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Changes in turbulent dissipation in a channel flow with oscillating walls

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TLDR
In this article, the authors studied the physical mechanism for skin-friction drag reduction in a turbulent plane channel flow at constant pressure gradient and found that the dominant, oscillation-related term in the turbulent enstrophy caused the turbulent dissipation to be enhanced.
Abstract
Harmonic oscillations of the walls of a turbulent plane channel flow are studied by direct numerical simulations to improve our understanding of the physical mechanism for skin-friction drag reduction. The simulations are carried out at constant pressure gradient in order to define an unambiguous inner scaling: in this case, drag reduction manifests itself as an increase of mass flow rate. Energy and enstrophy balances, carried out to emphasize the role of the oscillating spanwise shear layer, show that the viscous dissipations of the mean flow and of the turbulent fluctuations increase with the mass flow rate, and the relative importance of the latter decreases. We then focus on the turbulent enstrophy: through an analysis of the temporal evolution from the beginning of the wall motion, the dominant, oscillation-related term in the turbulent enstrophy is shown to cause the turbulent dissipation to be enhanced in absolute terms, before the slow drift towards the new quasi-equilibrium condition. This mechanism is found to be responsible for the increase in mass flow rate. We finally show that the time-average volume integral of the dominant term relates linearly to the drag reduction.

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Citations
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Journal ArticleDOI

Model-based design of transverse wall oscillations for turbulent drag reduction

TL;DR: In this article, the Boussinesq eddy viscosity hypothesis is used to quantify the effect of fluctuations on the mean velocity in flow subject to control, and the resulting correction to the turbulent mean velocity induced by small-amplitude wall movements is then used to identify the optimal frequency of drag-reducing oscillations.
Journal ArticleDOI

Effect of wall heating on turbulent boundary layers with temperature-dependent viscosity

TL;DR: In this article, the effect of viscosity stratification on the turbulence statistics and skin friction was investigated, and an empirical relation for temperaturedependent viscosities for water was adopted.
Journal ArticleDOI

Reynolds-number dependence of turbulent skin-friction drag reduction induced by spanwise forcing

TL;DR: In this article, Quadrio et al. examined how increasing the value of the Reynolds number affects the ability of spanwise-forcing techniques to yield turbulent skin-friction drag reduction.
Posted Content

Direct numerical simulation of turbulent channel flow over porous walls

TL;DR: In this paper, the authors performed direct numerical simulations of a turbulent channel flow over porous walls, where the flow is governed by the incompressible Navier-Stokes (NS) equations, while in the porous layers the volume-averaged Navier--Stokes equations are used, which are obtained by volume-averaging the microscopic flow field over a small volume that is larger than the typical dimensions of the pores, and a parameter study is used to describe the role played by permeability, porosity, thickness of the porous material, and the coefficient of the momentum
References
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Journal ArticleDOI

An Introduction to Fluid Dynamics. By G. K. Batchelor. Pp. 615. 75s. (Cambridge.)

TL;DR: In this paper, the Navier-Stokes equation is derived for an inviscid fluid, and a finite difference method is proposed to solve the Euler's equations for a fluid flow in 3D space.
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TL;DR: In this paper, the authors present a reference record created on 2005-11-18, modified on 2016-08-08 and used for the analysis of turbulence and transport in the context of energie.
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MonographDOI

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TL;DR: In this article, the authors discuss the Reynolds equations and estimate of the Reynolds stress in the kinetic theory of gases, and describe the effects of shear flow near a rigid wall.
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The Statistical Description of Turbulence

TL;DR: In this article, the probability density, Fourier transforms and characteristic functions, joint statistics and statistical independence, Correlation functions and spectra, the central limit theorem, and the relation functions are discussed.
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