Dynamic Mode Decomposition Analysis of Spatially Agglomerated Flow Databases

Dynamic Mode Decomposition Analysis of Spatially Agglomerated Flow Databases

Dynamic Mode Decomposition (<b>DMD</b>) techniques have risen as prominent feature identification methods in the field of fluid dynamics. Any of the multiple variables of the <b>DMD</b> method allows to identify meaningful features from either experimental or numerical flow d...

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Bibliographic Details
Main Authors: Binghua Li, Jesús Garicano-Mena, Yao Zheng , Eusebio Valero
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Energies
Subjects:
modal decompositions
turbulent flows
flow reconstruction
machine learning
clustering algorithms
spatial agglomeration
Online Access:https://www.mdpi.com/1996-1073/13/9/2134

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https://www.mdpi.com/1996-1073/13/9/2134

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