Session Track
November 02 (Thursday)
통계기반 해석 및 설계
Oral,
제14발표장(402A호),
11:00~12:00
- 윤병동(서울대)
Th14C-4
11:00~12:00
불인지 불확실성을 위한 바이어스 이용 통계적 모델 보정
Since today’s engineering design is too complex and sophisticated, modelers have difficulty modelling a simulation models with good prediction. Complex engineered system has a large amount of uncertainties that even modelers can’t figure out. In this paper, model calibration method with bias is introduced to deal with the unrecognized uncertainties. To confirm the efficiency of this method, cantilever beam model is calibrated as a case study. As a result, the validity of cantilever beam model is proven.
Keywords : Statistical Model Calibration(통계적 모델 보정), Bias(바이어스), Unrecognized Uncertainty(불인지 불확실성), Natural Frequency(고유 진동수)
Paper : Th14C-4.pdf
(사)대한기계학회, 서울시 강남구 테헤란로 7길 22 한국과학기술회관 신관 702호, Tel: (02)501-3646~3648, E-mail: ksme@ksme.or.kr