Publication | Closed Access
On the velocity gradient tensor and fluid feature extraction
100
Citations
17
References
1999
Year
EngineeringClassification SignatureFluid MechanicsFeature ExtractionComputational MechanicsUnsteady FlowImage AnalysisData SciencePattern RecognitionMultilinear Subspace LearningVector FieldHydrodynamic StabilityMachine VisionFluid Feature ExtractionComputational Fluid DynamicsMultiphase FlowNonlinear Dimensionality ReductionFluid-structure InteractionAerodynamicsMultiscale Modeling
A 3-D Computational Fluid Dynamics flow field may contain many topological features such as vortex cores, separation surfaces, shock surfaces, and recirculation bubbles. We describe several techniques that identify these global features using local analytical tests that can applied independently to any point or cell in a vector field. These techniques draw on concepts from critical point theory and phase plane analysis and utilize the velocity gradient tensor. For this 3x3 tensor an eigen-analysis produces 3 eigenvalues. Mapping these to the complex plane produces the classification signature. Vector field topology can be used as the foundation of automated fluid feature extraction.
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