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Integral methods for friction decomposition and their extensions to rough-wall flows

Published online by Cambridge University Press:  29 April 2024

Wen Zhang
Affiliation:
Guangdong Provincial Key Laboratory of Turbulence Research and Applications, Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen 518055, PR ChinaGuangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications, Southern University of Science and Technology, Shenzhen 518055, PR China
Xiang I.A. Yang*
Affiliation:
Mechanical Engineering, Pennsylvania State University, PA 16802, USA
Peng Chen
Affiliation:
Guangdong Provincial Key Laboratory of Turbulence Research and Applications, Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen 518055, PR ChinaGuangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications, Southern University of Science and Technology, Shenzhen 518055, PR China
Minping Wan*
Affiliation:
Guangdong Provincial Key Laboratory of Turbulence Research and Applications, Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen 518055, PR ChinaGuangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications, Southern University of Science and Technology, Shenzhen 518055, PR China
*
†Email addresses for correspondence: xzy48@psu.edu, wanmp@sustech.edu.cn
†Email addresses for correspondence: xzy48@psu.edu, wanmp@sustech.edu.cn

Abstract

A primary objective of integral methods, such as the momentum integral method, is to discern the physical processes contributing to skin friction. These methods encompass the momentum, kinetic energy and angular momentum integrals. This paper reformulates existing integrals based on the double-averaged Navier–Stokes equations, and extends their application to flows over rough walls. Our derivation yields distinct decompositions for the bottom-wall viscous friction coefficient, denoted as $C_S$, and the roughness element drag coefficient $C_R$. The decompositions comprise three terms: a viscous term, a turbulent term and a roughness (dispersive) term – regardless of the flow configuration, be it channel or boundary layer. Notably, when these integrals are evaluated for laminar flow scenarios, only the viscous term remains significant. In addition, we elucidate the spatial distributions of the terms within these decompositions. To demonstrate the practicality of our formulations, we apply them to analyse data from direct numerical simulations of turbulent half-channel flows. These flows feature aligned and staggered cubical roughness at various packing densities. Our analyses, based on kinetic-energy-oriented decompositions, reveal that when the surface coverage density $\lambda _p$ is small, the dominant terms within the decompositions are the viscous and turbulent terms. With increasing $\lambda _p$, the viscous dissipation term decreases, while the turbulent production term increases and then decreases. These variations arise from a subdued near-wall cycle and the development of a shear layer at the height of the cubes.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1.(a) An illustration of the multi-connected area for the spatial integration in the roughness layer. The planar area $A_0$ is bounded by the dashed line. The fluid area $A_f$ is blue and surrounds the white, roughness-occupied area. Their ratio $A_f/A_0$ gives the roughness porosity $\phi$. The fluid boundary $S$ consists of the outer boundary (dashed) and the inner boundary (solid). (b) An illustration of the roughness planar area $A_p$, i.e. the red area under the roughness elements. The ratio $A_p/A_0$ gives the planar coverage density $\lambda _p$.

Figure 1

Figure 2.Schematic of flow over a rough surface: $f_x$, $I_x$, $\tau _S$, $\tau _R$ are the external forces; $\tau =\phi \langle \nu \,\partial \bar {u}_1/\partial x_3 \rangle - \phi \langle \overline {u_1'u_3'} \rangle - \phi \langle \widetilde {\bar {u}}_1\widetilde {\bar {u}}_3 \rangle$ is the internal fluid stress.

Figure 2

Table 1.Values of $U_{w,S}$ and $U_{w,R}$ for some special flow scenarios. We assume that the flows are fully developed. ZPGBL is short for zero pressure gradient boundary layer.

Figure 3

Table 2.Examples of $l_{S}$ and $l_{R}$ in extreme cases; ZPGBL is short for zero pressure gradient boundary layer.

Figure 4

Table 3.Examples of $\alpha _{S}$ and $\alpha _{R}$ in extreme cases; ZPGBL is short for zero pressure gradient boundary layer.

Figure 5

Figure 3.Schematic of the (a) aligned and (b) staggered arrangements of roughness arrays. The flow is from left to right.

