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Introduction to AVT-351: Enhanced Computational Performance and Stability & Control Prediction for NATO Military Vehicles

Stradtner, Mario and Drazen, David A. and 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. ISBN 978-162410699-6.

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Official URL: https://arc.aiaa.org/doi/abs/10.2514/6.2023-0820

Abstract

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.

Item URL in elib:https://elib.dlr.de/198293/
Document Type:Conference or Workshop Item (Speech)
Title:Introduction to AVT-351: Enhanced Computational Performance and Stability & Control Prediction for NATO Military Vehicles
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Stradtner, MarioMario.Stradtner (at) dlr.dehttps://orcid.org/0000-0001-8038-9420UNSPECIFIED
Drazen, David A.Naval Surface Warfare Center - Caderock DivisionUNSPECIFIEDUNSPECIFIED
van Rooij, Michel P.C.Royal Netherlands Aerospace CentreUNSPECIFIEDUNSPECIFIED
Date:19 January 2023
Journal or Publication Title:AIAA SciTech 2023 Forum
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.2514/6.2023-0820
Publisher:American Institute of Aeronautics and Astronautics, Inc
ISBN:978-162410699-6
Status:Published
Keywords:Model Order Reduction, Aerodynamic Performance, Aerodynamic Characteristics, Computational Fluid Dynamics
Event Title:AIAA SciTech 2023 Forum
Event Location:National Harbor, MD, USA
Event Type:international Conference
Event Start Date:23 January 2023
Event End Date:27 January 2023
Organizer:American Institute of Aeronautics and Astronautics, Inc.
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L DT - Defense Technology
DLR - Research theme (Project):L - Effect
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology
Deposited By: Stradtner, Mario
Deposited On:09 Nov 2023 11:49
Last Modified:12 Feb 2025 07:58

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