Journal ArticleDOI
Quantification of amplitude modulation in wall-bounded turbulence
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In this article, different spectral filters (temporal, spatial, or both) and empirical mode decomposition (EMD) are evaluated and compared for scale decomposition in wall-bounded turbulent flows.About:
This article is published in Fluid Dynamics Research.The article was published on 2019-01-17. It has received 52 citations till now. The article focuses on the topics: Amplitude modulation & Amplitude.read more
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Convolutional-network models to predict wall-bounded turbulence from wall quantities
Luca Guastoni,A. Güemes,Andrea Ianiro,Stefano Discetti,Philipp Schlatter,Hossein Azizpour,Ricardo Vinuesa +6 more
TL;DR: Two models based on convolutional neural networks are trained to predict the two-dimensional instantaneous velocity-fluctuation fields at different wall-normal locations in a turbulent open-channel flow, using the wall-shear-stress components and the wall pressure as inputs, showing better predictions than the extended proper orthogonal decomposition (EPOD), which establishes a linear relation between the input and output fields.
Journal ArticleDOI
From coarse wall measurements to turbulent velocity fields through deep learning
A. Güemes,Stefano Discetti,Andrea Ianiro,Beril Sirmacek,Hossein Azizpour,Hossein Azizpour,Ricardo Vinuesa,Ricardo Vinuesa +7 more
TL;DR: In this article, the applicability of super-resolution generative adversarial networks (SRGANs) as a methodology for the reconstruction of turbulent flow quantities from coarse wall measurements was evaluated.
Journal ArticleDOI
Convolutional-network models to predict wall-bounded turbulence from wall quantities
Luca Guastoni,A. Güemes,Andrea Ianiro,Stefano Discetti,Philipp Schlatter,Hossein Azizpour,Ricardo Vinuesa +6 more
TL;DR: In this paper, two models based on convolutional neural networks are trained to predict the two-dimensional instantaneous velocity-fluctuation fields at different wall-normal locations in a turbulent open-channel flow, using the wall-shear-stress components and the wall pressure as inputs.
Journal ArticleDOI
Wall-Attached and wall-detached eddies in wall-bounded turbulent flows
TL;DR: In this paper, two types of eddies are identified in addition to the Kolmogorov-scale eddies, i.e. wall-attached and wall-detached eddies.
Journal ArticleDOI
From coarse wall measurements to turbulent velocity fields through deep learning
A. Güemes,Stefano Discetti,Andrea Ianiro,Beril Sirmacek,Hossein Azizpour,Hossein Azizpour,Ricardo Vinuesa,Ricardo Vinuesa +7 more
TL;DR: In this paper, the applicability of super-resolution generative adversarial networks (SRGANs) as a methodology for the reconstruction of turbulent flow quantities from coarse wall measurements was evaluated.
References
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Journal ArticleDOI
On the identification of a vortex
Jinhee Jeong,Fazle Hussain +1 more
TL;DR: In this article, the authors propose a definition of vortex in an incompressible flow in terms of the eigenvalues of the symmetric tensor, which captures the pressure minimum in a plane perpendicular to the vortex axis at high Reynolds numbers, and also accurately defines vortex cores at low Reynolds numbers.
Journal ArticleDOI
The structure of turbulent boundary layers
TL;DR: In this article, the authors describe the formation of low-speed streaks in the region very near the wall, which interact with the outer portions of the flow through a process of gradual lift-up, then sudden oscillation, bursting, and ejection.
Journal ArticleDOI
Scaling of the velocity fluctuations in turbulent channels up to Reτ=2003
Sergio Hoyas,Javier Jiménez +1 more
TL;DR: In this article, a new numerical simulation of a turbulent channel in a large box at Reτ=2003 is described and briefly compared with simulations at lower Reynolds numbers and with experiments.
Journal ArticleDOI
Reynolds-number scaling of the flat-plate turbulent boundary layer
David B. De Graaff,John K. Eaton +1 more
TL;DR: In this article, the authors used a low-speed, high-Reynolds-number facility and a high-resolution laser-Doppler anemometer to measure Reynolds stresses for a flat-plate turbulent boundary layer from Reθ = 1430 to 31 000.
Journal ArticleDOI
Assessment of direct numerical simulation data of turbulent boundary layers
Philipp Schlatter,Ramis Örlü +1 more
TL;DR: In this paper, statistics obtained from seven different direct numerical simulations (DNSs) pertaining to a canonical turbulent boundary layer (TBL) under zero pressure gradient are compiled and compared, and the resulting comparison shows surprisingly large differences not only in both basic integral quantities such as the friction coefficient or the shape factor H12, but also in their predictions of mean and fluctuation profiles far into the sublayer.
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