DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

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

[img] PDF

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


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
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 ISI Web of Science:No
DOI :10.1007/s13272-018-0283-6
Page Range:pp. 171-193
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

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.