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Direct numerical simulation of a non-equilibrium three-dimensional turbulent boundary layer over a flat plate

Published online by Cambridge University Press:  09 September 2020

Hiroyuki Abe*
Affiliation:
Japan Aerospace Exploration Agency, Tokyo182-8522, Japan
*
†Email address for correspondence: habe@chofu.jaxa.jp

Abstract

Direct numerical simulations (DNS) are used to examine a spatially developing non-equilibrium three-dimensional turbulent boundary layer (3DTBL) over a flat plate. The present flow is a ‘shear-driven’ 3DTBL owing to a sudden imposition of a surface spanwise velocity ${W_S}$. Particular attention is given to the effects of cross-flow and Reynolds number. In the DNS, three values of the inlet momentum thickness Reynolds number, $R{e_{{\theta _0}}} = 300$, 600 and 900, are used with several values of ${W_S}$. The present largest ${W_S}$ is twice the free-stream velocity ${U_0}$, comparable to the maximum value of the spinning cylinder experiment by Lohmann (Trans. ASME I: J. Fluids Engng, vol. 98, 1976, pp. 354–363). After imposing ${W_S}$, the mean streamwise vorticity ${\overline \varOmega _x}$ increasingly propagates away from the wall where there is close relationship between a deficit of mean streamwise velocity and inviscid skewing (i.e. three-dimensionality). At a downstream station of a 3DTBL, near-plateaus appear in the skin friction coefficients where the magnitudes depend intrinsically on ${W_S}$. The approach to the collateral state is, however, slow for mean streamwise velocity $\overline U$ where the Reynolds shear stress $\overline {uv}$ extracts energy from the mean flow inefficiently. As the Reynolds number increases, the mean velocity magnitude ${Q_r}$ tends to show the log law but with a larger von Kármán constant than in a two-dimensional turbulent boundary layer. Instantaneously, toppling u structures dominate owing to cross-flow and become more prominent with increasing Re. Statistically, the latter spanwise length scale increases linearly with respect to y below y/δ99 = 0.2, which indicates that cross-flow yields a self-similar behaviour.

Information

Type
JFM Papers
Copyright
© The Author(s), 2020. Published by Cambridge University Press
Figure 0

Figure 1.Schematic diagrams: (a) computational domain; and (b) mean velocity and shear-stress components in a 3DTBL.

Figure 1

Table 1.Domain size, grid points, spatial resolution and sampling time period. Note that $\delta_{out}$ denotes the outlet 99% boundary layer thickness.

Figure 2

Table 2.The momentum thickness Reynolds number $R{e_\theta }$ in the 3DTBL ($x/{\theta _0} = 175$) and recovery ($x/{\theta _0} = 300$) regions. The values tabulated have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$.

Figure 3

Figure 2.Distributions of (a) ${C_{f,x}}$, (b) ${C_{f,z}}$ and (c) ${\tan ^{ - 1}}({C_{f,z}}/{C_{f,x}})$ as functions of $x/{\theta _0}$ for $R{e_{{\theta _0}}} = 300$ with ${W_S}/{U_0} = 1$. The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$, 200θ0 and 300θ0.

Figure 4

Figure 3.Distributions of the normalized mean velocity magnitude $Q_r^{}$ for $R{e_{{\theta _0}}} = 300$ with ${W_S}/{U_0} = 1$ at a downstream station of a 3DTBL ($x/{\theta _0} = 350$). The data shown have been obtained with ${L_{x,{W_S}}} = 300{\theta _0}$.

Figure 5

Figure 4.Contours in the x–y plane of the normalized ${\overline \varOmega _x}$, $\partial \overline U /\partial x$ and $\partial \overline W /\partial x$ for $R{e_{{\theta _0}}} = 300$ with ${W_S}/{U_0} = 1$ using ${L_{x,{W_S}}} = 100{\theta _0}$ (a–c), 200θ0 (d–f) and 300θ0 (g–i): (a,d,g) $({\theta _0}/{U_0}){\overline \varOmega _x}$; (b,e,h) $({\theta _0}/{U_0})(\partial \overline U /\partial x)$; and (c,f,i) $({\theta _0}/{U_0})(\partial \overline W /\partial x)$.

