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Towards surrogate-based aero-structural design optimization of an Unmanned Aerial Vehicle

Walther, Jan-Niclas and Torrigiani, Francesco (2019) Towards surrogate-based aero-structural design optimization of an Unmanned Aerial Vehicle. 9th EASN International Conference on Innovation in Aviation and Space, 03.-06. Sept. 2019, Athen, Griechenland. (Unpublished)

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In order to be able to assess also unconventional aircraft configurations, aircraft designers need to take into account physics-based analyses even during the early design stages. This highly multidisciplinary task requires the contributions and expertise of several different disciplinary specialists. This also applies to unmanned aerial vehicles, where improvements in performance yield a tactical advantage. In this paper, a partitioned design optimization process is presented, for the OptiMALE UAV configuration, originally introduced during the AeroStruct project and was further investigated during the AGILE project. The optimization will couple panel method aerodynamics and structural sizing to find the design with the maximum range. The process is set up in a modular fashion, using common data models as interfaces. The initial design is provided in the Common Parametric Aircraft Configuration Schema (CPACS), and serves as common input for the disciplinary model generators. The multidisciplinary analysis (MDA) process itself is implemented in Python as a Gauss-Seidel fixed point iteration, using comprehensive interfaces to the disciplinary analysis tools. The structural analysis and sizing is performed on a beam and shell model. For the aerodynamic analysis, a 3D potential method for subsonic flow applying the Green’s function method to the small perturbation potential flow equation after Morino has been implemented. The loads resulting from the converged MDA are used as inputs for a sizing optimization of the wing structural components using Lagrange. Finally, a mission simulation is performed using the updated massed to yield the range of the design. The optimization will be implemented in two steps. First, a design of experiments is performed on the wing design variables. Kriging is used to construct a metamodel from the DOE results, which provides gradients for a subsequent gradient-based optimization.

Item URL in elib:https://elib.dlr.de/132796/
Document Type:Conference or Workshop Item (Speech)
Title:Towards surrogate-based aero-structural design optimization of an Unmanned Aerial Vehicle
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Walther, Jan-NiclasJan-Niclas.Walther (at) dlr.dehttps://orcid.org/0000-0001-5738-658X
Torrigiani, FrancescoFrancesco.Torrigiani (at) dlr.deUNSPECIFIED
Date:5 September 2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:CPACS, MDO, Computational Aeroelasticity, Structural Sizing, Overall Aircraft Design, Surrogate Modeling
Event Title:9th EASN International Conference on Innovation in Aviation and Space
Event Location:Athen, Griechenland
Event Type:international Conference
Event Dates:03.-06. Sept. 2019
Organizer:European Aeronautics Science Network (EASN)
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 - Concepts and Integration (old)
Location: Hamburg
Institutes and Institutions:Institute of System Architectures in Aeronautics > Aircraft Design and System Integration
Deposited By: Walther, Jan-Niclas
Deposited On:19 Dec 2019 09:08
Last Modified:19 Dec 2019 09:08

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