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Comparing Two Multidisciplinary Optimization Formulations of Trimmed Aircraft Subject to Industry-relevant Loads and Constraints

Abu-Zurayk, Mohammad and Merle, Andrei and Ilic, Caslav and Feldwisch, Johan Moritz and Schulze, Matthias and Häßy, Jannik and De Lozzo, Matthias and Gallard, Francios and Gazaix, Anne (2021) Comparing Two Multidisciplinary Optimization Formulations of Trimmed Aircraft Subject to Industry-relevant Loads and Constraints. AIAA Aviation2021, 02.-06. Aug. 2021, Washington DC / USA - Online.

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Industry-relevant multidisciplinary design and optimization (MDO) processes engage numerous computationally intensive, disciplinary analysis and design, tasks. This motivates not only the use of high-performance computing resources for tackling the design and optimization problems, but also the search for efficient MDO algorithms and formulations. On the algorithmic side, the MDO chains developed in this work are gradient- based. Such algorithms are known for their efficiency in finding optima when compared to gradient-free algorithms. Concerning the formulations, several studies in the literature showed the effect of MDO formulation on the convergence efficiency. However, these studies used mostly model problems rather than realistic aircraft design problems. The target of our study is to validate a promising data-driven scalable methodology for testing MDO formulations by comparing the obtained results to the results of realistic MDO tasks that are provided and defined by AIRBUS. Two MDO formulations are highlighted and investigated. The first one is driven by one optimizer that controls all design parameters. The second is driven by two optimizers; one responsible for aeroelastic performance analysis and the other responsible for the structure sizing process. The work is performed on the research aircraft configuration; AIRBUS’ XRF-1. The first results of the realistic optimizations showed that engaging two optimizers is more efficient, for the given objective function. The final paper will validate these results carefully and conclude on the reliability of the data-driven scalable methodology.

Item URL in elib:https://elib.dlr.de/144473/
Document Type:Conference or Workshop Item (Speech)
Title:Comparing Two Multidisciplinary Optimization Formulations of Trimmed Aircraft Subject to Industry-relevant Loads and Constraints
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Abu-Zurayk, MohammadMohammed.Abu-Zurayk (at) dlr.deUNSPECIFIED
Merle, AndreiAndrei.Merle (at) dlr.deUNSPECIFIED
Ilic, CaslavCaslav.Ilic (at) dlr.deUNSPECIFIED
Feldwisch, Johan MoritzJohan.Feldwisch (at) dlr.deUNSPECIFIED
Schulze, MatthiasMatthias.Schulze (at) dlr.deUNSPECIFIED
Häßy, JannikJannik.Haessy (at) dlr.deUNSPECIFIED
De Lozzo, Matthiasmatthias.delozzo (at) irt-saintexupery.comUNSPECIFIED
Gallard, Franciosfrancois.gallard (at) irt-saintexupery.comUNSPECIFIED
Gazaix, Anneanne.gazaix (at) irt-saintexupery.comUNSPECIFIED
Date:7 August 2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:MDO formulation, Adjoint Approach, Aero-Structure Optimization
Event Title:AIAA Aviation2021
Event Location:Washington DC / USA - Online
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
Location: Braunschweig , Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, BS
Institute for Aerodynamics and Flow Technology > Transport Aircraft
Institute of Aeroelasticity > Loads Analysis and Aeroelastic Design
Institute of Aeroelasticity > Aeroelastic Simulation
Deposited By: Abu-Zurayk, Mohammad
Deposited On:19 Oct 2021 14:13
Last Modified:19 Oct 2021 14:13

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