Hostname: page-component-74656f9884-54qdv Total loading time: 0 Render date: 2026-11-09T15:30:25.873Z Has data issue: false hasContentIssue false

Generalisation of the Prandtl relation for the skin-friction law to compressible turbulent channel and pipe flows

Published online by Cambridge University Press:  06 April 2026

Zhiye Zhao
Affiliation:
Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
Lin Fu*
Affiliation:
Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong Department of Mathematics, The Hong Kong University of Science and Technology, Clear Water Bay,Kowloon, Hong Kong
*
Corresponding author: Lin Fu, linfu@ust.hk

Abstract

In this work, the classical Prandtl relation for the skin-friction law of incompressible turbulent channel and pipe flows is generalised to compressible cases. Specifically, based on the law of the wall and asymptotic analysis, a skin-friction transformation is proposed to map the skin-friction law of compressible turbulent channel and pipe flows to the classical Prandtl relation. It has been theoretically proven that the skin-friction coefficient $C_{\!f,i}$ and the bulk Reynolds number $\textit{Re}_{b,i}$ for compressible turbulent channel and pipe flows, where the subscript $i$ denotes the transformed quantity obtained from the proposed skin-friction transformation, adhere to the Prandtl relation, expressed as $\sqrt {2/C_{\!f,i}}\propto \ln (\textit{Re}_{b,i}\sqrt {C_{\!f,i}/2})$. Moreover, it is quantitatively verified that the transformed $C_{\!f,i}$ and $\textit{Re}_{b,i}$, obtained from direct numerical simulations (DNS) of compressible turbulent channel flows with bulk Mach numbers ranging from $0.2$ to $4$, and friction Reynolds numbers from $200$ to $2000$, elegantly collapse into the Prandtl relation for the incompressible skin-friction law. Additionally, the transformed $C_{\!f,i}$ and $\textit{Re}_{b,i}$ from DNS of compressible turbulent pipe flows, with bulk Mach numbers ranging from $1.5$ to $3$, and friction Reynolds numbers from $200$ to $1000$, are also unified with the Prandtl relation for the incompressible skin-friction law.

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), 2026. Published by Cambridge University Press
Figure 0

Table 1. The parameters for incompressible turbulent channel flows of Bernardini et al. (2014). Here, $\textit{Re}_\tau$ is the friction Reynolds number, $\textit{Re}_b$ is the bulk Reynolds number, and $C_{\!f}$ is the skin-friction coefficient.

Figure 1

Table 2. The parameters for incompressible turbulent pipe flows of Pirozzoli et al. (2021). The representations of the parameters are presented in table 1.

Figure 2

Table 3. The parameters for present compressible turbulent channel flows. Here, $\textit{Ma}_b$ is the bulk Mach number, $\textit{Re}_\tau ^*$ is the semi-local friction Reynolds number, $T_c/T_w$ is the ratio of the central temperature to the wall temperature, and $B_q$ is the dimensionless measure of the wall heat transfer rate. Also, $\textit{Re}_{b^*}$ and $C_{\!f^*}$ are the redefined bulk Reynolds number and skin-friction coefficient, respectively, based on the bulk transformed velocity $u_{b^*}$.

Figure 3

Table 4. The parameters for compressible turbulent channel flows from references. The ninth channel flow of Yao & Hussain (2020) is incompressible. The representations of the parameters are presented in table 3.

Figure 4

Table 5. The parameters for compressible turbulent pipe flows of Modesti & Pirozzoli (2019). The representations of the parameters are presented in table 3.

Figure 5

Figure 1. Plots of $\sqrt {2/C_{f}}$ versus ($a$) $\textit{Re}_{\tau }$ and ($b$) $\textit{Re}_{\tau }^*$ in compressible turbulent channel flows. Here, $\kappa _{\!f}$ and $C$ in the Prandtl relation are obtained from Abe & Antonia (2016). The squared Pearson correlation coefficients $R^2$ are provided in each plot. Only compressible data are used to calculate $R^2$.

