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Direct numerical simulation of turbulence over anisotropic porous media

Published online by Cambridge University Press:  13 October 2017

Y. Kuwata*
Affiliation:
Department of Mechanical Engineering, Osaka Prefecture University, Sakai, Osaka, 599-8531, Japan
K. Suga
Affiliation:
Department of Mechanical Engineering, Osaka Prefecture University, Sakai, Osaka, 599-8531, Japan
*
†Email address for correspondence: kuwata@me.osakafu-u.ac.jp

Abstract

To investigate which component of the anisotropic permeability tensor of porous media influences turbulence over porous walls, direct numerical simulation of anisotropic porous-walled channel flows is performed by the D3Q27 multiple-relaxation-time lattice Boltzmann method. The presently considered anisotropic permeable walls have square pore arrays aligned with the Cartesian axes. Vertical, streamwise and spanwise pore arrays are systematically introduced to the walls to impose anisotropic permeability. Simulations are carried out at a friction Reynolds number of 111 and 230, which is based on the averaged friction velocity of the porous bottom and the smooth top walls. It is found that streamwise and spanwise permeabilities enhance turbulence whilst vertical permeability itself does not. In particular, the enhancement of turbulence is remarkable over porous walls with streamwise permeability. Over streamwise permeable walls, development of high- and low-speed streaks is prevented whilst large-scale intermittent patched patterns of ejection motions are induced. It is revealed by two-point correlation analysis that streamwise permeability allows the development of streamwise large-scale perturbations induced by Kelvin–Helmholtz instability. Spectral analysis reveals that this perturbation contributes to the enhancement of the Reynolds shear stress, leading to significant skin friction of the porous interface. Through the comparison between the two different Reynolds-number cases, it is found that, as the Reynolds number increases, the streamwise perturbation becomes larger and more organized. Consequently, owing to the enhancement of the large-scale perturbation, a significant Reynolds-number dependence of the skin friction of the porous interface can be observed over the streamwise permeable wall. It is also implied that the wavelength of the perturbation can be reasonably scaled by the outer-layer length scale.

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Papers
Copyright
© 2017 Cambridge University Press 
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Table 1.Parameters of the D3Q27 discrete velocity model.

Figure 1

Table 2.Equilibrium moments. $\unicode[STIX]{x1D70C}$, density; $j_{x},j_{y},j_{z}$, momentum; $e$, kinetic energy; $XX$,$WW$, $XY$, $YZ$, $ZX$, second-order tensors; $\unicode[STIX]{x1D711}_{x},\unicode[STIX]{x1D711}_{y},\unicode[STIX]{x1D711}_{z}$, flux of the energy; $\unicode[STIX]{x1D713}_{x},\unicode[STIX]{x1D713}_{y},\unicode[STIX]{x1D713}_{z}$, flux of the square of the energy; $\unicode[STIX]{x1D700}$, square of the energy; $e_{3}$, cube of the energy; $XX_{e},WW_{e}$, product of $XX$ and $WW$ by the energy; $XY_{e},YZ_{e},ZX_{e}$, extra-diagonal second-order moments of the energy; $\unicode[STIX]{x1D70F}_{x},\unicode[STIX]{x1D70F}_{y},\unicode[STIX]{x1D70F}_{z}$, third-order pseudo-vector; $XYZ$, third-order totally antisymmetric tensor.

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Table 3.The $27\times 27$ transformation matrix.

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Figure 1.Computational geometry of porous-walled channel flows.

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Table 4.Characteristic parameters of porous media.

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Table 5.Flow characteristics of the simulation.

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Figure 2.Plane-averaged streamwise mean velocity profiles normalized by $u_{\unicode[STIX]{x1D70F}}^{t}$: (a) in porous and clear flow region; and (b) near the porous interface.

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Figure 3.Reynolds and total shear stress profiles normalized by $u_{\unicode[STIX]{x1D70F}}^{t}$. The thin lines are the profiles of the total shear stress.

