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Dense Lagrangian Particle Tracking and data assimilation in fluid mechanics

Schröder, Andreas (2023) Dense Lagrangian Particle Tracking and data assimilation in fluid mechanics. In: 15th International Symposium on Particle Image Velocimetry – ISPIV 2023, Seiten 1-2. The California State University (ScholarWorks). 15th International Symposium on Particle Image Velocimetry – ISPIV 2023, 2023-06-18 - 2023-06-21, San Diego, CA, USA.

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Offizielle URL: https://piv.sdsu.edu/keynote-speakers/

Kurzfassung

3D Lagrangian Particle Tracking (LPT) is an image-based flow measurement technique allowing to determine position, velocity and acceleration along a large number of particle tracks at high temporal resolution within the investigated volume. Providing many long individual particle tracks at statistically significant amounts transport and dispersion properties of the (turbulent) flow can be explored in detail. Furthermore, advanced binning procedures can produce a 3D array of important one- and multi-point statistics of the flow (like averages, Reynolds stresses, two-point-correlations etc.) at very high spatial resolution down to subpixel accuracies. 3D LPT is based on pulsed volumetric illumination of tracer particles inside the flow and imaging of the scattered particle light with temporal resolution onto typically three to six camera projections. The Shake-The-Box (STB) technique is an advanced 3D LPT method which combines the triangulation-based advanced Iterative Particle Reconstruction (IPR) technique with the exploitation of the temporal and spatial coherence of Lagrangian particle tracks in the investigated flow. STB enables the processing of particle image densities up to 0.15 ppp (particles per pixel) under good experimental conditions with an almost complete suppression of ghost particles. Subsequently, the dense scattered particle tracks are temporally filtered for estimating position, velocity and acceleration (material derivative) which can be used in a second step as input for data assimilation approaches using Navier-Stokes-constraints delivering the full time-resolved 3D velocity gradient tensor (VGT)- and pressure fields.

elib-URL des Eintrags:https://elib.dlr.de/196258/
Dokumentart:Konferenzbeitrag (Vortrag)
Zusätzliche Informationen:https://piv.sdsu.edu/, Keynote Speakers, Proceedings of the 15th International Symposium on Particle Image Velocimetry | ScholarWorks (calstate.edu)
Titel:Dense Lagrangian Particle Tracking and data assimilation in fluid mechanics
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Schröder, Andreasandreas.schroeder (at) dlr.dehttps://orcid.org/0000-0002-6971-9262140152214
Datum:Juni 2023
Erschienen in:15th International Symposium on Particle Image Velocimetry – ISPIV 2023
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenbereich:Seiten 1-2
Verlag:The California State University (ScholarWorks)
Name der Reihe:Conference Proceedings
Status:veröffentlicht
Stichwörter:Lagrangian particle tracking, data assimilation, Shake-The-Box, turbulence
Veranstaltungstitel:15th International Symposium on Particle Image Velocimetry – ISPIV 2023
Veranstaltungsort:San Diego, CA, USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:18 Juni 2023
Veranstaltungsende:21 Juni 2023
Veranstalter :SDSU
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Effizientes Luftfahrzeug
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L EV - Effizientes Luftfahrzeug
DLR - Teilgebiet (Projekt, Vorhaben):L - Virtuelles Flugzeug und Validierung
Standort: Göttingen
Institute & Einrichtungen:Institut für Aerodynamik und Strömungstechnik > Experimentelle Verfahren, GO
Hinterlegt von: Micknaus, Ilka
Hinterlegt am:09 Aug 2023 14:56
Letzte Änderung:24 Apr 2024 20:56

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