]$
Reynolds number $Re_{z_{0}}={\frac {u_{\mathrm {b} }\cdot 4R_{\mathrm {hyd} }}{\nu }}={\frac {u_{\mathrm {b} }\cdot 4(b\cdot z_{0})/(2z_{0}+b)}{\nu }}$	$181{,}162$	$[-]$
Reynolds number $Re_{\tau }={\frac {u_{\tau }\cdot z_{0}}{\nu }}$	$2571$	$[-]$

Measurement technique

The experimental data were acquired by conducting planar monoscopic 2D-2C PIV in the vertical symmetry plane upstream of the cylinder. The PIV snapshots were evaluated by the standard interrogation window based cross-correlation of $16\times 16\mathrm {px}$. Doing so, we achieved instantaneous velocity fields of the streamwise ($u$) and the wall-normal ($w$) velocity component. From these data the time-averaged turbulent statistics were calculated in the post-processing. We used a CCD-camera with a $2048\times 2048\mathrm {px}$ square sensor. The size of a pixel was $36.86\mu \mathrm {m}$, therefore the spatial resolution of the images was $2712\mathrm {px} /D$. The size of the interrogation windows was $5.8976\cdot 10^{-3}D$. The temporal resolution was $7.25\mathrm {Hz}$, which is approximately twice the macro time scale $u_{\mathrm {b} }/D=3.9\mathrm {Hz}$. The light sheet was approximately 2mm thick provided by a $532\mathrm {nm}$ Nd:YAG laser. The f-number and the focal length of the lens were $2.8$ and $105\mathrm {mm}$, respectively.

At the measurement section, the flume had transparent walls. Therefore, the laser light, which entered the flow from above could pass with a minimum amount of surface reflections through the bottom wall. However, an acrylic glass plate had to be mounted at the water-air interface to suppress the bow waves of the cylinder and let the light sheet enter the water body perpendicularly (see Fig. 3). The influence of this device at the water surface was tested and considered to be insignificant at the cylinder-wall junction.

Hollow glass spheres were used as seeding and had a diameter of $10\mu \mathrm {m}$. The corresponding Stokes number was $4.7\cdot 10^{-3}$, and therefore, the particles were considered to follow the flow precisely.

The total number of time-steps was $27{,}000$, the time-delay between two image frames of a time-step was $700\mu \mathrm {s}$. Therefore, the total sampling time was $27{,}000/7.25=3724\mathrm {s}$ or $1484D$. During the experiment seeding and other particles accumulated along the bottom plate, which undermined the image quality by increasing the surface reflection. Therefore, the data acquisition was stopped after $1500$ images to allow surface cleaning and to empty the limited capacity of the laboratory PC's RAM. The sampling time of such a batch was $1500/7.25=207\mathrm {s}$ or $82D/u_{b}$.

The data acquisition time and number of valid vectors was validated by the convergence of statistical moments. In the centre of the HV the number valid samples had its minimum. Therefore, the time-series at the centre of the HV was analysed as a reference for the entire flow field. The standard error of the mean was $0.0065$ times the standard deviation, the corresponding error in the fourth central moment is $0.0545$.

The PIV set-up is shown in detail in Fig. 3, including the qualitative size of the field-of-views (FOV) for investigating the approaching boundary layer as well as the flow in front of the wall-mounted cylinder.

Fig. 3: PIV set-up

CFD Code and Methods

We applied our in-house finite-volume code MGLET with a staggered Cartesian grid. The grid was equidistant in the horizontal directions and stretched away from the wall in the vertical direction by a factor smaller than $1.01$. The horizontal grid spacing was four times as large as the vertical one. The time integration was done by applying a third order Runge-Kutta sheme, the spatial approximation by second order central differences and the maximum of the CFL number was in the range of 0.55 to 0.82. To model the cylindrical body, a second order immersed boundary method was applied (Peller et al.2006; Peller 2010). The sub-grid scales were modelled using the Wall-Adapting Local Eddy-Viscosity (WALE) model (Nicoud & Ducros 1999). Around the cylinder, the grid was refined by three locally embedded grids (Manhart 2004), each reducing the grid spacing by a factor of two (see Fig. 4). A grid study by Schanderl & Manhart 2016 shows that the number of grid refinements was sufficient. The resulting grid spacing in the vertical direction at the bottom plate around the cylinder was smaller than approximately 1.6 wall units (based on the local wall-shear stress, see Tab. 2) (Schanderl & Manhart 2016). The fraction of the modelled dissipation is about 30% of the total dissipation rate (Schanderl & Manhart 2018).

