Reliability-Based Design Optimization Using Kriging Metamodel with Sequential Sampling Technique

순차적 샘플링과 크리깅 메타모델을 이용한 신뢰도 기반 최적설계

  • 최규선 ((주) LG 전자 에어컨 사업본부) ;
  • 이갑성 (한양대학교 대학원 기계공학과) ;
  • 최동훈 (한양대학교 기계공학부)
  • Published : 2009.12.01


RBDO approach based on a sampling method with the Kriging metamodel and Constraint Boundary Sampling (CBS), which is sequential sampling method to generate metamodels is proposed. The major advantage of the proposed RBDO approach is that it does not require Most Probable failure Point (MPP) which is essential for First-Order Reliability Method (FORM)-based RBDO approach. The Monte Carlo Sampling (MCS), most well-known method of the sampling methods for the reliability analysis is used to assess the reliability of constraints. In addition, a Cumulative Distribution Function (CDF) of the constraints is approximated using Moving Least Square (MLS) method from empirical distribution function. It is possible to acquire a probability of failure and its analytic sensitivities by using an approximate function of the CDF for the constraints. Moreover, a concept of inactive design is adapted to improve a numerical efficiency of the proposed approach. Computational accuracy and efficiency of the proposed RBDO approach are demonstrated by numerical and engineering problems.


RBDO;Kriging Metamodel;Constraint Boundary Sampling;Inactive Design


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