베지안 정보 척도를 이용한 대차틀 강성의 신뢰성 기반 최적설계
- Title
- 베지안 정보 척도를 이용한 대차틀 강성의 신뢰성 기반 최적설계
- Other Titles
- Reliability-based Design Optimization for Strength of Bogie Frame using Bayesian Information Criterion
- Author
- 이태희
- Keywords
- bayesianinformationcriterion베이지안정보척도; Model selection, maximumlikelihoodfunction최우량함수, probabilitydensityfunction확률밀도함수; reliabilityanalysis신뢰성해석; reliabilitybaseddesignoptimization신뢰성기반최적설계; bogieframe대차틀; Bayesian Information Criterion; 베이지안정보척도; Maximum likelihood function; 최우량함수; Probability density function; 확률밀도함수; Reliability analysis; 신뢰성해석; Reliability-based designoptimization; 신뢰성기반최적설계; Bogie frame; 대차틀; bogieframe대차률
- Issue Date
- 2011-05
- Publisher
- 한국자동차공학회
- Citation
- 한국자동차공학회 춘계학술대회. 2011(5) ,1777-1780
- 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. 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.
- URI
- http://www.dbpia.co.kr/Journal/ArticleDetail/NODE01755614http://hdl.handle.net/20.500.11754/40801
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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