Toward neural-network-based large eddy simulation: application to turbulent channel flow-Reference-Cited by-同舟云学术

Toward neural-network-based large eddy simulation: application to turbulent channel flow

Published:2021-03-05 Issue: Volume:914 Page:
ISSN:0022-1120
Container-title:Journal of Fluid Mechanics
language:en
Short-container-title:J. Fluid Mech.

Author:

Park Jonghwan,Choi Haecheon^ORCID

Abstract

Publisher

Cambridge University Press (CUP)

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics

Reference73 articles.

1. GENERAL CIRCULATION EXPERIMENTS WITH THE PRIMITIVE EQUATIONS

2. Large-eddy simulation of the turbulent mixing layer

3. A mixed multiscale model better accounting for the cross term of the subgrid-scale stress and for backscatter

5. Bedford, K.W. & Yeo, W.K. 1993 Conjunctive filtering procedures in surface water flow and transport. In Large Eddy Simulation of Complex Engineering and Geophysical Flows (ed. B. Galperin & S.A. Orszag), pp. 513–539. Cambridge University Press.

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