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Journal ArticleDOI

Direct numerical simulation of turbulent channel flow up to Reτ=590

Robert D. Moser, +2 more
- 05 Mar 1999 - 
- Vol. 11, Iss: 4, pp 943-945
TLDR
In this paper, numerical simulations of fully developed turbulent channel flow at three Reynolds numbers up to Reτ=590 were reported, and it was noted that the higher Reynolds number simulations exhibit fewer low Reynolds number effects than previous simulations at Reτ = 180.
Abstract
Numerical simulations of fully developed turbulent channel flow at three Reynolds numbers up to Reτ=590 are reported. It is noted that the higher Reynolds number simulations exhibit fewer low Reynolds number effects than previous simulations at Reτ=180. A comprehensive set of statistics gathered from the simulations is available on the web at http://www.tam.uiuc.edu/Faculty/Moser/channel.

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Citations
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A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities

TL;DR: In this article, a CFD strategy is proposed that combines delayed detached-eddy simulation (DDES) with an improved RANS-LES hybrid model aimed at wall modelling in LES (WMLES).
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Strategies for turbulence modelling and simulations

TL;DR: In this paper, the authors discuss the many levels possible for the numerical prediction of a turbulent flow, the target being a complete airplane, turbine, or car, and their hope is to stimulate reflection, discussion, and planning.
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Evidence of very long meandering features in the logarithmic region of turbulent boundary layers

TL;DR: In this article, a publisher's version of an article published in Journal of Fluid Mechanics © 2007 Cambridge University Press, Cambridge, UK. www.cambridge.edu.org/
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Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

TL;DR: This paper presents a method of using deep neural networks to learn a model for the Reynolds stress anisotropy tensor from high-fidelity simulation data and proposes a novel neural network architecture which uses a multiplicative layer with an invariant tensor basis to embed Galilean invariance into the predicted anisotropic tensor.
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An eddy-viscosity subgrid-scale model for turbulent shear flow: Algebraic theory and applications

TL;DR: In this article, an eddy-viscosity model is proposed and applied in large-eddy simulation of turbulent shear flows with quite satisfactory results, which is essentially not more complicated than the Smagorinsky model, but is constructed in such a way that its dissipation is relatively small in transitional and near-wall regions.
References
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Journal ArticleDOI

Turbulence statistics in fully developed channel flow at low reynolds number

TL;DR: In this article, a direct numerical simulation of a turbulent channel flow is performed, where the unsteady Navier-Stokes equations are solved numerically at a Reynolds number of 3300, based on the mean centerline velocity and channel half-width, with about 4 million grid points.
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Direct simulation of a turbulent boundary layer up to R sub theta = 1410

TL;DR: In this paper, the turbulent boundary layer on a flat plate, with zero pressure gradient, is simulated numerically at four stations between R sub theta = 225 and R sub tta = 1410.
Journal ArticleDOI

Reynolds-stress and dissipation-rate budgets in a turbulent channel flow

TL;DR: In this article, the Reynolds stresses and the dissipation rate of the turbulence kinetic energy are computed using direct simulation data of a turbulent channel flow using a closed-loop model, where the budget data reveal that all the terms in the budget become important close to the wall.
Journal ArticleDOI

Spectral methods for the Navier-Stokes equations with one infinite and two periodic directions

TL;DR: In this paper, the Navier-Stokes equations in boundary layers and mixing layers are solved by two numerical methods which employ rapidly decaying spectral basis functions to approximate the vertical dependence of the solutions.
Journal ArticleDOI

Direct Numerical Simulation of Passive Scalar Field in a Turbulent Channel Flow

TL;DR: In this paper, a direct numerical simulation (DNS) of the fully developed thermal field in a dimensional turbulent channel flow of air was carried out, and the statistics obtained were root-mean-square temperature fluctuations, turbulent heat fluxes, turbulent Prandtl number, and dissipation time scales.