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A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project

Lefebvre, Thierry and Bartoli, Nathalie and Dubreuil, Sylvain and Panzeri, Marco and Lombardi, Riccardo and Lammen, Wim and Zhang, Mengmeng and van Gent, Imco and Ciampa, Pier Davide (2018) A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project. AIAA. AIAA 2018 Multidisciplinary Analysis and Optimization Conference, Atlanta, Georgia. DOI: 10.2514/6.2018-3252

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Official URL: http://dx.doi.org/10.2514/6.2018-3252

Abstract

In this paper methodological investigations regarding an innovative Multidisciplinary De- sign and Optimization (MDO) approach for conceptual aircraft design are presented. These research activities are part of the ongoing EU-funded research project AGILE. The next gener- ation of aircraft MDO processes is developed in AGILE, which targets significant reductions in aircraft development cost and time to market, leading to cheaper and greener aircraft solutions. The paper introduces the AGILE project structure and recalls the achievements of the first year of activities where a reference distributed MDO system has been formulated, deployed and applied to the design and optimization of a reference conventional aircraft configuration. Then, investigations conducted in the second year are presented, all aiming at making the complex optimization workflows easier to handle, characterized by a high degree of discipline interdependencies, multi-level processes and multi-partner collaborative engineering activi- ties. The paper focuses on an innovative approach in which knowledge-based engineering and collaborative engineering techniques are used to handle a complex aircraft design workflow. Surrogate models replacing clusters of analysis disciplines have been developed and applied to make workflow execution more efficient. The paper details the different steps of the developed approach to set up and operate this test case, involving a team of aircraft design and surrogate modelling specialists, and taking advantage of the AGILE MDO framework. To validate the approach, different executable workflows were generated automatically and used to efficiently compare different MDO formulations. The use of surrogate models for clusters of design competences have been proved to be efficient approach not only to decrease the computational time but also to benchmark different MDO formulations on a complex optimization problem.

Item URL in elib:https://elib.dlr.de/126272/
Document Type:Conference or Workshop Item (Speech)
Title:A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Lefebvre, ThierryUNSPECIFIEDUNSPECIFIED
Bartoli, NathalieUNSPECIFIEDUNSPECIFIED
Dubreuil, SylvainUNSPECIFIEDUNSPECIFIED
Panzeri, MarcoUNSPECIFIEDUNSPECIFIED
Lombardi, RiccardoUNSPECIFIEDUNSPECIFIED
Lammen, WimUNSPECIFIEDUNSPECIFIED
Zhang, MengmengUNSPECIFIEDUNSPECIFIED
van Gent, ImcoUNSPECIFIEDUNSPECIFIED
Ciampa, Pier DavidePier.Ciampa (at) dlr.dehttps://orcid.org/0000-0003-1652-4899
Date:June 2018
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.2514/6.2018-3252
Publisher:AIAA
Status:Published
Keywords:AGILE, MDO, Surrogate
Event Title:AIAA 2018 Multidisciplinary Analysis and Optimization Conference
Event Location:Atlanta, Georgia
Event Type:international Conference
Organizer:AIAA
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 Jan 2019 14:00
Last Modified:29 Jan 2019 14:00

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