Data-driven enhancement of coherent structure-based models for predicting instantaneous wall turbulence-Reference-Cited by-同舟云学术

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Data-driven enhancement of coherent structure-based models for predicting instantaneous wall turbulence

Published:2021-12 Issue: Volume:92 Page:108879
ISSN:0142-727X
Container-title:International Journal of Heat and Fluid Flow
language:en
Short-container-title:International Journal of Heat and Fluid Flow

Author:

Deshpande Rahul^ORCID,de Silva Charitha M.^ORCID,Lee Myoungkyu^ORCID,Monty Jason P.,Marusic Ivan^ORCID

Funder

U.S. Department of Energy

National Nuclear Security Administration

Australian Research Council

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics

Reference65 articles.

1. Skin-friction drag reduction in a high-Reynolds-number turbulent boundary layer via real-time control of large-scale structures;Abbassi;Int. J. Heat Fluid Flow,2017

2. Vortex organization in the outer region of the turbulent boundary layer;Adrian;J. Fluid Mech.,2000

3. Spectral stochastic estimation of high-Reynolds-number wall-bounded turbulence for a refined inner-outer interaction model;Baars;Phys. Rev. Fluids,2016

4. Self-similarity of wall-attached turbulence in boundary layers;Baars;J. Fluid Mech.,2017

5. Distance-from-the-wall scaling of turbulent motions in wall-bounded flows;Baidya;Phys. Fluids,2017

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1. The modulation of coherent structures by the near-wall motions of particles;Journal of Fluid Mechanics;2024-02-23

2. Evidence that superstructures comprise self-similar coherent motions in high Reynolds number boundary layers;Journal of Fluid Mechanics;2023-08-11

3. Reduced-order representation of superstructures in a turbulent boundary layer;Physics of Fluids;2023-05-01

4. General attached eddies: Scaling laws and cascade self-similarity;Physical Review Fluids;2023-04-24

5. A data-driven machine learning framework for modeling of turbulent mixing flows;Physics of Fluids;2023-01-01

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