Orthogonal Decomposition Methods to Analyze PIV, LDV, and Thermography Data of Thermally Driven Rotating Annulus Laboratory Experiments

Uwe Harlander, Thomas von Larcher, Grady B. Wright, Michael Hoff, Kiril Alexandrov, Christoph Egbers

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter focuses on the experimental apparatus and the governing nondimensional parameters. It presents a summary of laboratory studies on annulus flows we performed over the previous few years. In particular, the chapter describes the multivariate orthogonal decomposition techniques we applied to the laboratory data. It analyzes particle image velocimetry (PIV) and laser Doppler velocimetry (LDV) data at the transition between two different wave regimes by applying the complex EOF analysis and multivariate singular system analysis (MSSA). The chapter examines data from an annulus with a broken azimuthal symmetry. It decomposes surface temperature data of the annulus flow in principal oscillation patterns (POPs), that is, the linear eigenmodes, and in modes of maximal growth, called singular vectors (SVs).

Original languageAmerican English
Title of host publicationModeling Atmospheric and Oceanic Flows: Insights from Laboratory Experiments and Numerical Simulations
StatePublished - 1 Jan 2015

Keywords

  • laser Doppler velocimetry (LDV)
  • multivariate singular system analysis (MSSA)
  • particle image velocimetry (PIV)
  • thermography

EGS Disciplines

  • Mathematics

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