Computational Fluid Mechanics and Hydraulics

Computational Fluid Mechanics and Hydraulics

Rapid advances in computational power and numerical techniques in recent years have provided us with the opportunity to solve challenging problems in many science and engineering fields [...]

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Bibliographische Detailangaben
Veröffentlicht in:Water (Basel) 2022-12, Vol.14 (24), p.3985
Hauptverfasser: Shakibaeinia, Ahmad, Zarrati, Amir Reza
Format: Artikel
Sprache:eng
Schlagworte:
Accuracy
Computer applications
Conflicts of interest
Deep learning
Experiments
Finite volume method
Fluid flow
Fluid mechanics
Hydraulics
Morphology
Neural networks
Partial differential equations
Physics
Simulation
Turbulence models
Vortices
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Beschreibung
Zusammenfassung:Rapid advances in computational power and numerical techniques in recent years have provided us with the opportunity to solve challenging problems in many science and engineering fields [...]
ISSN:2073-4441
2073-4441
DOI:10.3390/w14243985