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Streamwise self-similarity and log scaling in turbulent boundary layers

Published online by Cambridge University Press:  19 July 2018

Shivsai Ajit Dixit*
Affiliation:
Indian Institute of Tropical Meteorology, Pashan, Pune-411008, India
O. N. Ramesh
Affiliation:
Department of Aerospace Engineering, Indian Institute of Science, Bengaluru-560012, India
*
†Email address for correspondence: sadixit@tropmet.res.in

Abstract

High Reynolds number is thought to be a fundamental condition essential for the occurrence of log scaling in turbulent boundary layers. However, while log variation of mean velocity is seen to occur at moderate Reynolds numbers in the traditional boundary layer literature, log variations of higher-order moments are evident only at much higher Reynolds numbers, as reported in recent experiments. This observation suggests that, underlying the occurrence of log scaling in turbulent boundary layers, there exists a more fundamental condition (apart from the largeness of Reynolds number) – the requirement of self-similar evolution of a mean-flow quantity of interest along a mean-flow streamline, i.e. the mean advection of the scaled mean quantity of interest is required to be zero. Experimental data from the literature provide strong support for this proposal.

Information

Type
JFM Rapids
Copyright
© 2018 Cambridge University Press 
Figure 0

Figure 1.Log scaling in high-$Re$ TBL flows from the literature. Profiles of (a) mean velocity $\langle u_{+}\rangle$, variance $\langle u_{+}^{\prime 2}\rangle$ in the $x$ direction, wall-normal ($y$ direction) variance $\langle v_{+}^{\prime 2}\rangle$, spanwise ($z$ direction) variance $\langle w_{+}^{\prime 2}\rangle$ and Reynolds shear stress $-\langle u_{+}^{\prime }v_{+}^{\prime }\rangle$ at $\unicode[STIX]{x1D6FF}_{+}=10\,768$ (case TBHM1 of table 1; see Talluru et al.2014), and (b) $\langle u_{+}\rangle$, $\langle u_{+}^{\prime 2}\rangle$ and third-order moment $\langle u_{+}^{\prime 3}\rangle ^{2/3}$ at $\unicode[STIX]{x1D6FF}_{+}=72526$ (case VHS7 of table 1; see Vallikivi et al.2015). The third moment data are reconstructed from figures 4(a) and 9(a) of Vallikivi et al. The wall-normal distance is expressed in outer coordinates $\unicode[STIX]{x1D702}=y/\unicode[STIX]{x1D6FF}$, and $u_{\unicode[STIX]{x1D70F}}=\sqrt{\unicode[STIX]{x1D70F}_{w}/\unicode[STIX]{x1D70C}}$ is the friction velocity, $\unicode[STIX]{x1D70F}_{w}$ is the wall-shear stress, $\unicode[STIX]{x1D70C}$ and $\unicode[STIX]{x1D708}$ are respectively the density and kinematic viscosity of the fluid, and the boundary layer thickness $\unicode[STIX]{x1D6FF}=\unicode[STIX]{x1D6FF}_{99}$ is defined as the wall-normal distance where $\langle u\rangle$ becomes $99\,\%$ of the free-stream velocity $u_{\infty }$ (see table 1). The subscript $+$ denotes non-dimensionalization using $u_{\unicode[STIX]{x1D70F}}$ for velocities and $u_{\unicode[STIX]{x1D70F}}$ and $\unicode[STIX]{x1D708}$ for distances, and $\langle \text{}\rangle$ indicates time averaging. The solid lines show least-squares log fits to data over the comprehensive log region, shown by vertical dotted lines, with the extent $y_{+}\geqslant 3.6\sqrt{\unicode[STIX]{x1D6FF}_{+}}$ to $\unicode[STIX]{x1D702}\leqslant 0.12$, i.e. approximately $35\,\%$ of a decade, in (a) and $y_{+}\geqslant 3\sqrt{\unicode[STIX]{x1D6FF}_{+}}$ to $\unicode[STIX]{x1D702}\leqslant 0.14$, i.e. $125\,\%$ of a decade, in (b).