Figure 6

Figure 5.Hodograph plots in the 3DTBL region for $R{e_{{\theta _0}}} = 300$ with ${W_S}/{U_0} = 1$: (a) mean velocity hodograph; (b) mean strain-rate hodograph; and (c) Reynolds shear-stress hodograph. The red lines refer to the data at $x/{\theta _0} = 250$ where a near-plateau has been established in ${C_{f,x}}$. The data shown have been obtained with ${L_{x,{W_S}}} = 300{\theta _0}$. In (b), normalization is made with $U_0\ \textrm{and}\ \theta_0.$

Figure 7

Figure 6.Distributions of normalized $\overline U$, $\overline W$, $\overline {uv}$ and $\overline {vw}$ in the 3DTBL region for $R{e_{{\theta _0}}} = 300$ with ${W_S}/{U_0} = 1$: (a) $\overline U /{U_0}$; (b) $\overline W /{U_0}$; (c) $- \overline {uv} /U_0^2$; and (d) $\overline {vw} /U_0^2$. The red lines refer to the data at $x/{\theta _0} = 250$ where a near-plateau has been established in ${C_{f,x}}$. The data shown have been obtained with ${L_{x,{W_S}}} = 300{\theta _0}$.

Figure 8

Figure 7.Distributions of (a) $k/U_0^2$, (b) $\tau /\rho U_0^2$, (c) $\overline \varepsilon {\delta _{99}}/U_0^3$ and (d) ${a_1}$ in the 3DTBL region for $R{e_{{\theta _0}}} = 300$ with ${W_S}/{U_0} = 1$. The red lines refer to the data at $x/{\theta _0} = 250$ where a near-plateau has been established in ${C_{f,x}}$. The data shown have been obtained with ${L_{x,{W_S}}} = 300{\theta _0}$.

Figure 9

Figure 8.Distributions of (a) ${C_{f,x}}$, (b) ${C_{f,z}}$ and (c) ${C_{f,z\,mixed}}$ as functions of $x/{\theta _0}$ for $R{e_{{\theta _0}}} = 300$ with varying ${W_S}$. The data shown have been obtained with ${L_{x,{W_S}}} = 200{\theta _0}$.

Figure 10

Figure 9.Distributions of terms on the right-hand side of (4.2) and (4.5) as functions of $x/{\theta _0}$ for $R{e_{{\theta _0}}} = 300$: (a) ${C_{f,x\,vis}}$, ${C_{f,x\,turb}}$ and ${C_{f,x\,conv}}$ with ${W_S}/{U_0} = 1$; (b) $({{2^{1/2}}/{C_f}^{3/2}} ){C_{f,x\,vis}}$ with varying ${W_S}$; (c) $({{2^{1/2}}/{C_f}^{3/2}} ){C_{f,x\,turb}}$ with varying ${W_S}$; and (d) $({{2^{1/2}}/{C_f}^{3/2}} ){C_{f,z\,turb}}$ with varying ${W_S}$. The data shown have been obtained with ${L_{x,{W_S}}} = 200{\theta _0}$.

Figure 11

Figure 10.Isosurfaces of u and Q for $R{e_{{\theta _0}}} = 300$ with ${W_S}/{U_0} = 0.5$, 1.0 and 1.5 : (a,c,e) red, $u/{U_0} \gt 0.15$; blue, $u/{U_0} \lt - 0.15$; (b) white, $Q\theta _0^2/U_0^2 \gt 0.01$; (d) white, $Q\theta _0^2/U_0^2 \gt 0.02$; (f) white, $Q\theta _0^2/U_0^2 \gt 0.04$. The fluid flows from bottom left to top right. The magnitudes of ${W_S}/{U_0}$ are 0.5 (a,b), 1.0 (c,d) and 1.5 (e,f), respectively. Note that the data below $y/{\delta _{99,0}} \approx 0.2$ have been plotted for highlighting the near-wall structures. The data shown have been obtained with ${L_{x,{W_S}}} = 200{\theta _0}$.

Figure 12

Figure 11.Distributions of $\overline {uu} /U_0^2$ and $\overline {\omega _i^\ast \omega _i^\ast }$ in the 3DTBL region ($x/{\theta _0} = 275$) for $R{e_{{\theta _0}}} = 300$ with varying ${W_S}$: (a) $\overline {uu} /U_0^2$; and (b) $\overline {\omega _i^\ast \omega _i^\ast }$. The data shown have been obtained with ${L_{x,{W_S}}} = 200{\theta _0}$.

Figure 13

Figure 12.Distributions of the inner-normalized Reynolds stresses and the pressure strain terms in the 3DTBL region ($x/{\theta _0} = 275$) for $R{e_{{\theta _0}}} = 300$ with varying ${W_S}$: (a) $\overline {{u^ + }{u^ + }}$; (b) $\overline {{v^ + }{v^ + }}$; (c) $\overline {{w^ + }{w^ + }}$; (d) $-\overline{u^+v^+}$; (e) $\phi _{11}^ +$; (f) $\phi _{22}^ +$; (g) $\phi _{33}^ +$; and (h) $\phi _{12}^ +$. The data shown have been obtained with ${L_{x,{W_S}}} = 200{\theta _0}$.

