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Enhanced functional binning for one- and two-point statistics using a posteriori Uncertainty Quantification of LPT data

Godbersen, Philipp and Schröder, Andreas (2021) Enhanced functional binning for one- and two-point statistics using a posteriori Uncertainty Quantification of LPT data. In: Proceedings of 14th International Symposium on Particle Image Velocimetry, 1 (1), 1 - 12. ILLINOIS Tech / Paul V. Galvin Library. 14th International Symposium on Particle Image Velocimetry 2021, 01.-04.08.2021, Chicago, USA (online). doi: 10.18409/ispiv.v1i1.126.

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Official URL: https://doi.org/10.18409/ispiv.v1i1.126

Abstract

In the evaluation of Lagrangian particle tracking (LPT) measurement data the use of spatially binned flow statistics in the form of one, two or multi-point statistics is often an essential step towards better understanding of the measured flow fields. Increasingly there is a focus towards uncertainty quantification of the measurement system however these evaluations are seldom used to directly improve the statistics by directly involving them into the calculation. We present our Functional Binning approach which makes use of such uncertainty information as a core component for the calculation of improved statistics. The improvements towards prior approaches are shown utilizing synthetic data as well as data from a real-world subsonic jet experiment. Beyond the initial formulation for one-point statistics, we show that this approach is readily extended towards two-point statistics and explore more advanced utilizations of uncertainty information for the optimal selection of particle pairs. Furthermore, the benefits of more individualized particle error estimations are investigated and some strategies for archiving such information are investigated.

Item URL in elib:https://elib.dlr.de/144280/
Document Type:Conference or Workshop Item (Speech)
Additional Information:https://doi.org/10.18409/ispiv.v1i1, https://www.iit.edu/ispiv2021, Paper 247
Title:Enhanced functional binning for one- and two-point statistics using a posteriori Uncertainty Quantification of LPT data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Godbersen, Philippphilipp.godbersen (at) dlr.dehttps://orcid.org/0000-0002-0917-4897
Schröder, Andreasandreas.schroeder (at) dlr.dehttps://orcid.org/0000-0002-6971-9262
Date:August 2021
Journal or Publication Title:Proceedings of 14th International Symposium on Particle Image Velocimetry
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:1
DOI :10.18409/ispiv.v1i1.126
Page Range:1 - 12
Editors:
EditorsEmailEditor's ORCID iD
Christensen, Kenneth T.Kenneth.Christensen@iit.eduUNSPECIFIED
Publisher:ILLINOIS Tech / Paul V. Galvin Library
Series Name:Conference Proceedings
Status:Published
Keywords:Lagrangian particle tracking (LPT), one- and two-point statistics, STB processing
Event Title:14th International Symposium on Particle Image Velocimetry 2021
Event Location:Chicago, USA (online)
Event Type:international Conference
Event Dates:01.-04.08.2021
Organizer:Illinois Institute of Technology
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Virtual Aircraft and  Validation
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Experimental Methods, GO
Deposited By: Micknaus, Ilka
Deposited On:07 Jan 2022 17:58
Last Modified:22 Feb 2022 18:28

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