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Shin, Hyungmin and Schröder, Andreas (2024) On the accuracy of data assimilation algorithms for dense flow fields reconstructions. In: 26th International Congress of Theoretical and Applied Mechanics, ICTAM 2024 (FS0206), 2237 - 2238. 26th International Congress of Theoretical and Applied Mechanics, ICTAM 2024, 2024-08-25 - 2024-08-30, Daegu, Südkorea. ISBN 979-11-984760-9-8.
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Official URL: https://www.ictam2024.org/index.php?GP=pro/pro06&Topic=FS#body_wrap
Abstract
In this study, we explore the application of Physics Informed Neural Networks (PINNs) in approximating 3D flow fields. Synthetic datasets with varying particle concentrations from a subsampled DNS domain of forced isotropic turbulence are provided to PINNs. Through training PINNs, we derive fully reconstructed velocity and pressure fields for all cases and compare them to the ground truth. It is found that PINNs generally well approximate velocity and pressure, but there are still limitations in correctly predicting high-frequency regions.
| Item URL in elib: | https://elib.dlr.de/207804/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
| Title: | On the accuracy of data assimilation algorithms for dense flow fields reconstructions | ||||||||||||
| Authors: |
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| Date: | August 2024 | ||||||||||||
| Journal or Publication Title: | 26th International Congress of Theoretical and Applied Mechanics, ICTAM 2024 | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | No | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | No | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| Page Range: | 2237 - 2238 | ||||||||||||
| Editors: |
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| Series Name: | Book of Abstracts | ||||||||||||
| ISBN: | 979-11-984760-9-8 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | PINNs, Data Assimilation, Lagrangian particle tracking | ||||||||||||
| Event Title: | 26th International Congress of Theoretical and Applied Mechanics, ICTAM 2024 | ||||||||||||
| Event Location: | Daegu, Südkorea | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Event Start Date: | 25 August 2024 | ||||||||||||
| Event End Date: | 30 August 2024 | ||||||||||||
| Organizer: | ICTAM | ||||||||||||
| 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: | 02 Dec 2024 17:45 | ||||||||||||
| Last Modified: | 02 Dec 2024 17:45 |
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