Rail rough profile construction based on discrete element method and fractal characteristics

被引：0
|
作者：
Chen X. [1 ,2 ]
Chen N. [1 ]
Wei Z. [3 ]
Yang F. [3 ]
Olabanji A.S. [1 ]
You M. [3 ]
机构：
[1] School of Civil Engineering, Central South University, Changsha
[2] Key Laboratory of Heavy-duty Railway Engineering Structure of Ministry of Education, Changsha
[3] Infrastructure Inspection Research Institute, China Academy of Railway Sciences, Beijing
来源：
Journal of Railway Science and Engineering | 2023年 / 20卷 / 06期
关键词：
discrete element method; fractal; rail; rail profile; roughness;
D O I：
10.19713/j.cnki.43-1423/u.T20221167
中图分类号：
学科分类号：
摘要：
Due to various factors such as the manufacturing process, wheel-rail interaction, corrosion and other factors, the rails commonly used in railways have a rough rather than smooth surface. To characterize the roughness of the rail more accurately, a method for constructing the rough outer surface of the rail was proposed based on the discrete element method (DEM). First, the reliability of the selected micromechanical parameters of the DEM model was verified through steel tensile strength test simulation, and the geometric outline of the rail was drawn according to the specification. On this basis, the geometric figures of the rail were filled with spherical particles of different particle sizes to achieve the DEM simulation of the rough profile of the rail. Second, image processing was performed on the DEM model of the rail with rough profile to identify the rough contour of the rail. Then, data extraction and coordinate calibration were carried out on the rail profile to obtain the coordinate data of the rail rough profile for subsequent analysis and processing. Finally, the profile of the height of the bump on the top surface of the rail in the wheel-rail contact area was constructed, the evaluation length (40 mm) and the sampling length (8 mm) were selected, and the roughness and fractal dimension of the outer and outer surfaces within the range were analyzed. The results show that the rail model with rough profile established by the discrete element method has fractal characteristics. The rail roughness and fractal dimension calculated from the evaluation length and sampling length differ by 1.46% and 0.15%, respectively. The rough profile of the rail can be simulated by the discrete element method, and the method is feasible. It is a new idea and method to simulate the rough profile of the rail based on the discrete element method, which provides a new idea for further research and has certain reference value and engineering significance. © 2023, Central South University Press. All rights reserved.
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页码：2037 / 2045
页数：8
相关论文
共 26 条
  • [1] LIAN Songliang, Railway track, (2009)
  • [2] CHEN Xiufang, LOU Ping, Track engineering, (2017)
  • [3] ZHU Yi, WANG Wenjian, LEWIS R, Et al., A review on wear between railway wheels and rails under environmental conditions, Journal of Tribology, 141, 12, (2019)
  • [4] ZHOU Kun, DING Haohao, WANG Ruixiang, Et al., Experimental investigation on material removal mechanism during rail grinding at different forward speeds, Tribology International, 143, (2020)
  • [5] ZHONG Wen, DONG Lin, WANG Yu, Et al., A comparative investigation between rolling contact fatigue and wear of high-speed and heavy-haul railway, Tribology, 32, 1, pp. 96-101, (2012)
  • [6] DING Haohao, GUO Shuai, ZHOU Shaobo, Et al., Influences of grinding mark roughness and cross marks on rolling contact fatigue damage of rail, Tribology, 41, 6, pp. 813-820, (2021)
  • [7] XU Xiaodi, NIU Liubin, SUN Shanchao, Et al., Evaluation method and application of rail corrugation based on axle box vibration acceleration, China Railway Science, 42, 6, pp. 18-26, (2021)
  • [8] XIAO Binghuan, LIU Jinzhao, XIE Wanru, Et al., WPDASSTFT time-frequency marginal spectrum method for diagnosing track corrugation of heavy haul railway, Journal of the China Railway Society, 44, 5, pp. 101-109, (2022)
  • [9] LUO Hui, XU Guanglong, Rail surface defect detection based on image enhancement and deep learning, Journal of Railway Science and Engineering, 18, 3, pp. 623-629, (2021)
  • [10] XU Jingmang, WANG Ping, GAO Yuan, Et al., Geometry evolution of rail weld irregularity and the effect on wheelrail dynamic interaction in heavy haul railways, Engineering Failure Analysis, 81, pp. 31-44, (2017)
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