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Fusing distributed aerodynamic data using Bayesian Gappy Proper Orthogonal Decomposition

Bertram, Anna and Bekemeyer, Philipp and Held, Matthias (2021) Fusing distributed aerodynamic data using Bayesian Gappy Proper Orthogonal Decomposition. In: AIAA AVIATION 2021 Forum. AIAA. AIAA Aviation 2021 Forum, 02.-06. Aug. 2021, Virtual event. doi: 10.2514/6.2021-2602.

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Official URL: https://arc.aiaa.org/doi/10.2514/6.2021-2602


During the development of an aircraft, a multitude of aerodynamic data is required for different flight conditions throughout the flight envelope. Nowadays, a large portion of this data is routinely acquired by Computational Fluid Dynamics simulations. However, due to modeling and convergence issues especially for extreme flight conditions, numerical data cannot be reliably generated throughout the entire flight envelope yet. Hence, numerical data is complemented by data from wind tunnel experiments and flight testing. However, the data from these different sources will always show some discrepancies to deal with. Data fusion methods aim at combining the individual strengths and weaknesses of data from different sources in order to provide a consistent data set for the entire parameter domain. In this work we propose an extension to the well established gappy proper orthogonal decomposition technique by interpreting the occurring least-squares problem as a regression task. A Bayesian perspective is imposed to account for uncertainties during the data fusion process. This involves a kernelized regression formulation which also leverages the problem of linearity imposed by the dimensionality reduction method. We demonstrate the performance and robustness of the approach investigating an industrial-relevant, large-scale aircraft test case fusing high quality experimental and numerical data.

Item URL in elib:https://elib.dlr.de/144590/
Document Type:Conference or Workshop Item (Speech)
Title:Fusing distributed aerodynamic data using Bayesian Gappy Proper Orthogonal Decomposition
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Bertram, AnnaAnna.Bertram (at) dlr.dehttps://orcid.org/0000-0002-2757-670X
Bekemeyer, PhilippPhilipp.Bekemeyer (at) dlr.deUNSPECIFIED
Held, Matthiasmatthias.held (at) airbus.comUNSPECIFIED
Date:August 2021
Journal or Publication Title:AIAA AVIATION 2021 Forum
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.2514/6.2021-2602
Series Name:AIAA Aviation Forum
Keywords:Data Fusion, Gaussian Process Regression, CFD, wind tunnel tests
Event Title:AIAA Aviation 2021 Forum
Event Location:Virtual event
Event Type:international Conference
Event Dates:02.-06. Aug. 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Virtual Aircraft and  Validation, L - Digital Technologies
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, BS
Deposited By: Bertram, Dr. Anna
Deposited On:19 Oct 2021 08:51
Last Modified:22 Oct 2021 10:54

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