Figure 14

Figure 13.Distributions of $R{e_\theta }$, $\theta /{\theta _0}$ and ${\theta _z}/{\theta _0}$ as functions of $x/{\theta _0}$: (a) $R{e_\theta }$; (b) $\theta /{\theta _0}$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$ and 2; (c) ${\theta _z}/{\theta _0}$ for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$; and (d) ${\theta _z}/{\theta _0}$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$ and 2. The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$.

Figure 15

Figure 14.Distributions of ${C_{f,x}}$ and ${C_{f,z}}$ as functions of $x/{\theta _0}$: (a) ${C_{f,x}}$ for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$; (b) ${C_{f,x}}$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$ and 2; (c) ${C_{f,z}}$ for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$; and (d) ${C_{f,z}}$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$ and 2. The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$.

Figure 16

Figure 15.Distributions of terms on the right-hand side of (4.2) and (4.5) as functions of $x/{\theta _0}$ for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$: (a) $({{2^{1/2}}/C_f^{3/2}} ){C_{f,x\,vis}}$ and $({{2^{1/2}}/C_f^{3/2}} ){C_{f,z\,vis}}$; and (b) $({{2^{1/2}}/C_f^{3/2}} ){C_{f,x\,turb}}$ and $({{2^{1/2}}/C_f^{3/2}} ){C_{f,z\,turb}}$. The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$.

Figure 17

Figure 16.Distributions of $Q_r^ +$, ${\overline \varepsilon ^ + }$, ${P_k}y/U_\tau ^3$ and $\overline \varepsilon y/U_\tau ^3$ in the 3DTBL region ($x/{\theta _0} = 175$): (a) $Q_r^ +$ for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$ and for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$; (b) ${\overline \varepsilon ^ + }$ or $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$ and for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$; (c) ${P_k}y/U_\tau ^3$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$ and 2; and (d) $\overline \varepsilon y/U_\tau ^3$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$ and 2. The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$. Also plotted for comparison are the DNS data of a ZPG 2DTBL for $R{e_\theta } = 1000$ obtained in the present work.

Figure 18

Figure 17.Contours in the y–z plane of u (colour) and a positive value of Q (line) in the 3DTBL region ($x/{\theta _0} = 175$) for $R{e_{{\theta _0}}} = 300$, 600 and 900: (a) $u/U_0\ \textrm{for}\ R{e_{{\theta _0}}} = 300$ with ${W_S}/{U_0} = 1$; (b) $u/U_0\ \textrm{for}\ R{e_{{\theta _0}}} = 600$ with ${W_S}/{U_0} = 1$; (c) $u/U_0\ \textrm{for}\ R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$; and (d) $u/U_0\ \textrm{for}\ R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$. The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$.

Figure 19

Figure 18.Wall-normal two-point correlations for $R{e_{{\theta _0}}} = 300$ with ${W_S}/{U_0} = 1$: (a) ${R_{uu}} ({y_r},y)$; and (b) ${R_{ww}}({y_r},y)$. The averaging is based on a time period t+ ≈ 2332. The data have been obtained in both the 2DTBL and 3DTBL regions ($x/{\theta _0} = 50$ and 175) at two reference stations (i.e. ${y_r}/{\delta _{99}} \approx 0.1$ and 0.4). The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$.

Figure 20

Figure 19.Contours in the ${\lambda _z}-y$ plane of normalized premultiplied spanwise u spectra ${k_z}{\phi _{uu}}({k_z})$, uv co-spectra ${k_z}C{o_{uv}}({k_z})$ and weighted uv co-spectra $- 4{k_z}(y/{\delta _{99}})C{o_{uv}}({k_z})(1 - y/{\delta _{99}})$ in the 2DTBL and 3DTBL regions ($x/{\theta _0} = 50$ and 175) for $R{e_{{\theta _0}}} = 300$ with ${W_S}/{U_0} = 1$: (a) ${k_z}{\phi _{uu}}({k_z})/U_0^2$ (line) and ${k_z}C{o_{uv}}({k_z})/U_0^2$ (colour) at $x/{\theta _0} = 50$; (b) ${k_z}{\phi _{uu}}({k_z})/U_0^2$ (line) and ${k_z}C{o_{uv}}({k_z})/U_0^2$ (colour) at $x/{\theta _0} = 175$; (c) $- 4{k_z}(y/{\delta _{99}})C{o_{uv}}({k_z})(1 - y/{\delta _{99}})/U_0^2$ at $x/{\theta _0} = 50$; and (d) $- 4{k_z}(y/{\delta _{99}})C{o_{uv}}({k_z})(1 - y/{\delta _{99}})/U_0^2$ at $x/{\theta _0} = 175$. The averaging is based on a time period t+ ≈ 2332. The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$.

