View in EDS

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

Saved in:
Bibliographic Details
Title: Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design.
Authors: Lefebvre, T.1 (AUTHOR) thierry.lefebvre@onera.fr, Bartoli, N.1 (AUTHOR), Dubreuil, S.1 (AUTHOR), Panzeri, M.1,2 (AUTHOR), Lombardi, R.1,2 (AUTHOR), Della Vecchia, P.1,3 (AUTHOR), Stingo, L.1,3 (AUTHOR), Nicolosi, F.1,3 (AUTHOR), De Marco, A.1,3 (AUTHOR), Ciampa, P.D.1,4 (AUTHOR), Anisimov, K.1,5 (AUTHOR), Savelyev, A.1,5 (AUTHOR), Mirzoyan, A.1,6 (AUTHOR), Isyanov, A.1,6 (AUTHOR)
Source: Progress in Aerospace Sciences. Nov2020, Vol. 119, pN.PAG-N.PAG. 1p.
Subjects: Multidisciplinary design optimization, Mathematical optimization, Genetic algorithms, Uncertainty, Workflow management systems, Robust control
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. [ABSTRACT FROM AUTHOR]
Copyright of Progress in Aerospace Sciences is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 147508208
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lefebvre%2C+T%2E%22">Lefebvre, T.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> thierry.lefebvre@onera.fr</i><br /><searchLink fieldCode="AR" term="%22Bartoli%2C+N%2E%22">Bartoli, N.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dubreuil%2C+S%2E%22">Dubreuil, S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Panzeri%2C+M%2E%22">Panzeri, M.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lombardi%2C+R%2E%22">Lombardi, R.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Della+Vecchia%2C+P%2E%22">Della Vecchia, P.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stingo%2C+L%2E%22">Stingo, L.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nicolosi%2C+F%2E%22">Nicolosi, F.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22De+Marco%2C+A%2E%22">De Marco, A.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ciampa%2C+P%2ED%2E%22">Ciampa, P.D.</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Anisimov%2C+K%2E%22">Anisimov, K.</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Savelyev%2C+A%2E%22">Savelyev, A.</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mirzoyan%2C+A%2E%22">Mirzoyan, A.</searchLink><relatesTo>1,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Isyanov%2C+A%2E%22">Isyanov, A.</searchLink><relatesTo>1,6</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Progress+in+Aerospace+Sciences%22">Progress in Aerospace Sciences</searchLink>. Nov2020, Vol. 119, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Multidisciplinary+design+optimization%22">Multidisciplinary design optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertainty%22">Uncertainty</searchLink><br /><searchLink fieldCode="DE" term="%22Workflow+management+systems%22">Workflow management systems</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Progress in Aerospace Sciences is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=147508208
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.paerosci.2020.100649
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Multidisciplinary design optimization
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Genetic algorithms
        Type: general
      – SubjectFull: Uncertainty
        Type: general
      – SubjectFull: Workflow management systems
        Type: general
      – SubjectFull: Robust control
        Type: general
    Titles:
      – TitleFull: Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lefebvre, T.
      – PersonEntity:
          Name:
            NameFull: Bartoli, N.
      – PersonEntity:
          Name:
            NameFull: Dubreuil, S.
      – PersonEntity:
          Name:
            NameFull: Panzeri, M.
      – PersonEntity:
          Name:
            NameFull: Lombardi, R.
      – PersonEntity:
          Name:
            NameFull: Della Vecchia, P.
      – PersonEntity:
          Name:
            NameFull: Stingo, L.
      – PersonEntity:
          Name:
            NameFull: Nicolosi, F.
      – PersonEntity:
          Name:
            NameFull: De Marco, A.
      – PersonEntity:
          Name:
            NameFull: Ciampa, P.D.
      – PersonEntity:
          Name:
            NameFull: Anisimov, K.
      – PersonEntity:
          Name:
            NameFull: Savelyev, A.
      – PersonEntity:
          Name:
            NameFull: Mirzoyan, A.
      – PersonEntity:
          Name:
            NameFull: Isyanov, A.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2020
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 03760421
          Numbering:
            – Type: volume
              Value: 119
          Titles:
            – TitleFull: Progress in Aerospace Sciences
              Type: main
ResultId 1