곱분해 기법 기반의 통계 모멘트를 이용한 효율적인 강건 최적설계
- Title
- 곱분해 기법 기반의 통계 모멘트를 이용한 효율적인 강건 최적설계
- Other Titles
- Efficient Robust Design Optimization Using Statistical Moments Based on Multiplicative Decomposition Method
- Author
- 이태희
- Keywords
- Robust Design Optimization; Multiplicative Decomposition Method; Kriging Metamodel
- Issue Date
- 2012-10
- Publisher
- 대한기계학회
- Citation
- Transactions of the Korean Society of Mechanical Engineers. A. A, 2012, 36(10), p.1109-1114
- Abstract
- The performance of a system can be affected by various variables such as manufacturing tolerances, uncertainties of material properties, and environmental factors acting on the system. Robust design optimization has attracted much attention in the design of products because it can find the best design solution that minimizes the variance of the response while considering the distribution of the variables. However, the computational cost and accuracy of optimization have thus far been a challenging problem. In this study, robust design optimization using the multiplicative decomposition method is proposed in order to solve these problems. Because the proposed method calculates the mean and variance of the system directly from the kriging metamodel using the multiplicative decomposition method, it can be used to search for a robust optimum design accurately and efficiently. Several mathematical and engineering examples are used to demonstrate the feasibility of the proposed method.
- URI
- http://www.dbpia.co.kr/Journal/ArticleDetail/NODE01970292http://hdl.handle.net/20.500.11754/67759
- ISSN
- 1225-5963
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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