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Artificial-neural-network-based nonlinear algebraic models for large-eddy simulation of compressible...

Artificial-neural-network-based nonlinear algebraic models for large-eddy simulation of compressible...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2791870804

Artificial-neural-network-based nonlinear algebraic models for large-eddy simulation of compressible wall-bounded turbulence

About this item

Full title

Artificial-neural-network-based nonlinear algebraic models for large-eddy simulation of compressible wall-bounded turbulence

Publisher

Cambridge, UK: Cambridge University Press

Journal title

Journal of fluid mechanics, 2023-04, Vol.960, Article A4

Language

English

Formats

Publication information

Publisher

Cambridge, UK: Cambridge University Press

More information

Scope and Contents

Contents

In this paper, we propose artificial-neural-network-based (ANN-based) nonlinear algebraic models for the large-eddy simulation (LES) of compressible wall-bounded turbulence. An innovative modification is applied to the invariants and the tensor bases of the nonlinear algebraic models through using the local grid widths along each direction to norma...

Alternative Titles

Full title

Artificial-neural-network-based nonlinear algebraic models for large-eddy simulation of compressible wall-bounded turbulence

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2791870804

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2791870804

Other Identifiers

ISSN

0022-1120

E-ISSN

1469-7645

DOI

10.1017/jfm.2023.179

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