Predicting the near-wall velocity of wall turbulence using a neural network for particle image velocimetry-Reference-Cited by-同舟云学术

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Predicting the near-wall velocity of wall turbulence using a neural network for particle image velocimetry

Published:2020-11-01 Issue:11 Volume:32 Page:115105
ISSN:1070-6631
Container-title:Physics of Fluids
language:en
Short-container-title:Physics of Fluids

Author:

Wang Hongping¹^ORCID,Yang Zixuan¹^ORCID,Li Binglin¹,Wang Shizhao¹^ORCID

Affiliation:

1. The State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China

Funder

Key Research Program of Frontier Science of the CAS

Strategic Priority Research Program

National Natural Science Foundation of China

Young Scientists Fund

Publisher

AIP Publishing

Subject

Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0023786

Reference65 articles.

1. Skin-friction drag reduction in a high-Reynolds-number turbulent boundary layer via real-time control of large-scale structures

2. Twenty years of particle image velocimetry

3. On the appropriate filtering of PIV measurements of turbulent shear flows

4. The accuracy of tomographic particle image velocimetry for measurements of a turbulent boundary layer

5. Machine Learning for Fluid Mechanics

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