Jäckel, Florian (2021) Progress on the Field Inversion and Machine Learning Approach with the DLR TAU Code. In: 20. STAB-Workshop - Jahresbericht 2021, Seiten 81-82. 20. STAB-Workshop 2021, 2021-11-16 - 2021-11-17, Göttingen, Deutschland.
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Offizielle URL: https://www.dlr.de/as/Portaldata/5/Resources/dokumente/veranstaltungen/stab_workshop/STAB-Jahresbericht-2021.pdf
Kurzfassung
Accurate prediction of turbulent flows is important due to their typical key roles in engineering and in science. However, scale-resolving methods like LES and DNS are often still too expensive for daily use and Reynolds-averaged Navier-Stokes (RANS) simulations are used instead. Here, the influence of turbulence on the mean flow is modeled via a turbulence model. RANS turbulence models have always been largely empirical and their development supported by data. Given the increasing availability of highly accurate data from DNS and LES simulations as well as from experiments, and the increasing maturity of machine learning techniques it is argued that RANS turbulence models could be improved further using machine learning.
elib-URL des Eintrags: | https://elib.dlr.de/145194/ | ||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||
Titel: | Progress on the Field Inversion and Machine Learning Approach with the DLR TAU Code | ||||||||
Autoren: |
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Datum: | 16 November 2021 | ||||||||
Erschienen in: | 20. STAB-Workshop - Jahresbericht 2021 | ||||||||
Referierte Publikation: | Ja | ||||||||
Open Access: | Nein | ||||||||
Gold Open Access: | Nein | ||||||||
In SCOPUS: | Nein | ||||||||
In ISI Web of Science: | Nein | ||||||||
Seitenbereich: | Seiten 81-82 | ||||||||
Herausgeber: |
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Name der Reihe: | Jahresbericht | ||||||||
Status: | veröffentlicht | ||||||||
Stichwörter: | Data-driven, Turbulence Modelling, Field Inversion, Machine Learning, Spalart-Allmaras | ||||||||
Veranstaltungstitel: | 20. STAB-Workshop 2021 | ||||||||
Veranstaltungsort: | Göttingen, Deutschland | ||||||||
Veranstaltungsart: | Workshop | ||||||||
Veranstaltungsbeginn: | 16 November 2021 | ||||||||
Veranstaltungsende: | 17 November 2021 | ||||||||
Veranstalter : | DLR, STAB | ||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||
HGF - Programm: | Luftfahrt | ||||||||
HGF - Programmthema: | Effizientes Luftfahrzeug | ||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||
DLR - Forschungsgebiet: | L EV - Effizientes Luftfahrzeug | ||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Digitale Technologien | ||||||||
Standort: | Göttingen | ||||||||
Institute & Einrichtungen: | Institut für Aerodynamik und Strömungstechnik > CASE, GO | ||||||||
Hinterlegt von: | Jäckel, Florian | ||||||||
Hinterlegt am: | 05 Jan 2022 12:14 | ||||||||
Letzte Änderung: | 24 Apr 2024 20:44 |
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