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Reduced Order Models for Aerodynamic Applications, Loads and MDO

Verveld, Mark Johannes and Kier, Thiemo and Karcher, Niklas and Franz, Thomas and Abu-Zurayk, Mohammad and Ripepi, Matteo and Görtz, Stefan (2016) Reduced Order Models for Aerodynamic Applications, Loads and MDO. Deutscher Luft- und Raumfahrtkongress 2016, 13-15 Sep 2016, Braunschweig, Germany.

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This work gives an overview of Reduced Order Model (ROM) applications employed within the context of the DLR Digital-X project. The ROM methodology has found widespread application in fluid dynamics. In its direct application to CFD it seeks to reduce the computational complexity of a problem by reducing the number of degrees of freedom rather than simplifying the physical model. Here, parametric aerodynamic ROMs are used to provide pressure distributions based on high-fidelity CFD, but at lower evaluation time and storage than the original CFD model. ROMs for steady aerodynamic applications are presented. We consider ROMs combining proper orthogonal decomposition (POD) and Isomap, which is a manifold learning method, with interpolation methods as well as physics-based ROMs, where an approximate solution is found in the POD-subspace or non-linear manifold by minimizing the corresponding steady or unsteady flow-solver residual. The issue of how to train the ROM with high-fidelity CFD data is also addressed. The steady ROMs are used to predict the static aeroelastic loads in an MDO context, where the structural model is to be sized for the (aerodynamic) loads. They are also used in a process where an a priori identification of the critical load cases is of interest and the sheer number of load cases to be considered does not lend itself to high-fidelity CFD. We also show an approach combining correction of a linear loads analysis model using steady, rigid CFD solutions at various Mach numbers and angles of attack with a ROM of the corrected Aerodynamic Influence Coefficients (AICs). This integrates the results into a complete loads analysis model preserving aerodynamic nonlinearities while allowing fast evaluation across all model parameters. Thus, correction for the major nonlinearities, e.g. depending on Mach number and angle of attack combines with the linearity of the baseline model to yield a large domain of validity across all flow parameters at the expense of a relatively small number of CFD solutions. The different ROM methods are applied to 3D test cases and in particular to a transonic wing-body transport aircraft configuration.

Item URL in elib:https://elib.dlr.de/106137/
Document Type:Conference or Workshop Item (Lecture)
Title:Reduced Order Models for Aerodynamic Applications, Loads and MDO
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:15 September 2016
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:reduced order model, proper orthogonal decomposition, manifold learning, multidisciplinary design and optimization, aerodynamic influence coefficients, loads analysis
Event Title:Deutscher Luft- und Raumfahrtkongress 2016
Event Location:Braunschweig, Germany
Event Type:national Conference
Event Dates:13-15 Sep 2016
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 - Systems and Cabin (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control > Aircraft System Dynamics
Institute of Aerodynamics and Flow Technology > C²A²S²E - Center for Computer Applications in AeroSpace Science and Engineering
Deposited By: Verveld, Mark Johannes
Deposited On:21 Sep 2016 17:14
Last Modified:15 Jul 2019 10:26

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