Figure 1

Table 1.Various parameters for the Princeton (Vallikivi et al.2015, flow code VHS), Melbourne (Harun et al.2013; Talluru et al.2014; Marusic et al.2015, flow codes HMMM, TBHM and MCKH respectively) and Stanford (DeGraaff & Eaton 2000, flow code DE) ZPG TBL data sets. It should be noted that the Melbourne data have $Re_{\unicode[STIX]{x1D70F}}=\unicode[STIX]{x1D6FF}_{c}u_{\unicode[STIX]{x1D70F}}/\unicode[STIX]{x1D708}=3020,4945,8280,10\,489,13\,386$ and $15\,000$ respectively, where $\unicode[STIX]{x1D6FF}_{c}$ is a measure of the boundary layer thickness different from $\unicode[STIX]{x1D6FF}=\unicode[STIX]{x1D6FF}_{99}$; $\unicode[STIX]{x1D6FF}_{c}>\unicode[STIX]{x1D6FF}$ (Jones, Marusic & Perry 2001; Monkewitz, Chauhan & Nagib 2008). We have used $\unicode[STIX]{x1D6FF}_{+}=\unicode[STIX]{x1D6FF}u_{\unicode[STIX]{x1D70F}}/\unicode[STIX]{x1D708}=\unicode[STIX]{x1D6FF}_{99}u_{\unicode[STIX]{x1D70F}}/\unicode[STIX]{x1D708}$, where $\unicode[STIX]{x1D6FF}$ has been obtained from the mean velocity profile. Original data sets have been used for the analysis of the Melbourne experiments, whereas mean velocity profiles have been digitized from Vallikivi et al. (2015) and DeGraaff & Eaton (2000) for the analysis of the Princeton and Stanford experiments respectively. Here, $x_{s}=-u_{\unicode[STIX]{x1D70F}}/(\text{d}u_{\unicode[STIX]{x1D70F}}/\text{d}x)$ is the distance of the virtual wall source upstream of the measurement location according to the kinematic description of Coles (1955); see figure 2 of § 2.2.

Figure 2

Figure 2.Geometrical interpretation of the streamwise length scale $x_{s}$ in the inner layer of a ZPG TBL following Coles (1955). The dashed lines represent the directions of the mean velocity vectors $\langle \boldsymbol{u}_{1}\rangle$ and $\langle \boldsymbol{u}_{2}\rangle$ at two representative heights $y_{1}$ and $y_{2}$ in the inner layer. The dashed–dotted line indicates the mean velocity profile.

Figure 3

Figure 3.(a) Variation of $C_{f}$ and $\unicode[STIX]{x1D703}/\unicode[STIX]{x1D6FF}$ with Reynolds number $R_{\unicode[STIX]{x1D6FF}}$ and (b) variation of $\text{d}\unicode[STIX]{x1D6FF}_{+}/\text{d}x_{+}$ with Reynolds number $\unicode[STIX]{x1D6FF}_{+}$ for the experimental ZPG TBL data of table 1. The lines indicate least-squares power-law curve fits to the data. The vertical dashed–dotted lines indicate demarcations between different regimes discussed in detail in § 3.

Figure 4

Figure 4.Pictorial representation of the conditions for log scaling emerging from the present work for canonical ZPG TBL flows at (a) moderate and (b) high Reynolds numbers. The dashed–dotted lines represent mean-flow streamlines, and in the inner region these are identical to the iso-$y_{+}$ lines. One should notice the difference in the inclination of a wake-region mean streamline in relation to the mean edge of the TBL in the two cases. The mean streamlines in (b), at high Reynolds numbers, tend to be straight and concurrent as if emanating from a virtual wall source at an infinite distance upstream.