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Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes

Kazuto Hasegawa, Kai Fukami, Takaaki Murata, Koji Fukagata

2020Theoretical and Computational Fluid Dynamics189 citationsDOIOpen Access PDF

Topics & Concepts

BluffAutoencoderSet (abstract data type)Computer scienceFlow (mathematics)Focus (optics)Large eddy simulationArtificial neural networkData setTest dataConvolutional neural networkAlgorithmTrigonometric functionsArtificial intelligenceConstruct (python library)Computational Science and EngineeringPattern recognition (psychology)MathematicsComputationTest setTrigonometryConvolution (computer science)Model Reduction and Neural NetworksFluid Dynamics and Vibration AnalysisFluid Dynamics and Turbulent Flows
Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes | Litcius