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Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design

Lefebvre, T. and Bartoli, N. and Dubreuil, S. and Panzeri, M. and Lombardi, R. and Della Vecchia, P. and Stingo, L. and Nicolosi, F. and De Marco, A. and Ciampa, Pier Davide and Anisimov, K. and Savelyev, A. and Mirzoyan, A. and Isyanov, A. (2020) Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design. Progress in Aerospace Sciences, 119. Elsevier. doi: 10.1016/j.paerosci.2020.100649. ISSN 0376-0421.

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Official URL: https://www.sciencedirect.com/science/article/abs/pii/S0376042120300610

Abstract

This paper presents methodological investigations performed in research activities in the field of Multi-disciplinary Design and Optimization (MDO) for overall aircraft design in the EU funded research project AGILE (2015–2018). In the AGILE project a team of 19 industrial, research and academic partners from Europe, Canada and Russia are working together to develop the next generation of MDO environment that targets significant reductions in aircraft development costs and time to market, leading to cheaper and greener aircraft. The paper introduces the AGILE project structure and describes the achievements of the 1st year that led to a reference distributed MDO system. A focus is then made on different novel optimization techniques studied during the 2nd year, all aiming at easing the optimization of complex workflows that are characterized by a high number of discipline interdependencies and a large number of design variables in the context of multi-level processes and multi-partner collaborative engineering projects. Three optimization strategies are introduced and validated for a conventional aircraft. First, a multi-objective technique based on Nash Games and Genetic Algorithm is used on a wing design problem. Then a zoom is made on the nacelle design where a surrogate-based optimizer is used to solve a mono-objective problem. Finally a robust approach is adopted to study the effects of uncertainty in parameters on the nacelle design process. These new capabilities have been integrated in the AGILE collaborative framework that in the future will be used to study and optimize novel unconventional aircraft configurations.

Item URL in elib:https://elib.dlr.de/136893/
Document Type:Article
Title:Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Lefebvre, T.ONERAUNSPECIFIED
Bartoli, N.ONERAUNSPECIFIED
Dubreuil, S.ONERAUNSPECIFIED
Panzeri, M.NOESISUNSPECIFIED
Lombardi, R.NOESISUNSPECIFIED
Della Vecchia, P.University of Naples “Federico II”UNSPECIFIED
Stingo, L.University of Naples “Federico II”UNSPECIFIED
Nicolosi, F.University of Naples “Federico II”UNSPECIFIED
De Marco, A.University of Naples “Federico II”UNSPECIFIED
Ciampa, Pier DavidePier.Ciampa (at) dlr.dehttps://orcid.org/0000-0003-1652-4899
Anisimov, K.TsAGIUNSPECIFIED
Savelyev, A.TsAGIUNSPECIFIED
Mirzoyan, A.CIAMUNSPECIFIED
Isyanov, A.CIAMUNSPECIFIED
Date:November 2020
Journal or Publication Title:Progress in Aerospace Sciences
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:119
DOI :10.1016/j.paerosci.2020.100649
Publisher:Elsevier
ISSN:0376-0421
Status:Published
Keywords:MDO Optimization Aircraft design Mono and multi-objective optimization Robust design
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment
Location: Hamburg
Institutes and Institutions:Institute of System Architectures in Aeronautics > Aircraft Design and System Integration
Deposited By: Ciampa, Pier Davide
Deposited On:29 Oct 2020 15:17
Last Modified:29 Oct 2020 15:17

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