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Figure 4.Plane-averaged Reynolds normal stresses normalized by $u_{\unicode[STIX]{x1D70F}}^{t}$: (a) streamwise component, (b) wall-normal component, and (c) spanwise component.

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Figure 5.Comparisons of the mean values between the porous-wall and rough-wall results: (a) $U^{t+}$ and (b) $R_{12}^{t+}$.

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Figure 6.Isosurfaces of the second invariant of the velocity gradient tensor $II^{t+}=0.025$, coloured by the streamwise vorticity; blue–red colours correspond to $-0.25<\unicode[STIX]{x1D714}_{x}^{t+}<0.25$.

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Figure 7.Snapshots of the instantaneous wall-normal vorticity fluctuations normalized by $u_{\unicode[STIX]{x1D70F}}^{p}$ at $y^{p+}\approx 13$.

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Figure 8.Snapshots of the instantaneous ejection distributions normalized by $u_{\unicode[STIX]{x1D70F}}^{p}$ at $y^{p+}\approx 13$.

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Figure 9.Snapshots of the instantaneous sweep distributions normalized by $u_{\unicode[STIX]{x1D70F}}^{p}$ at $y^{p+}\approx 13$.

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Figure 10.Streamwise two-point correlations: (a) streamwise velocity fluctuations $R_{uu,x}$, (b) wall-normal velocity fluctuations $R_{vv,x}$, and (c) pressure fluctuations $R_{pp,x}$.

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Figure 11.Spanwise two-point correlations: (a) streamwise velocity fluctuations $R_{uu,z}$, (b) wall-normal velocity fluctuations $R_{vv,z}$, and (c) pressure fluctuations $R_{pp,z}$.

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Figure 12.Premultiplied streamwise spectra: (a) streamwise velocity fluctuation $E_{uu,x}$ and (b) wall-normal velocity fluctuation $E_{vv,x}$.

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Figure 13.Premultiplied spanwise spectra: (a) streamwise velocity fluctuation $E_{uu,z}$ and (b) wall-normal velocity fluctuation $E_{vv,z}$.

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Figure 14.Premultiplied cospectra normalized by $R_{12}$: (a) streamwise cospectra $E_{uv,x}$ and (b) spanwise cospectra $E_{uv,z}$

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Figure 15.Streamwise mean velocity profiles with porous-wall scaling.

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Figure 16.Zero-plane displacement versus the roughness height.

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Table 6.Characteristic parameters of the streamwise mean velocity: Kármán constant, zero-plane displacement and roughness height.

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Figure 17.Kármán constant distribution versus the ratio of the zero-plane displacement and the boundary-layer thickness of the porous side.

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Figure 18.Plane-averaged Reynolds stresses at $Re_{\unicode[STIX]{x1D70F}}=111$ and $Re_{\unicode[STIX]{x1D70F}}=230$ normalized by $u_{\unicode[STIX]{x1D70F}}^{t}$: (a) streamwise component, (b) wall-normal component, (c) spanwise component, and (d) off-diagonal component.

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Figure 19.Two-point correlations of the streamwise velocity fluctuations at $Re_{\unicode[STIX]{x1D70F}}=111$ and $Re_{\unicode[STIX]{x1D70F}}=230$: (a) streamwise correlation and (b) spanwise correlation.

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Table 7.Streamwise wavelength of the large-scale streamwise perturbation.

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Figure 20.Comparisons of the plane-averaged streamwise mean velocity with porous-wall scaling between the experimental data of Suga et al. (2010) and the present DNS.

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Figure 21.Comparisons of the plane-averaged Reynolds stresses normalized by $u_{\unicode[STIX]{x1D70F}}^{t}$ between the experimental data of Suga et al. (2010) and the present DNS: (a) $R_{11}^{t+}$ and (b) $R_{22}^{t+}$.