Structure extraction by stochastic estimation with adaptive events

S. Balachandar, Ronald Adrian

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Various aspects of turbulence structure can be found by a new class of stochasticestimation methods in which the conditional events that define the stochastic estimate are systematically varied. Methods are presented to find the length scale of large periodic structures, the form of structures that have specified geometric constraints such as two-dimensionality, and the structure of small-scale motions embedded in large-scale motions. These methodologies are demonstrated in high Rayleigh number turbulent convection by extracting both the large-scale roll-cell and coherent thermal plumes. A method of compressed representation using a stochastic estimate given data on optimally chosen points is also demonstrated.

Original languageEnglish (US)
Pages (from-to)243-257
Number of pages15
JournalTheoretical and Computational Fluid Dynamics
Volume5
Issue number4-5
DOIs
StatePublished - Nov 1993
Externally publishedYes

Fingerprint

Thermal plumes
Periodic structures
Turbulence
Rayleigh number
Geometric Constraints
Motion
Periodic Structures
Length Scale
Estimate
Convection
Dimensionality
estimates
plume
turbulence
convection
plumes
methodology
Methodology
Cell
method

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Physics and Astronomy (miscellaneous)
  • Physics and Astronomy(all)
  • Applied Mathematics
  • Mechanics of Materials
  • Computational Mechanics
  • Oceanography
  • Fluid Flow and Transfer Processes

Cite this

Structure extraction by stochastic estimation with adaptive events. / Balachandar, S.; Adrian, Ronald.

In: Theoretical and Computational Fluid Dynamics, Vol. 5, No. 4-5, 11.1993, p. 243-257.

Research output: Contribution to journalArticle

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