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논문검색

학술연구

다분야통합최적설계에서 협동최적화기법의 고찰과 해결방안에 관한 연구

원문정보

A Study on the Consideration and Settlement of Collaborative Optimization Approach in the Multidisciplinary Design Optimization

박창규

피인용수 : 0(자료제공 : 네이버학술정보)

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

저자정보

  • 박창규 Chang-Kyu Park. Member, School of Mechanical & Automotive Engineering, Gwangju University

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자료제공 : 네이버학술정보

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