Abstract

A different version of the classic proper orthogonal decomposition (POD) procedure introducing spatial and temporal weighting matrices is proposed. Furthermore, a newly defined non-Euclidean (NE) inner product that retain similarities with the POD is introduced in the paper. The aim is to emphasize fluctuation events localized in spatio-temporal regions with low kinetic energy magnitude, which are not highlighted by the classic POD. The different variants proposed in this work are applied to numerical and experimental data, highlighting analogies and differences with respect to the classic and other normalized variants of POD available in the literature. The numerical test case provides a noise-free environment of the strongly organized vortex shedding behind a cylinder. Conversely, experimental data describing transitional boundary layers are used to test the capability of the procedures in strongly not uniform flows. By-pass and separated flow transition processes developing with high free-stream disturbances have been considered. In both cases streaky structures are expected to interact with other vortical structures (i.e. free-stream vortices in the by-pass case and Kelvin–Helmholtz rolls in the separated type) that carry a significant different amount of energy. Modes obtained by the non-Euclidean POD (NE-POD) procedure (where weighted projections are considered) are shown to better extract low energy events sparse in time and space with respect to modes extracted by other variants. Moreover, NE-POD modes are further decomposed as a combination of Fourier transforms of the related temporal coefficients and the normalized data ensemble to isolate the frequency content of each mode.

Highlights

  • Modal decomposition techniques represent nowadays fundamental tools for data analysis and construction of reduced order models (ROMs) of complex systems

  • Following the extended proper orthogonal decomposition (POD) procedure proposed by Boree [3], the spatial POD modes of a given field can be computed as projection on the temporal coefficients obtained by solving the POD problem in a different spatial domain, or with different quantities used for the definition of the POD kernel

  • Starting from the Time invariant POD (TI-POD) and Space invariant POD (SI-POD) formulations presented in the previous sections, one could think to perform a Time-Space Invariant POD (TSI-POD) including the advantages of both temporal and spatial normalizations of the snapshot matrix, defining a new normalized snapshot matrix as: U~ 1⁄4 WS U WT

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Summary

Introduction

Modal decomposition techniques represent nowadays fundamental tools for data analysis and construction of reduced order models (ROMs) of complex systems. Due to the elevated homogeneous free-stream turbulence characterizing this condition, streaky structures are expected to influence the shear layer dynamics, prior to the formation of the most energetic Kelvin– Helmholtz (K–H) rolls at the bubble maximum displacement position (see [15, 25, 27, 38, 44]) These experimental cases are discussed in order to emphasize the capability of the weighted scalar product to highlight spatio-temporal regions with low kinetic energy with respect to a symmetric normalization of the snapshot matrix.

Classic snapshot POD
Mixed Fourier-Empirical decomposition
Application to numerical data
Application to experimental data
Bypass transition
Separated flow transition
POD and NE-POD filtered velocity fields
Findings
Conclusions
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