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
- 2013.11
- 수록면
- 980 - 985 (6page)
이용수
초록· 키워드
오류제보하기
To achieve mass reduction and performance improvement, design optimization has been studied in automotive engineering. Recently, stochastic design optimization methods are used to calculate not only the performance but also a probability of the performance. Reliability-based design optimization (RBDO) is one of the stochastic design optimization methods. In RBDO, by considering stochastic information of input variables, the reliability of the performance can be estimated. In this paper, we adopt the RBDO to design an engine cradle with limited discrete information from tolerance of a panel of an engine cradle. With the stochastic information of the input variables, the reliabilities of the performance such as stiffness, life and permanent displacement are estimated by the reliability analysis using Akaike information criterion (AIC). AIC can find the best estimated distribution of the performance from limited discrete information and then estimate the reliability from the distribution. Finally, we can reduce the mass and satisfy the target reliabilities of the performances of the engine cradle.
목차
Abstract
1. 서론
2. 근사모델
3. 신뢰성 기반 최적설계
4. 엔진 크래들의 신뢰성 기반 최적설계
5. 결론
References
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UCI(KEPA) : I410-ECN-0101-2014-550-003463029