지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.4
- 수록면
- 975 - 978 (4page)
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초록· 키워드
오류제보하기
Since deterministic optimization method without considering uncertainty lead to unreliable designs, it is required to consider design methods that take into account of the input uncertainty. In this study, uncertainties which are from the analysis methods that do not perfectly correspond to physical phenomenon are taken into account in optimization process. Possibility Base Design Optimization Design Optimization is one of the methods for accounting for uncertainties by modeling each source of uncertainty as a fuzzy number. Possibility Base Design Optimization with performance measure approach that improves numerical efficiency and stability is used in this design optimization. This paper describes a process that implements a design optimization using possibility theory to perform small aircraft conceptual design optimization in order to produce results that are more conservative but more trustworthy than conventional optimization approach.
목차
ABSTRACT
1. Introduction
2. Uncertainty Modeling and Possibility Base Design Optimization Approach
3. Possibility Based Small Aircraft Design Optimization
4. Results and Discussion
5. Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2014-550-002697763