Earticle

초록

영어

Multidisciplinary Design Optimization(MDO) method that considers principles in various fields affecting big scale structure and system design at the same time is used. Because most variables are connected many engineering phenomena under the classic optimized design method(all-in-one design approach), it is hard to judge the meaning of final design solution obtained, and there are cases where all variables converge before reaching the optimal design value in large-scale design problems with many variables. Collaborative Optimization (CO) method, the most advanced MDO approach, is used to efficiently solve these optimum problems, to efficiently analyze design problems involving numerous design variables and constraints and in which various engineering phenomena occur. However, the application of the MDO problem to CO introduces a number of numerical problems by destroying the numerical properties of the original optimal design problem. Therefore, this study researches one solution by listing the problems of CO after organizing various approaches of MDO.

목차

Abstract
1. 서론
2. MDO 기법들의 비교
2.1 Multidisciplinary Feasible(MDF) Method
2.2 Individual Discipline Feasible(IDF) Method
2.3 CO(Collaborative Optimization)
3. Penalty Function Method를 통한 CO의 수렴성 개선
4. 수치예제
4.1 CO의 문제점
4.2 Penalty Function Method를 통한 CO의 수렴성 개선
5. 결론
후기
References

키워드

저자

• 박창규 [ Chang-Kyu Park | Member, School of Mechanical & Automotive Engineering, Gwangju University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국기계항공기술학회지(구 한국기계기술학회지) [Journal of the Korean Society of Mechanical and Aviation Technology ]

• 간기

  격월간

• pISSN

  1229-604X

• eISSN

  2508-3805

• 수록기간

  1999~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 550 DDC 620