베이지안 정보 척도를 이용한 대차틀 강성의 신뢰성 기반 최적설계Reliability-based Design Optimization for Strength of Bogie Frame using Bayesian Information Criterion
- Other Titles
- Reliability-based Design Optimization for Strength of Bogie Frame using Bayesian Information Criterion
- Authors
- 임우철; 이태희
- Issue Date
- May-2011
- Publisher
- 한국자동차공학회
- Keywords
- Bayesian Information Criterion(베이지안 정보 척도); Model selection; Maximum likelihood function(최우량함수); Probability density function(확률 밀도 함수); Reliability analysis(신뢰성 해석); Reliability-based designoptimization(신뢰성 기반 최적설계); Bogie frame(대차틀)
- Citation
- 2011 한국자동차공학회 부문종합 학술대회, no. , pp.1777 - 1780
- Indexed
- OTHER
- Journal Title
- 2011 한국자동차공학회 부문종합 학술대회
- Start Page
- 1777
- End Page
- 1780
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/168380
- Abstract
- Solutions to the deterministic design optimization cannot consider the uncertainties that may occur from the tolerance of design variables, noise and environmental factors, material properties, and uncontrollable operations. Therefore these solutions may cause the possibility of failure. However, reliability-based design optimization (RBDO) can provide the reliability of a system by mean of probabilistic design criteria, i.e., possibility of failure. To assure these criteria, many methods for the reliability analysis have been developed. However, these methods assume that data take one of continuous forms of distribution functions. In real problems, because real data may often provide discrete form, it is important to estimate the distributions from discrete data in the reliability analysis. In this paper, we introduce BIC method that can determine the best estimated distribution for discrete data. These distributions are used for reliability analysis in RBDO. Mathematical example is illustrated to verify the proposed method. In engineering example, bogie frame is illustrated to apply the proposed method.
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