곱분해기법을 이용한 신뢰성 기반 최적설계

Reliability-based Design Optimization using Multiplicative Decomposition Method
  • 김태균
  • 이태희

초록

Design optimization is a method to find optimum point which minimizes the objective function while satisfying design constraints. The conventional optimization does not consider the uncertainty originated from modeling or manufacturing process, so optimum point often locates on the boundaries of constraints. Reliability based design optimization includes optimization technique and reliability analysis that calculates the reliability of the system. Reliability analysis can be classified into simulation method, fast probability integration method, and moment-based reliability method. In most generally used MPP based reliability analysis, which is one of fast probability integration method, if many MPP points exist, cost and numerical error can increase in the process of transforming constraints into standard normal distribution space. In this paper, multiplicative decomposition method is used as a reliability analysis for RBDO, and sensitivity analysis is performed to apply gradient based optimization algorithm. To illustrate whole process of RBDO mathematical and engineering examples are illustrated.

키워드

RBDOreliability analysiskriging metamodelMD methodpearson system신뢰성 기반 최적설계신뢰성 해석크리깅모델곱분해기법피어슨 시스템
제목
곱분해기법을 이용한 신뢰성 기반 최적설계
제목 (타언어)
Reliability-based Design Optimization using Multiplicative Decomposition Method
저자
김태균이태희
발행일
2009-08
저널명
한국전산구조공학회논문집
22
4
페이지
299 ~ 306