Figure 6

Table 4.The DNS details: $Re_\tau$ is the friction Reynolds number, $\lambda _p$ is surface coverage density, $s$ is the spacing between two neighbouring roughness elements, $h$ is roughness height, $n_x$ and $n_y$ are the roughness element numbers in the streamwise and spanwise directions, $L_x$, $L_y$ and $L_z$ are the domain sizes in the streamwise, spanwise and wall-normal directions, respectively, and $N_x$, $N_y$ and $N_z$ are the grid numbers in the corresponding directions.

Figure 7

Figure 4.Drag coefficients as functions of the roughness surface coverage density $\lambda _p$: (a) surface skin friction coefficient $C_S$; (b) element drag coefficient $C_R$. The black squares with solid lines represent the aligned arrangement, and the red circles with dash-dotted lines represent the staggered arrangement.

Figure 8

Figure 5.The wall velocity (a) $U_{w,S}$ as defined in (4.2), (b) $U_{w,R}$ as defined in (4.4). The black squares with solid lines represent the aligned arrangement, and the red circles with dash-dotted lines represent the staggered arrangement. The horizontal line is at $U_{w}/U_b=1$.

Figure 9

Figure 6.Kinetic-energy-based decomposition of drag coefficient: (a) the wall skin friction coefficient $C_S$ per (4.3); (b) the element drag coefficient $C_R$ per (4.5). The decompositions contain contributions from the viscous dissipation (squares, denoted as $V$ in the figure), the turbulent production (circles, denoted as $T$ in the figure), and the wake production (triangles, denoted as $D$ in the figure). The black symbols with solid lines are for aligned (A) cube arrays, and the red symbols with dash-dotted lines are for staggered (S) cube arrays.

Figure 10

Figure 7.The location of the rotation axis (a) $l_S$ as defined in (4.7), and (b) $l_R$ as defined (4.9). The horizontal lines are at $l/\delta =0.5$.

Figure 11

Figure 8.Angular-momentum-based decompositions of (a) the wall skin friction coefficient $C_S$ as in (4.8),(b) the element drag coefficient $C_R$ as in (4.10). The decompositions contain contributions from the viscous stress (squares), the turbulent stress (circles) and the dispersive stress (triangles). The black symbols with solid lines are for aligned cube arrays, and the red symbols with dash-dotted lines are for staggered cube arrays.

Figure 12

Figure 9.Plots of (a) $\alpha _S$ as defined in (4.12), and (b) $\alpha _R$ as defined in (4.14). The horizontal lines in (a,b) are at $\alpha _S=1$ and $\alpha _R=-2$, respectively.

Figure 13

Figure 10.Momentum-based decomposition of (a) the wall skin friction coefficient $C_S$ per (4.13), and(b) the element drag coefficient $C_R$ per (4.15). The decompositions contain contributions from the viscous stress (squares), the turbulent stress (circles) and the dispersive stress (triangles). The black symbols with solid lines are for aligned cube arrays, and the red symbols with dash-dotted lines are for staggered arrays.

Figure 14

Figure 11.Plots of (a,b) $\phi \langle \mathcal {D}_{m,S}\rangle$, (c,d) $\phi \langle \mathcal {P}_{t,S} \rangle$, (e, f) $\phi \langle \mathcal {P}_{d,S} \rangle$ as defined in (7.1a–c) for the (a,c,e) aligned and (b,d, f) staggered cube arrays, with $\lambda _p$ increasing from 0.11 % (dark blue) to 11 % (light blue). The terms are premultiplied such that the area under a curve represents the integral of the terms. The arrows indicate the direction of increasing $\lambda _p$.

Figure 15

Figure 12.Plots of (a,b) $\langle \mathcal {D}_{m,S} \rangle _{23}$, (c,d) $\langle \mathcal {P}_{t,S} \rangle _{23}$, (e, f) $\langle \mathcal {P}_{d,S} \rangle _{23}$, for (a,c,e) results for A20, and (b,d, f) results for A05. The dashed lines indicate the locations of the cubical roughness. The dash-dotted line is at 0.

Figure 16

Figure 13.Plots of (a,b) $\langle \mathcal {D}_{m,S} \rangle _{13}$, (c,d) $\langle \mathcal {P}_{t,S} \rangle _{13}$, (e, f) $\langle \mathcal {P}_{d,S} \rangle _{13}$. The dashed lines indicate the locations of the cubical roughness. The dash-dotted line is at 0.