Application of multipoint measurements for flow characterization

Mark N. Glauser; William K. George

doi:10.1016/0894-1777(92)90018-Z

Application of multipoint measurements for flow characterization

Mark N. Glauser
, William K. George

Department of Mechanical and Aerospace Engineering

Clarkson University

Research output: Contribution to journal › Article › peer-review

79 Scopus citations

Abstract

Some of the possibilities for inferring the structure of complicated flows from simultaneous measurements at many points are reviewed. Conditional sampling, pseudo-flow visualization, stochastic estimation, and the proper orthogonal decomposition are briefly reviewed and illustrated by example. Resolution criteria for multipoint spatial arrays are proposed that minimize the possibilities for misinterpreting the data.

Original language	English
Pages (from-to)	617-632
Number of pages	16
Journal	Experimental Thermal and Fluid Science
Volume	5
Issue number	5
DOIs	https://doi.org/10.1016/0894-1777(92)90018-Z
State	Published - Sep 1992

Keywords

conditional measurements
inhomogeneous fields
periodic and homogeneous fields
proper orthogonal decomposition
pseudo-flow visualization
spatial and temporal aliasing
stochastic estimation
windowing

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10.1016/0894-1777(92)90018-Z

Cite this

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title = "Application of multipoint measurements for flow characterization",

abstract = "Some of the possibilities for inferring the structure of complicated flows from simultaneous measurements at many points are reviewed. Conditional sampling, pseudo-flow visualization, stochastic estimation, and the proper orthogonal decomposition are briefly reviewed and illustrated by example. Resolution criteria for multipoint spatial arrays are proposed that minimize the possibilities for misinterpreting the data.",

keywords = "conditional measurements, inhomogeneous fields, periodic and homogeneous fields, proper orthogonal decomposition, pseudo-flow visualization, spatial and temporal aliasing, stochastic estimation, windowing",

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AU - Glauser, Mark N.

AU - George, William K.

PY - 1992/9

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N2 - Some of the possibilities for inferring the structure of complicated flows from simultaneous measurements at many points are reviewed. Conditional sampling, pseudo-flow visualization, stochastic estimation, and the proper orthogonal decomposition are briefly reviewed and illustrated by example. Resolution criteria for multipoint spatial arrays are proposed that minimize the possibilities for misinterpreting the data.

AB - Some of the possibilities for inferring the structure of complicated flows from simultaneous measurements at many points are reviewed. Conditional sampling, pseudo-flow visualization, stochastic estimation, and the proper orthogonal decomposition are briefly reviewed and illustrated by example. Resolution criteria for multipoint spatial arrays are proposed that minimize the possibilities for misinterpreting the data.

KW - conditional measurements

KW - inhomogeneous fields

KW - periodic and homogeneous fields

KW - proper orthogonal decomposition

KW - pseudo-flow visualization

KW - spatial and temporal aliasing

KW - stochastic estimation

KW - windowing

UR - https://www.scopus.com/pages/publications/0026918528

U2 - 10.1016/0894-1777(92)90018-Z

DO - 10.1016/0894-1777(92)90018-Z

M3 - Article

AN - SCOPUS:0026918528

SN - 0894-1777

VL - 5

SP - 617

EP - 632

JO - Experimental Thermal and Fluid Science

JF - Experimental Thermal and Fluid Science

IS - 5

ER -

Application of multipoint measurements for flow characterization

Abstract

Keywords

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