Global–local multidisciplinary optimisation for the evaluation of local constraints on finer meshes in preliminary aircraft design

  • Massimo Sferza*
  • , Jelena Ninic
  • , Florian Glock
  • , Christoph Hofer
  • , Fernass Daoud
  • , Dimitrios Chronopoulos
  • , Kristoffer G. van der Zee
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

47 Downloads (Pure)

Abstract

Multidisciplinary design optimisation (MDO) is a methodology increasingly being used in the preliminary design of aircraft. To limit the computational cost of the procedure, it is generally based on coarse models, which do not accurately capture the internal deformation of details with a complex geometry. Therefore, it is not possible to apply constraints in these areas and designers are limited to a conservative pre-sizing of these parts, which are then kept fixed during the optimisation. In this paper we expose the limitations of this approach and present a novel methodology for the preliminary sizing of aircraft, based on global–local MDO. The commonly used coarse model is used together with finer local models, for the parts where additional accuracy is needed. The global–local analysis solves the internal deformation field with sufficient accuracy for the evaluation of local constraints. Furthermore, thanks to the formulation we introduce to compute the coupled sensitivities, the optimiser successfully finds a locally feasible design.
Original languageEnglish
Pages (from-to)4167-4184
Number of pages18
JournalEngineering with Computers
Volume39
Issue number6
DOIs
Publication statusPublished - 8 Dec 2023

Bibliographical note

Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 764650.

Keywords

  • Multidisciplinary optimisation
  • Global–local
  • Preliminary design
  • Coupled sensitivity analysis

Fingerprint

Dive into the research topics of 'Global–local multidisciplinary optimisation for the evaluation of local constraints on finer meshes in preliminary aircraft design'. Together they form a unique fingerprint.

Cite this