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Study on Rail Profile Optimization Based on the Nonlinear Relationship between Profile and Wear Rate
Joint Authors
Wang, Jianxi
Ren, Zhiqiang
Chen, Jinjie
Chen, Long
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper proposes a rail profile optimization method that takes account of wear rate within design cycle so as to minimize rail wear at the curve in heavy haul railway and extend the service life of rail.
Taking rail wear rate as the object function, the vertical coordinate of rail profile at range optimization as independent variable, and the geometric characteristics and grinding depth of rail profile as constraint conditions, the support vector machine regression theory was used to fit the nonlinear relationship between rail profile and its wear rate.
Then, the profile optimization model was built.
Based on the optimization principle of genetic algorithm, the profile optimization model was solved to achieve the optimal rail profile.
A multibody dynamics model was used to check the dynamic performance of carriage running on optimal rail profile.
The result showed that the average relative error of support vector machine regression model remained less than 10% after a number of training processes.
The dynamic performance of carriage running on optimized rail profile met the requirements on safety index and stability.
The wear rate of optimized profile was lower than that of standard profile by 5.8%; the allowable carrying gross weight increased by 12.7%.
American Psychological Association (APA)
Wang, Jianxi& Ren, Zhiqiang& Chen, Jinjie& Chen, Long. 2017. Study on Rail Profile Optimization Based on the Nonlinear Relationship between Profile and Wear Rate. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1191604
Modern Language Association (MLA)
Wang, Jianxi…[et al.]. Study on Rail Profile Optimization Based on the Nonlinear Relationship between Profile and Wear Rate. Mathematical Problems in Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1191604
American Medical Association (AMA)
Wang, Jianxi& Ren, Zhiqiang& Chen, Jinjie& Chen, Long. Study on Rail Profile Optimization Based on the Nonlinear Relationship between Profile and Wear Rate. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1191604
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191604