High-fidelity multidisciplinary design optimization of wing shape for regional jet aircraft

Kazuhisa Chiba, Shigeru Obayashi, Kazuhiro Nakahashi, Hiroyuki Morino

Research output: Contribution to journalConference articlepeer-review

19 Citations (Scopus)

Abstract

A large-scale, real-world application of Evolutionary Multi-Criterion Optimization (EMO) is reported in this paper. The Multi-disciplinary Design Optimization among aerodynamics, structures and aeroelasticity for the wing of a transonic regional jet aircraft has been performed using high-fidelity models. An Euler/Navier-Stokes (N-S) Computational Fluid Dynamics (CFD) solver is employed for the aerodynamic evaluation. The NASTRAN, a commercial software, is coupled with a CFD solver for the structural and aeroelastic evaluations. Adaptive Range Multi-Objective Genetic Algorithm is employed as an optimizer. The objective functions are minimizations of block fuel and maximum takeoff weight in addition to difference in the drag between transonic and subsonic flight conditions. As a result, nine non-dominated solutions have been generated. They are used for tradeoff analysis among three objectives. One solution is found to have one percent improvement in the block fuel compared to the original geometry designed in the conventional manner. All the solutions evaluated during the evolution are analyzed by Self-Organizing Map to extract key features of the design space.

Original languageEnglish
Pages (from-to)621-635
Number of pages15
JournalLecture Notes in Computer Science
Volume3410
Publication statusPublished - 2005 Sep 14
Externally publishedYes
EventThird International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005 - Guanajuato, Mexico
Duration: 2005 Mar 92005 Mar 11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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