Mommert, Michael and Bauer, Christian and Wagner, Claus (2024) Temperature assimilation for convective flows by convolutional neural networks. In: 6th International Conference on Progress in Turbulence, iTi 2014, 404 (1), pp. 319-325. Springer Link. iTi X Conference on Turbulence 2023, 2023-07-24 - 2023-07-26, Bertinoro, Italien. doi: 10.1007/978-3-031-55924-2_43. ISBN 978-3-031-55923-5. ISSN 0930-8989.
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Official URL: https://www.fdy.tu-darmstadt.de/iti/itihome_2.en.jsp
Abstract
A convolutional encoder-decoder network trained on instantaneous velocity fields is used to assimilate corresponding temperature fields of convective flows. In particular, synthetic data of Rayleigh-Bénard convection in a cubic sample at Ra=10^8, Pr=0.7 and Ra=10^10, Pr=6.9 is studied and the shape and size of the windowed input and output of the network are varied to determine a favorable domain. Additionally, the amount of training data is also varied to determine it’s extrapolation potential. This approach proves to predict the temperature fields well for all parameter variations considered. Particularly good correlations between the predictions and the ground truth are achieved for horizontal planar domains and large amounts of training data.
Item URL in elib: | https://elib.dlr.de/194433/ | ||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Poster) | ||||||||||||||||||||
Additional Information: | Print ISBN 978-3-031-55923-5, Online ISBN 978-3-031-55924-2, Softcover ISBN 978-3-031-55930-3, eBook ISBN978-3-031-55924-2, Series ISSN 0930-8989, Series E-ISSN 1867-4941 | ||||||||||||||||||||
Title: | Temperature assimilation for convective flows by convolutional neural networks | ||||||||||||||||||||
Authors: |
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Date: | 6 August 2024 | ||||||||||||||||||||
Journal or Publication Title: | 6th International Conference on Progress in Turbulence, iTi 2014 | ||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||
Volume: | 404 | ||||||||||||||||||||
DOI: | 10.1007/978-3-031-55924-2_43 | ||||||||||||||||||||
Page Range: | pp. 319-325 | ||||||||||||||||||||
Editors: |
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Publisher: | Springer Link | ||||||||||||||||||||
Series Name: | Springer Proceedings in Physics | ||||||||||||||||||||
ISSN: | 0930-8989 | ||||||||||||||||||||
ISBN: | 978-3-031-55923-5 | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | convection, assimilation, convolutional neural networks | ||||||||||||||||||||
Event Title: | iTi X Conference on Turbulence 2023 | ||||||||||||||||||||
Event Location: | Bertinoro, Italien | ||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||
Event Start Date: | 24 July 2023 | ||||||||||||||||||||
Event End Date: | 26 July 2023 | ||||||||||||||||||||
Organizer: | TU Darmstadt | ||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
HGF - Program: | Transport | ||||||||||||||||||||
HGF - Program Themes: | Rail Transport | ||||||||||||||||||||
DLR - Research area: | Transport | ||||||||||||||||||||
DLR - Program: | V SC Schienenverkehr | ||||||||||||||||||||
DLR - Research theme (Project): | V - RoSto - Rolling Stock | ||||||||||||||||||||
Location: | Göttingen | ||||||||||||||||||||
Institutes and Institutions: | Institute for Aerodynamics and Flow Technology > Ground Vehicles | ||||||||||||||||||||
Deposited By: | Mommert, Michael | ||||||||||||||||||||
Deposited On: | 25 Aug 2023 15:57 | ||||||||||||||||||||
Last Modified: | 23 Aug 2024 15:33 |
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