Data-Driven, Physics-Based Feature Extraction from Fluid Flow Fields

Understand

Feature identification is an important task in many fluid dynamics applications and diverse methods have been developed for this purpose.

• These methods are based on a physical understanding of the underlying behavior of the flow in the vicinity of the feature.
• Particularly, they rely on definition of suitable criteria (i.e.
• point-based or neighborhood-based derived properties) and proper selection of thresholds.