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Schröder, Andreas and Schanz, Daniel and Jahn, Tobias and Godbersen, Philipp and Gesemann, Sebastian and Novara, Matteo and Geisler, Reinhard (2022) STB and FlowFit data assimilation. In: PIV Course 2022 TU-Delft and Burgers Center, NL. PIV Course 2022 TU-Delft and Burgers Center, NL, 2022-10-12, Delft,NL.
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Abstract
3D Lagrangian particle tracking (LPT) allows for position, velocity, and acceleration to be determined alongside a large number of individual particle tracks in the investigated volume. The advent of the dense 3D LPT technique Shake-The-Box (STB) in the past decade has opened further possibilities for characterizing unsteady flows by delivering input data for statistical analysis and powerful data assimilation techniques that use Navier–Stokes constraints. As a result, high-resolution Lagrangian and Eulerian data can be obtained, including long particle trajectories embedded in time-resolved 3D velocity and pressure fields.
| Item URL in elib: | https://elib.dlr.de/189374/ | ||||||||||||||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Lecture) | ||||||||||||||||||||||||||||||||
| Additional Information: | Lehrbeitrag PIV Course | ||||||||||||||||||||||||||||||||
| Title: | STB and FlowFit data assimilation | ||||||||||||||||||||||||||||||||
| Authors: |
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| Date: | 12 October 2022 | ||||||||||||||||||||||||||||||||
| Journal or Publication Title: | PIV Course 2022 TU-Delft and Burgers Center, NL | ||||||||||||||||||||||||||||||||
| Refereed publication: | No | ||||||||||||||||||||||||||||||||
| Open Access: | No | ||||||||||||||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||||||||||||||
| Series Name: | PIV Course 2022 TU-Delft and Burgers Center, NL | ||||||||||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||||||||||
| Keywords: | Shake-The-Box (STB), 3D Lagrangian particle tracking (LPT), FlowFit, high-resolution Lagrangian and Eulerian data | ||||||||||||||||||||||||||||||||
| Event Title: | PIV Course 2022 TU-Delft and Burgers Center, NL | ||||||||||||||||||||||||||||||||
| Event Location: | Delft,NL | ||||||||||||||||||||||||||||||||
| Event Type: | national Conference | ||||||||||||||||||||||||||||||||
| Event Date: | 12 October 2022 | ||||||||||||||||||||||||||||||||
| 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: | 14 Dec 2022 14:19 | ||||||||||||||||||||||||||||||||
| Last Modified: | 25 Jul 2025 17:54 |
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