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

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...

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Bibliographic Details
Published in:Vehicle system dynamics 2006-12, Vol.44 (12), p.887-901
Main Authors: Hwa Park, Byung, Po Kim, Nam, Seok Kim, Jung, Yong Lee, Kang
Format: Article
Language:English
Subjects:
Applied sciences
Bogie
Exact sciences and technology
Fatigue analysis
Fracture mechanics (crack, fatigue, damage...)
Fundamental areas of phenomenology (including applications)
Machine components
Mechanical engineering. Machine design
Neural network
Optimization
Physics
Solid mechanics
Springs and dampers
Strength
Structural and continuum mechanics
Tilting train
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Summary: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%.
ISSN:0042-3114
1744-5159
DOI:10.1080/00423110600737106