Gappy Data: To Krig or Not To Krig

Abstract

Data recovery and reconstruction methods for unsteady flow fields with spatio-temporal missing data are studied based on proper orthogonal decomposition (POD) and on Kriging interpolation. It is found that for sufficient temporal resolution, POD-based methods outperform Kriging interpolation. However, for insufficient temporal resolution, large spatial gappiness or for flow fields with black zones, Kriging interpolation is more effective. The comparison is performed based on randomly generated laminar and turbulent flow fields obtained from simulations of uniform flow past a circular cylinder.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA459195

Entities

People

  • George Karniadakis
  • Hasan Gunes
  • Sirod Sirisup

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Applied Mathematics
  • Computational Fluid Dynamics
  • Computational Science
  • Data Sets
  • Equations
  • Flow
  • Flow Fields
  • Fluid Dynamics
  • Fluid Mechanics
  • Reynolds Number
  • Steady Flow
  • Stratified Fluids
  • Three Dimensional
  • Two Dimensional
  • Vortex Shedding

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Fluid Mechanics and Fluid Dynamics.