Figure 6

Figure 2. The error of the skin-friction coefficient, defined as $|(\sqrt {2/C_{\!f}})_{DNS}-(\sqrt {2/C_{\!f}})_{Pr}|/(\sqrt {2/C_{\!f}})_{Pr}$, versus ($a$) $\textit{Re}_{\tau }$ and ($b$) $\textit{Re}_{\tau }^*$ in compressible turbulent channel flows. Here, $(\sqrt {2/C_{\!f}})_{Pr}$ represents the value calculated using the Prandtl relation with $\kappa _{\!f}=0.394$ and $C=2.41$.

Figure 7

Figure 3. Plots of $\sqrt {2/C_{f}}$ versus ($a$) $\textit{Re}_{\tau }$ and ($b$) $\textit{Re}_{\tau }^*$ in compressible turbulent pipe flows. Here, $\kappa _{\!f}$ and $C$ in the Prandtl relation are reported by Abe & Antonia (2016); $R^2$ is calculated using compressible data.

Figure 8

Figure 4. The error of the skin-friction coefficient, defined as $|(\sqrt {2/C_{\!f}})_{DNS}-(\sqrt {2/C_{\!f}})_{Pr}|/(\sqrt {2/C_{\!f}})_{Pr}$, versus ($a$) $\textit{Re}_{\tau }$ and ($b$) $\textit{Re}_{\tau }^*$ in compressible turbulent pipe flows. Here, $(\sqrt {2/C_{\!f}})_{Pr}$ represents the value calculated using the Prandtl relation with $\kappa _{\!f}=0.407$ and $C=2.0$.

Figure 9

Figure 5. ($a$) The transformed $\sqrt {2/C_{\!f,i}}$ versus $\textit{Re}_{\tau }^*\ (=\textit{Re}_{b,i}\,\sqrt {C_{\!f,i}/2})$ and ($b$) the error of $\sqrt {2/C_{\!f,i}}$ in compressible turbulent channel flows. Here, $R^2$ is calculated using compressible data. The definitions of error are provided in figure 2.

Figure 10

Figure 6. ($a$) The transformed $\sqrt {2/C_{\!f,i}}$ versus $\textit{Re}_{\tau }^*\ (=\textit{Re}_{b,i}\,\sqrt {C_{\!f,i}/2})$ and ($b$) the error of $\sqrt {2/C_{\!f,i}}$ in compressible turbulent pipe flows. Here, $R^2$ is calculated using compressible data. The definitions of error are provided in figure 4.

Figure 11

Figure 7. The transformed $C_{\!f,i}$ versus ($a$) $\textit{Re}_{\tau }^*$ and ($b$) the transformed $\textit{Re}_{b,i}$ in compressible turbulent channel flows.

Figure 12

Figure 8. The transformed $C_{\!f,i}$ versus ($a$) $\textit{Re}_{\tau }^*$ and ($b$) the transformed $\textit{Re}_{b,i}$ in compressible turbulent pipe flows.

Figure 13

Figure 9. ($a,c$) The transformed $\sqrt {2/C_{\!f,i}}$ versus $\textit{Re}_{\tau }^*\ (=\textit{Re}_{b,i}\,\sqrt {C_{\!f,i}/2})$ and ($b,d$) the error of $\sqrt {2/C_{\!f,i}}$ in compressible turbulent channel flows. Here, $u_{b^*}$ is calculated using the TL transformation in ($a$,$b$) and the HLPP transformation in ($c$,$d$).

Figure 14

Figure 10. ($a$) The transformed $\sqrt {2/C_{\!f,i}}$ versus $\textit{Re}_{\tau }^*\ (=\textit{Re}_{b,i}\,\sqrt {C_{\!f,i}/2})$ and ($b$) the error of $\sqrt {2/C_{\!f,i}}$ in compressible turbulent pipe flows. Here, $u_{b^*}$ is calculated using the TL transformation in ($a$,$b$) and the HLPP transformation in ($c$,$d$).