Identification of structures and mechanisms in a flow field by POD analysis for input data obtained from visualization and PIV

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F20%3A00342123" target="_blank" >RIV/68407700:21220/20:00342123 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/s00348-020-03005-6" target="_blank" >https://doi.org/10.1007/s00348-020-03005-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00348-020-03005-6" target="_blank" >10.1007/s00348-020-03005-6</a>

Result language

angličtina

Original language name

Identification of structures and mechanisms in a flow field by POD analysis for input data obtained from visualization and PIV

Original language description

This paper investigates the application of proper orthogonal decomposition (POD) for data obtained from visualizations. Using the POD method, the flow field behind one and two cylinders in a staggered configuration was analyzed. The data processed by this method were obtained from experimental measurements of flow fields using the particle image velocimetry (PIV) method and visualization. The dominant frequencies of the flow pattern from these data were compared using constant temperature anemometry (CTA) measurements. Attention was mainly focused on the flow at three Reynolds numbers: 500, 1200, and 2500. Velocity and vortex fields were created from PIV measurements in the wind tunnel forRe = 500, and video images of flow fields were obtained from dye visualizations in the hydrodynamic tunnel. The components of velocity, vorticity (both of PIV), and change in grayscale (from visualization) were used as input data for POD analysis. A methodology for data processing from visualizations was developed for subsequent analysis using the POD method. A new technique has been found to identify structures in the wake of the cylinders in a staggered configuration by analyzing POD based on various types of input data. The measured fields of dominant frequencies from the CTA and a thorough analysis of the POD modes and their relative energy values for each type of data made it possible to identify the structures and mechanisms that occur in the wake of cylinders. This analysis facilitated a better understanding of the importance of these structures and mechanisms, which can then be used to control the flow behind the cylinders.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20302 - Applied mechanics

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

EXPERIMENTS IN FLUIDS

ISSN

0723-4864

e-ISSN

1432-1114

Volume of the periodical

61

Issue of the periodical within the volume

8

Country of publishing house

US - UNITED STATES

Number of pages

21

Pages from-to

—

UT code for WoS article

000551986100001

EID of the result in the Scopus database

2-s2.0-85087819938