Gesemann, Sebastian (2020) FlowFit3: Fast Data Assimilation for Recovering Instantaneous Details of Incompressible Flows based on scattered data. 3rd Workshop and 1st Challenge on Data Assimilation & CFD Processing for PIV and Lagrangian Particle Tracking, 2020-11-19 - 2020-11-20, Online.
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Offizielle URL: http://cfdforpiv.dlr.de
Kurzfassung
This works presents an evolution of the FlowFit method for reconstructing incompressible flow fields (specifically velocity and pressure) based on scattered velocity and acceleration data. It can thus be used to process the data obtained from Lagrangian Particle Tracking (LPT) in order to recover structures of fluid motion. The goal of this development was to improve both accuracy and speed over its predecessor so this method can be used in experiments with large measurement domains and/or a high number of seeding particles. The method will be explained and assessed in comparison with its predecessor using synthetic data derived from fluid simulations.
elib-URL des Eintrags: | https://elib.dlr.de/138314/ | ||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||
Titel: | FlowFit3: Fast Data Assimilation for Recovering Instantaneous Details of Incompressible Flows based on scattered data | ||||||||
Autoren: |
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Datum: | November 2020 | ||||||||
Referierte Publikation: | Nein | ||||||||
Open Access: | Ja | ||||||||
Gold Open Access: | Nein | ||||||||
In SCOPUS: | Nein | ||||||||
In ISI Web of Science: | Nein | ||||||||
Seitenbereich: | Seiten 26-27 | ||||||||
Name der Reihe: | Book of Abstracts online | ||||||||
Status: | veröffentlicht | ||||||||
Stichwörter: | Data Assimilation, FlowFit | ||||||||
Veranstaltungstitel: | 3rd Workshop and 1st Challenge on Data Assimilation & CFD Processing for PIV and Lagrangian Particle Tracking | ||||||||
Veranstaltungsort: | Online | ||||||||
Veranstaltungsart: | Workshop | ||||||||
Veranstaltungsbeginn: | 19 November 2020 | ||||||||
Veranstaltungsende: | 20 November 2020 | ||||||||
Veranstalter : | Andreas Schröder, Benjamin Leclaire, Andrea Sciaccitano | ||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||
HGF - Programm: | Luftfahrt | ||||||||
HGF - Programmthema: | Flugzeuge | ||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||
DLR - Forschungsgebiet: | L AR - Aircraft Research | ||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Simulation und Validierung (alt) | ||||||||
Standort: | Göttingen | ||||||||
Institute & Einrichtungen: | Institut für Aerodynamik und Strömungstechnik > Experimentelle Verfahren, GO | ||||||||
Hinterlegt von: | Micknaus, Ilka | ||||||||
Hinterlegt am: | 10 Dez 2020 10:56 | ||||||||
Letzte Änderung: | 24 Apr 2024 20:40 |
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