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Optimum design of tilting bogie frame in consideration of fatigue strength and weight

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This paper addresses the use of finite-element (FE) analysis to calculate the fatigue strength of a bogie frame, for the development of tilting trains in Korea. A multi-body dynamic analysis was performed to extract the load condition by tilting on curves. Using the results of the multi-body dynamic analysis and the load scenario setout in the UIC standard, FE analysis was performed to obtain the stress distribution and to calculate the fatigue strength. An attempt was made to minimize the weight of the bogie frame using a back-propagation artificial neural network (ANN). The results of this study reveal that the stresses at some nodes are near the fatigue limit in the Goodman diagram and by using back-propagation ANN, the weight of the bogie frame could be reduced by 4.7%.

Keywords: Bogie; Fatigue analysis; Neural network; Optimization; Strength; Tilting train

Document Type: Research Article


Affiliations: 1: School of Mechanical Engineering, Yonsei University, SinchonDong, SeodaemoonGu, Seoul, 120-749, South Korea 2: Conventional Rail Engineering Corps, Korea Railroad Research Institute, Woulam-Dong, Uiwang-Shi, KyungGi, 437-050, Korea

Publication date: 2006-12-01

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