Post-Processing Utilities

class TurbulenceAveragingPostProcessing

Post-processing to collect various types of statistics on flow fields.

This class implements Reynolds and Favre averaging as well as other useful quantities relevant to analyzing turbulent flows.

Currently supported:

• Reynolds and Favre averaging of flow variables

• TKE and stress computation

• Vorticity, Q-criterion, lambda-ci calculation

Public Types

enum AveragingType

Type of time filter averaging applied.

Values:

NALU_CLASSIC = 0

Classic Nalu implementation (saw-tooth reset)

MOVING_EXPONENTIAL

Moving exponential window averaging.

class DataProbePostProcessing

class SolutionNormPostProcessing

class SurfaceForceAndMomentAlgorithm : public sierra::nalu::Algorithm

class SurfaceForceAndMomentWallFunctionAlgorithm : public sierra::nalu::Algorithm