Numerical Characterization and Formation Process Study of Rail Bright Bands in High-Speed Turnout Areas

19 Pages Posted: 14 Sep 2024

See all articles by Jingmang Xu

Jingmang Xu

Southwest Jiaotong University

Yao Qian

Southwest Jiaotong University

Caiwei Liu

affiliation not provided to SSRN

Yuwen Yuan

affiliation not provided to SSRN

Ping Wang

affiliation not provided to SSRN

Kai Wang

affiliation not provided to SSRN

Abstract

To define the numerical characterization of rail bright bands and analyze their formation process in high-speed turnout areas, this study combines experimental and simulation methods. It utilizes fractal dimensions to distinguish between rail bright band zones and non-bright band zones and employs wear tests to categorize the stages of bright band formation. A simulation analysis method for rail bright bands in high-speed railway turnouts is proposed. Using the No. 18 turnout switch area as an example, the formation process and evolution patterns of rail bright bands in high-speed turnout areas are studied through simulations. The results indicate that:1) The standard fractal dimension values for rails with and without bright bands in high-speed railways are 2.09 and 2.24, respectively.2) When material loss exceeds 0.09 mm, a bright band forms on the rail surface, at which point the fractal dimension of the rail surface is 2.09.3) The formation of bright bands can be divided into four stages: rapid wear, bright band formation, bright band evolution, and bright band stabilization.

Keywords: Rail bright bands, Surface Roughness Analysis, High-Speed Turnout, Material Loss, Wheel Rail Dynamic Performance, Wear Analysis

Suggested Citation

Xu, Jingmang and Qian, Yao and Liu, Caiwei and Yuan, Yuwen and Wang, Ping and Wang, Kai, Numerical Characterization and Formation Process Study of Rail Bright Bands in High-Speed Turnout Areas. Available at SSRN: https://ssrn.com/abstract=4956737 or http://dx.doi.org/10.2139/ssrn.4956737

Jingmang Xu (Contact Author)

Southwest Jiaotong University ( email )

No. 111, Sec. North 1, Er-Huan Rd.
Chengdu
Chengdu, 610031
China

Yao Qian

Southwest Jiaotong University ( email )

No. 111, Sec. North 1, Er-Huan Rd.
Chengdu
Chengdu, 610031
China

Caiwei Liu

affiliation not provided to SSRN ( email )

No Address Available

Yuwen Yuan

affiliation not provided to SSRN ( email )

No Address Available

Ping Wang

affiliation not provided to SSRN ( email )

No Address Available

Kai Wang

affiliation not provided to SSRN ( email )

No Address Available

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