Stradtner, Mario und Drazen, David A. und van Rooij, Michel P.C. (2023) Introduction to AVT-351: Enhanced Computational Performance and Stability & Control Prediction for NATO Military Vehicles. In: AIAA SciTech 2023 Forum. American Institute of Aeronautics and Astronautics, Inc. AIAA SciTech 2023 Forum, 2023-01-23 - 2023-01-27, National Harbor, MD, USA. doi: 10.2514/6.2023-0820.
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Offizielle URL: https://arc.aiaa.org/doi/abs/10.2514/6.2023-0820
Kurzfassung
NATO/STO research task group AVT-351 is working on the development of enhanced numerical methods to generate performance and stability & control data sets at feasible cost. Current use of computational fluid dynamics for military vehicle design is limited by tremendous cost and timescales when providing comprehensive data sets. AVT-351 is investigating the application of reduced order modeling techniques for time-dependent maneuver prediction and data set population. Experiments and computational fluid dynamics are used to efficiently provide highly accurate input data for reduced order models built for four different air and sea vehicles. Assessment of different techniques includes applicability for control system and flight dynamics modeling. An overview of objectives, use cases, methods and ongoing efforts as well as initial results is presented.
elib-URL des Eintrags: | https://elib.dlr.de/198293/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Introduction to AVT-351: Enhanced Computational Performance and Stability & Control Prediction for NATO Military Vehicles | ||||||||||||||||
Autoren: |
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Datum: | 19 Januar 2023 | ||||||||||||||||
Erschienen in: | AIAA SciTech 2023 Forum | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.2514/6.2023-0820 | ||||||||||||||||
Verlag: | American Institute of Aeronautics and Astronautics, Inc | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Model Order Reduction, Aerodynamic Performance, Aerodynamic Characteristics, Computational Fluid Dynamics | ||||||||||||||||
Veranstaltungstitel: | AIAA SciTech 2023 Forum | ||||||||||||||||
Veranstaltungsort: | National Harbor, MD, USA | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 23 Januar 2023 | ||||||||||||||||
Veranstaltungsende: | 27 Januar 2023 | ||||||||||||||||
Veranstalter : | American Institute of Aeronautics and Astronautics, Inc. | ||||||||||||||||
HGF - Forschungsbereich: | keine Zuordnung | ||||||||||||||||
HGF - Programm: | keine Zuordnung | ||||||||||||||||
HGF - Programmthema: | keine Zuordnung | ||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | L DT - Verteidigungstechnologie | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Wirkung | ||||||||||||||||
Standort: | Braunschweig | ||||||||||||||||
Institute & Einrichtungen: | Institut für Aerodynamik und Strömungstechnik | ||||||||||||||||
Hinterlegt von: | Stradtner, Mario | ||||||||||||||||
Hinterlegt am: | 09 Nov 2023 11:49 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:58 |
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