Browse

Kriging 기반 모델과 매개변수(Adjoint Variable)법을 이용한 항공기형상의 2단계 공력최적설계
Multi-stage Aerodynamic Design of Aircraft Geometries by Kriging-Based models and Adjoint Variable Approach

Cited 0 time in Web of Science Cited 0 time in Scopus
Authors
임진우; 이병준; 김종암
Issue Date
2009-04
Publisher
한국전산유체공학회 = Korean Society of Computational Fluids Engineering
Citation
한국전산유체공학회 2009년도 춘계학술대회논문집, pp. 57-65. 2009년 4월
Keywords
공력 형상 최적설계(Aerodynamic Shape Optimization)전역최적화(Global Optimization)국소최적화(Local Optimization)유전자 알고리즘(GA : Genetic Algorithm)크리깅 기법(Kriging Method)EI(Expected Improvement)매개변수법(Adjoint Variables Method)Drag Decomposition Method
Abstract
An efficient and high-fidelity design approach for wing-body shape optimization is presented. Depending on the size of design space and the number of design of variable, aerodynamic shape optimization process is carried out via different optimization strategies at each design stage. In the first stage, global optimization techniques are applied to planform design with a few geometric design variables. In the second stage, local optimization techniques are used for wing surface design with a lot of design variables to maintain a sufficient design space with a high DOF (Degree of Freedom) geometric change. For global optimization, Kriging method in conjunction with Genetic Algorithm (GA) is used. Asearching algorithm of EI (Expected Improvement) points is introduced to enhance the quality of global optimization for the wing-planform design. For local optimization, a discrete adjoint method is adopted. By the successive combination of global and local optimization techniques, drag minimization is performed for a multi-body aircraft configuration while maintaining the baseline lift and the wing weight at the same time. Through the design process, performances of the test models are remarkably improved in comparison with the single stage design approach. The performance of the proposed design framework including wing planform design variables can be efficiently evaluated by the drag decomposition method, which can examine the improvement of various drag components, such as induced drag, wave drag, viscous drag and profile drag.
Language
Korean
URI
http://hdl.handle.net/10371/8902
Files in This Item:
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Others_기계항공공학부
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse