Nonlinear mode decomposition with convolutional neural networks for fluid dynamics
Nonlinear mode decomposition with convolutional neural networks for fluid dynamics
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Publisher
Cambridge: Cambridge University Press
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Language
English
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Publisher
Cambridge: Cambridge University Press
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Scope and Contents
Contents
We present a new nonlinear mode decomposition method to visualize decomposed flow fields, named the mode decomposing convolutional neural network autoencoder (MD-CNN-AE). The proposed method is applied to a flow around a circular cylinder at the Reynolds number
$Re_{D}=100$
as a test case. The flow attributes are mapped into two modes in the...
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Full title
Nonlinear mode decomposition with convolutional neural networks for fluid dynamics
Authors, Artists and Contributors
Author / Creator
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TN_cdi_proquest_journals_2353070412
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2353070412
Other Identifiers
ISSN
0022-1120
E-ISSN
1469-7645
DOI
10.1017/jfm.2019.822