Figure 21

Figure 20.One-dimensional premultiplied spanwise u spectra at $y/{\delta _{99}} = 0.2$ of a 3DTBL and the most energetic spanwise scales, ${\lambda _{z,max}}$, obtained from peaks of premultiplied spanwise spectra below $y/{\delta _{99}} = 0.2$: (a) ${k_z}{\phi_{uu}}\left( {{k_z}} \right)/\overline {uu}$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$ and 2; (b) ${\lambda_{z,max}}/{\delta_{99}}$ for u for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$ and 2; and (c) ${\lambda_{z,max}}/{\delta_{99}}$ for w for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$. In (a), the spectra are compared with those in a turbulent channel flow of Abe et al. (2018) (black solid line) and Hoyas & Jiménez (2008) (black dashed line) for h+ = 1020 and 2003 at y/h = 0.2, respectively. Also included are the spectra of Tomkins & Adrian (2005) in a ZPG TBL for δ+ = 2216 at y/δ = 0.2 (circle) and those of Ahn et al. (2015) in a turbulent pipe for R+ = 3008 at y/R = 0.1 (triangle). In (b,c), the dashed lines denote the linear fittings. In (a–c), the data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$.

Figure 22

Figure 21.Contours in the x–z plane of u (colour) (a,c,e) and w (colour) (b,d,f) together with those of a positive value of Q (line) in 2DTBLs and 3DTBLs: (a) $u/U_0$ in a 2DTBL for $R{e_\theta } \approx 1000$; (b) $w/U_0$ in a 2DTBL for $R{e_\theta } \approx 1000$; (c) $u/U_0$ in a 3DTBL for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$; (d) $w/U_0$ in a 3DTBL for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$; (e) $u/U_0$ in a 3DTBL for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$; and (f) $w/U_0$ in a 3DTBL for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$. In (c–f), structures in the 3DTBL region have been visualized with an enlarged view; the data shown in these panels have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$. In (c,d) and (e,f), the solid lines denotes the direction of $\alpha ={-} 45^\circ$ and $- 60^\circ$, respectively, which correspond to the surface shear-stress direction in the collateral state.

Figure 23

Figure 22.Distributions of the outer-normalized $- \overline {uv}$, the correlation coefficient $- {R_{uv}}$, the turbulent eddy viscosity ratio ${\nu_{t,z}}/{\nu_{t,x}}$ and the structure parameter ${a_1}$ in the 3DTBL region ($x/{\theta _0} = 175$): (a) $- \overline {uv} /U_0^2$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$ and 2; (b) ${\nu_{t,z}}/{\nu_{t,x}}$ for$R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$ and 2; (c) $- {R_{uv}}$ for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$ and $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$; and (d) ${a_1}$ for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$ and $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$. The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$. Also plotted for comparison are the DNS data of a ZPG 2DTBL for $R{e_\theta } = 1000$ obtained in the present work.

Figure 24

Figure 23.Distributions of the normalized mixing and dissipation lengths (${\ell _m}$ and ${\ell _d}$) and Reynolds normal stresses in the 3DTBL region ($x/{\theta _0} = 175$) for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$ and for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$: (a) ${\ell _m}/{\delta _{99}}$; (b) ${\ell _d}/{\delta _{99}}$; (c) $\overline {uu} /U_0^2$; and (d) $\overline {vv} /U_0^2$. In (c,d), the triangle denotes the experimental data of Kiesow & Plesniak (2003) for $R{e_\theta } = 1450$. The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$. Also plotted for comparison are the DNS data of a ZPG 2DTBL for $R{e_\theta } = 1000$ obtained in the present work.

Figure 25

Figure 24.Distributions of the normalized $Q_r^{}$, ${\ell _m}$, k, ${p_{rms}}$ in the recovery region ($x/{\theta _0} = 300$): (a) $Q_r^ +$ for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$ and $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$; (b) ${\ell _m}/{\delta _{99}}$ for $R{e_{{\theta _0}}} = 300$, 600 and 900 with ${W_S}/{U_0} = 1$ and for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$; (c) ${k^ + }$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$ and 2; and (d) $p_{rms}^ +$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 1$ and 2. The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$. Also plotted for comparison are the DNS data of a ZPG 2DTBL for $R{e_\theta } = 1000$ obtained in the present work.

Figure 26

Figure 25.Contours in the y–z plane of u and p (colour) and a positive value of Q (line) in the recovery region compared with those in a ZPG 2DTBL: (a) $u/U_0$ for a ZPG 2DTBL for $R{e_\theta } = 1000$; (b) $u/U_0$ at $x/{\theta _0} = 300$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$; and (c) $p/\rho U_0^2$ at $x/{\theta _0} = 300$ for $R{e_{{\theta _0}}} = 900$ with ${W_S}/{U_0} = 2$. The data shown have been obtained with ${L_{x,{W_S}}} = 100{\theta _0}$.