The setup simulated was intended to be identical to the experimental one. To model the bottom and side walls, we applied no-slip boundary conditions, whereas the free surface was modelled by a slip boundary condition. Therefore, the Froude number in the LES was infinitesimal and no surface waves occurred. By conducting a precursor simulation a fully-developed turbulent open-channel flow was achieved as inflow condition. The streamwise boundary conditions were periodic, and the precursor domain had a length of 30D (see Fig. 4). The wall-nearest point of the precursor grid had a distance of 7.5 wall units.

Fig. 4: Grid arrangement of the LES (Schanderl 2018)

Tab. 2: Applied grids in the LES

Grid	Level of refinement	Cells per diameter horizontal / vertical	Grid spacing $\Delta {x}^{+}/\Delta {y}^{+}/\Delta {z}_{\mathrm {wall} }^{+}$	Number of grid cells
Precursor	0		$60/60/15$	$44\cdot 10^{6}$
Base	0	$31.25/125$	$60/60/15$	$35\cdot 10^{6}$
Grid 1	1	$62.5/250$	$30/30/7.5$	$80\cdot 10^{6}$
Grid 2	2	$125/500$	$15/15/3.7$	$64\cdot 10^{6}$
Grid 3	3	$250/1000$	$7.5/7.5/1.6$	$177\cdot 10^{6}$

Inflow condition

Figure 5 shows the vertical time-averaged profiles along $z^{+}={\frac {z\cdot u_{\tau }}{\nu }}$ of the

1. streamwise velocity $\langle u^{+}\rangle =\langle u\rangle /u_{\tau }$
2. Reynolds normal stresses $\langle u'u'\rangle /u_{\tau }^{2}$
3. Reynolds normal stresses $\langle w'w'\rangle /u_{\tau }^{2}$
4. Reynolds shear stresses $\langle u'w'\rangle /u_{\tau }^{2}.$

For comparison, the data of Bruns et al. (1992) are included at a comparable Reynolds number based on the momentum thickness $\delta _{2}$.

• 

  Fig. 5 a) streamwise velocity $\langle u^{+}\rangle =\langle u\rangle /u_{\tau }$
• 

  Fig. 5 b) Reynolds normal stresses $\langle u'u'\rangle /u_{\tau }^{2}$

• 

  Fig. 5 c) Reynolds normal stresses $\langle w'w'\rangle /u_{\tau }^{2}$
• 

  Fig. 5 d) Reynolds shear stresses $\langle u'w'\rangle /u_{\tau }^{2}$

The corresponding data sets can be downloaded from below. The first 8 lines belong to the header and are indicated by the #-symbol. For both PIV and LES, each column refers to the following data and is comma separated. For MatLab users, we provide an example script of reading the data at the end of the section Evaluation, which can be used as a hint for reading the inflow data as well.

Tab. 3: Structure of inflow data sets

Column number	1	2	3	4	5	6	7
PIV/LES	${\frac {z}{D}}$	${\frac {\langle u\rangle }{u_{\mathrm {b} }}}$	$z^{+}$	$u^{+}$	${\frac {\langle u'u'\rangle }{u_{\tau }^{2}}}$	${\frac {\langle w'w'\rangle }{u_{\tau }^{2}}}$	${\frac {\langle u'w'\rangle }{u_{\tau }^{2}}}$

• PIV data: Media:UFR3-35_X_inflow_data.txt
• LES data: Media:UFR3-35_C_inflow_data.txt

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Contributed by: Ulrich Jenssen, Wolfgang Schanderl, Michael Manhart — Technical University Munich

Front Page

Description

Test Case Studies

Evaluation

Best Practice Advice

References

© copyright ERCOFTAC 2019