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Liu, Dishi and Maruyama, Daigo and Görtz, Stefan (2020) Machine Learning for Aerodynamic Uncertainty Quantification. In: ERCIM News Special Theme "Solving Engineering Problems with Machine Learning" (122). pp. 20-21. ISSN 0926-4981.
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Official URL: https://ercim-news.ercim.eu/images/stories/EN122/EN122-web.pdf
Abstract
Within the framework of the project "Uncertainty Management for Robust Industrial Design in Aeronautics" (UMRIDA), funded by the European Union, several machine learning-based predictive models were compared in terms of their efficiency in estimating statistics of aerodynamic performance of aerofoils. The results show that the models based on both samples and gradients achieve better accuracy than those based solely on samples at the same computational costs.
| Item URL in elib: | https://elib.dlr.de/135557/ | ||||||||||||||||
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| Document Type: | Contribution to a Collection | ||||||||||||||||
| Title: | Machine Learning for Aerodynamic Uncertainty Quantification | ||||||||||||||||
| Authors: |
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| Date: | July 2020 | ||||||||||||||||
| Journal or Publication Title: | ERCIM News | ||||||||||||||||
| Refereed publication: | No | ||||||||||||||||
| Open Access: | No | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||
| Page Range: | pp. 20-21 | ||||||||||||||||
| Editors: |
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| Series Name: | Special Theme "Solving Engineering Problems with Machine Learning" | ||||||||||||||||
| ISSN: | 0926-4981 | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | CFD, aerodynamics, uncertainty | ||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
| HGF - Program: | Aeronautics | ||||||||||||||||
| HGF - Program Themes: | fixed-wing aircraft | ||||||||||||||||
| DLR - Research area: | Aeronautics | ||||||||||||||||
| DLR - Program: | L AR - Aircraft Research | ||||||||||||||||
| DLR - Research theme (Project): | L - Simulation and Validation (old) | ||||||||||||||||
| Location: | Braunschweig | ||||||||||||||||
| Institutes and Institutions: | Institute for Aerodynamics and Flow Technology > CASE, BS | ||||||||||||||||
| Deposited By: | Görtz, Stefan | ||||||||||||||||
| Deposited On: | 08 Sep 2020 07:31 | ||||||||||||||||
| Last Modified: | 20 Jun 2021 15:53 |
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