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Reduced-order models for aerodynamic applications, loads and MDO

Ripepi, Matteo and Verveld, Mark Johannes and Karcher, Niklas and Franz, Thomas and Abu-Zurayk, Mohammad and Görtz, Stefan and Kier, Thiemo (2018) Reduced-order models for aerodynamic applications, loads and MDO. CEAS Aeronautical Journal, 9 (1), pp. 171-193. Springer. DOI: 10.1007/s13272-018-0283-6 ISBN 1869-5582 ISSN 1869-5582

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Official URL: https://doi.org/10.1007/s13272-018-0283-6

Abstract

This article gives an overview of reduced-order modeling work performed in the DLR project Digital-X. Parametric aerodynamic reduced-order models (ROMs) are used to predict surface pressure distributions based on high-fidelity computational fluid dynamics (CFD), but at lower evaluation time and storage than the original CFD model. ROMs for steady aerodynamic applications are built using proper orthogonal decomposition and Isomap, a manifold learning method. Approximate solutions in the so-obtained low-dimensional representations of the data are found with interpolation techniques, or by minimizing the corresponding steady flow-solver residual. The latter approach produces physics-based ROMs driven by the governing equations. The steady ROMs are used to predict the static aeroelastic loads in a multidisciplinary design and optimization 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. An approach to correct a linear loads analysis model using steady CFD solutions at various Mach numbers and angles of attack and a ROM of the corrected aerodynamic influence coefficients is also shown. This results in a complete loads analysis model preserving aerodynamic nonlinearities while allowing fast evaluation across all model parameters. The different ROM methods are applied to a 3D test case of a transonic wing-body transport aircraft configuration.

Item URL in elib:https://elib.dlr.de/118965/
Document Type:Article
Title:Reduced-order models for aerodynamic applications, loads and MDO
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ripepi, MatteoMatteo.Ripepi (at) dlr.deUNSPECIFIED
Verveld, Mark JohannesMark.Verveld (at) dlr.deUNSPECIFIED
Karcher, Niklasniklas.karcher (at) dlr.deUNSPECIFIED
Franz, Thomasthomas.franz (at) dlr.deUNSPECIFIED
Abu-Zurayk, MohammadMohammad.Abu-Zurayk (at) dlr.deUNSPECIFIED
Görtz, StefanStefan.Goertz (at) dlr.deUNSPECIFIED
Kier, ThiemoThiemo.Kier (at) DLR.deUNSPECIFIED
Date:10 February 2018
Journal or Publication Title:CEAS Aeronautical Journal
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:9
DOI :10.1007/s13272-018-0283-6
Page Range:pp. 171-193
Publisher:Springer
ISSN:1869-5582
ISBN:1869-5582
Status:Published
Keywords:CFD, aerodynamics, POD, isomap, manifold learning, ROM, interpolation, loads, AIC, MDO, Digital-X
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 - Simulation and Validation, L - VicToria
Location: Braunschweig , Oberpfaffenhofen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, BS
Institute of System Dynamics and Control > Aircraft System Dynamics
Deposited By: Görtz, Stefan
Deposited On:09 Apr 2018 13:14
Last Modified:06 Sep 2019 15:24

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