http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 배효길(H.G. Bae) (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
Noisy 한 CFD 결과에 대한 구속조건을 고려한 EGO 최적설계
배효길(H.G. Bae),권장혁(J.H. Kwon) 한국전산유체공학회 2012 한국전산유체공학회 학술대회논문집 Vol.2012 No.5
Efficient Global Optimization (EGO) method is a global optimization technique which can select the next sample point systematically by infill sampling criteria (ISC) and search for the global minimum with less samples than the conventional global optimization. ISC function consists of the predictor and mean square error (MSE) provided from the kriging model which is a stochastic metamodel. Also the constrained EGO method can minimize the objective function dealing with the constraints under EGO concept. In this study the constrained EGO method-applied to the RAE2822 airfoil shape design formulated with the constraint. Even though the optimum shape was obtained efficiently by EGO method, the noisy CFD data caused the kriging model to fail to depict the true function. This study showed that the noisy CFD data could be managed to keep from distorting the true function by changing the correlation function or using the re-interpolation kriging model while retaining the property of global convergence.
-
근사모델을 이용한 RAE2822 운용 불확실성 강건최적설계
배효길(H.G. Bae),권장혁(J.H. Kwon) 한국전산유체공학회 2010 한국전산유체공학회 학술대회논문집 Vol.2010 No.5
In the view of robust design optimization, RAE2822 airfoil was designed to achieve not only the maximum lift-to-drag ratio but also insensitivity of that. While the RAE2822 is flying at the cruise speed, Mach variation is considered as the operational uncertainty. In order to explore the design space, metamodels were introduced instead of consecutively computing the gradient. Also a metamodel was used to represent the sigma space. Using the metamodel, an optimum value was searched in the view of global optimization.
-
Noisy 한 CFD 결과에 대한 구속조건을 고려한 EGO 방법 연구
배효길(H.G. Bae),권장혁(J.H. Kwon) 한국전산유체공학회 2012 한국전산유체공학회지 Vol.17 No.4
Efficient Global Optimization (EGO) method is a global optimization technique which can select the next sample point automatically by infill sampling criteria (ISC) and search for the global minimum with less samples than what the conventional global optimization method needs. ISC function consists of the predictor and mean square error (MSE) provided from the kriging model which is a stochastic metamodel. Also the constrained EGO method can minimize the objective function dealing with the constraints under EGO concept. In this study the constrained EGO method applied to the RAE2822 airfoil shape design formulated with the constraint. But the noisy CFD data caused the kriging model to fail to depict the true function. The distorted kriging model would make the EGO deviate from the correct search. This distortion of kriging model can be handled with the interpolation(p=free) kriging model. With the interpolation(p=free) kriging model, however, the search of EGO solution was stalled in the narrow feasible region without the chance to update the objective and constraint functions. Then the accuracy of EGO solution was not good enough. So the three-step search method was proposed to obtain the accurate global minimum as well as prevent from the distortion of kriging model for the noisy constrained CFD problem.
ScienceON연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
