• Journal of the Korean Society for Railway
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• v.12 no.1
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• pp.16-24
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• 2009

In this study, fatigue crack growth rate of a cracked railway bogie frame under variable amplitude loading is predicted by applying linear elastic fracture mechanics. For this purpose, we find the critical points by reference surveying on cracked railway bogie frames. And we make an effective load history by synthesizing the dynamic load measured from the critical points of railway bogie frame during commercial line operation and the static load calculated from structural analysis. Crack growth analyses are performed at the 3 critical points under the commercial operation loading condition by assuming an initial crack size as 40 mm. and the results are compared with the experimental results from Japanese railway bogie frame crack growth case. From the analysis results, we find that around 500,000 km operating distance is necessary to bring crack growth from the initial crack to unstable crack. And it takes around 3.8 normal operating years. We conclude that it is enough time to detect the crack between normal maintenance period.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.95-95
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• 2004

철도차량용 주행장치인 대차는 차체의 하중을 지지하고, 승객 및 차량의 안전, 주행성능 및 승차감에 지대한 영향을 미치는 핵심 구조부품이다. 주행장치는 크게 대차틀, 차륜 및 차축, 1차 2차 현가장치, 제동장치, 전동기 및 동력전달장치 등으로 구성되며, 대차틀은 형상이 복잡하고 하중을 직접 지지할 뿐만 아니라 하중조건도 정적 및 동적하중이 복합적으로 작용하고 있다. 대차틀은 차체 자중 및 승객 하중에 의한 정하중과 곡선주행, 제동시 발생하는 하중 및 불규칙한 선로와 차체, 주행장치, 윤축의 운동모드에 의한 동하중을 받고 있다.(중략)

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.8
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• pp.921-927
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• 2012

Reliability-based design optimization (RBDO) can be used to determine the reliability of a system by means of probabilistic design criteria, i.e., the possibility of failure considering stochastic features of design variables and input parameters. To assure these criteria, various reliability analysis methods have been developed. Most of these methods assume that distribution functions are continuous. However, in real problems, because real data is often discrete in form, it is important to estimate the distributions for discrete information during reliability analysis. In this study, we employ the Akaike information criterion (AIC) method for reliability analysis to determine the best estimated distribution for discrete information and we suggest an RBDO method using AIC. Mathematical and engineering examples are illustrated to verify the proposed method.