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A stochastic EDQNM approach is used to investigate self-similar decaying isotropic turbulence at high Reynolds number ($400 \leq Re_\lambda \leq 10^4$). The realistic energy spectrum functional form recently proposed by Meyers & Meneveau is…

流体动力学 · 物理学 2013-09-25 Marcello Meldi , Pierre Sagaut , Didier Lucor

The way the increment statistics of turbulent velocity fluctuations scale with the increment size is a centerpiece of turbulence theories. We report data on decaying turbulence in the Max Planck Variable Density Turbulence Tunnel (VDTT),…

流体动力学 · 物理学 2022-03-07 Christian Küchler , Eberhard Bodenschatz , Gregory P. Bewley

Numerical simulations of turbulent round jets, using explicit-filtered LES technique, are performed, for three different Reynolds numbers(Re = 3600, 88000, 400000), to understand the Reynolds number effect on subsonic jets with Mach number…

流体动力学 · 物理学 2017-11-22 Ramanathan Varadharajan

The scaling of acceleration statistics in turbulence is examined by combining data from the literature with new data from well-resolved direct numerical simulations of isotropic turbulence, significantly extending the Reynolds number range.…

流体动力学 · 物理学 2022-06-13 Dhawal Buaria , Katepalli R. Sreenivasan

We relate the intermittent fluctuations of velocity gradients in turbulence to a whole range of local dissipation scales generalizing the picture of a single mean dissipation length. The statistical distribution of these local dissipation…

流体动力学 · 物理学 2007-10-29 Joerg Schumacher

We propose a model for the streamwise velocity variance in wall-bounded turbulent flows. It hypothesizes that the wall-parallel motions of the attached eddies induce internal turbulent boundary layers. A logarithmic variance profile is…

流体动力学 · 物理学 2024-05-07 Chenning Tong

The log-normal type of turbulence energy spectral function, derived from the maximum entropy principle, is shown to be parameterizable in terms of root turbulence variables including the Reynolds number. The spectral function is first…

流体动力学 · 物理学 2021-02-24 T. -W. Lee

The dependence of the statistics of energy dissipation on the Reynolds number is investigated in an experimental jet flow. In a range of about one decade of $Re_{\lambda}$ (from about 200 to 2000) the adimensional mean energy dissipation is…

混沌动力学 · 物理学 2009-11-07 G. Boffetta , G. P. Romano

From a database of direct numerical simulations of homogeneous and isotropic turbulence, generated in periodic boxes of various sizes, we extract the spherically symmetric part of moments of velocity increments and first verify the…

流体动力学 · 物理学 2020-05-20 Kartik P. Iyer , Katepalli R. Sreenivasan , P. K. Yeung

Turbulent signals are known to exhibit burst-like activities, which affect the turbulence statistics at both large and small scales of the flow. In our study, we pursue this problem from the perspective of an event-based framework, where…

流体动力学 · 物理学 2023-01-26 Subharthi Chowdhuri , Tirtha Banerjee

The Reynolds number dependence of the dimensionless dissipation rate is derived directly from the Karman-Howarth equation in terms of the inverse of the integral scale Reynolds number and a coefficient which depends on the second- and…

流体动力学 · 物理学 2010-02-11 W. David McComb , Arjun Berera , Matthew Salewski , Samuel Yoffe

In this work, we study the flow in curved channels, an archetypal configuration that allows insights into problems featuring turbulence bounded by curved walls. Besides its relevance to many engineering applications, it exhibits a rich…

流体动力学 · 物理学 2025-03-19 Giulio Soldati , Paolo Orlandi , Sergio Pirozzoli

The QSQH theory is extended to all three velocity components taking into account the fluctuations of the direction of the large-scale component of the wall friction. This effect is found to be significant. It explains the large sensitivity…

流体动力学 · 物理学 2021-07-28 Sergei Chernyshenko

Universal properties of turbulence have been associated traditionally with very high Reynolds numbers, but recent work has shown that the onset of the power-laws in derivative statistics occurs at modest microscale Reynolds numbers of the…

流体动力学 · 物理学 2023-04-26 Sualeh Khurshid , Diego Donzis , Katepalli R. Sreenivasan

In this study, we analyze the statistics of both individual inertial particles and inertial particle pairs in direct numerical simulations of homogeneous isotropic turbulence in the absence of gravity. The effect of the Taylor microscale…

流体动力学 · 物理学 2016-05-25 Peter J. Ireland , Andrew D. Bragg , Lance R. Collins

We use well-resolved direct numerical simulations of high-Reynolds-number turbulence to study a fundamental statistical property of turbulence -- the asymmetry of velocity increments -- with likely implications on important dynamics. This…

流体动力学 · 物理学 2022-10-11 Katepalli R. Sreenivasan , Kartik P. Iyer , Ashvin Vinodh

Turbulent motions in a fluid relax at a certain rate once stirring has stopped. The role of the most basic parameter in fluid mechanics, the Reynolds number, in setting the relaxation rate is not generally known. This paper concerns the…

流体动力学 · 物理学 2015-06-22 Michael Sinhuber , Eberhard Bodenschatz , Gregory P. Bewley

The ability of linear stochastic response analysis to estimate coherent motions is investigated in turbulent channel flow at friction Reynolds number Re$_\tau$ = 1007. The analysis is performed for spatial scales characteristic of…

流体动力学 · 物理学 2021-02-02 Pierluigi Morra , Onofrio Semeraro , Dan S. Henningson , Carlo Cossu

Wall-pressure fluctuations are a practically robust input for real-time control systems aimed at modifying wall-bounded turbulence. The scaling behaviour of the wall-pressure--velocity coupling requires investigation to properly design a…

流体动力学 · 物理学 2024-01-11 Woutijn J. Baars , Giulio Dacome , Myoungkyu Lee

For low-Reynolds number shear-flows of neutrally-buoyant suspensions, the shear stress is often modeled using an effective viscosity that depends only on the solid fraction. As the Reynolds number ($Re$) is increased and inertia becomes…

流体动力学 · 物理学 2020-12-10 Esperanza Linares-Guerrero , Melany L. Hunt , Roberto Zenit
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