Design method of grinding profile of over worn rail

被引：0

作者：

Lin F.-T. ^{[1
]}

Deng Z.-X. ^{[1
,2
]}

Pang H.-F. ^{[1
,3
]}

Wang S.-T. ^{[1
]}

Yang J. ^{[4
]}

Ding J.-J. ^{[5
]}

Chen D.-Y. ^{[1
]}

机构：

[1] Key Laboratory of Ministry of Education for Conveyance and Equipment, East China Jiaotong University, Nanchang

[2] Guangzhou Railway Polytechnic, Guangzhou

[3] Guangdong Intercity Railway Operation Co., Ltd., Guangzhou

[4] Anhui Huirui Rail Intelligent Equipment Co., Ltd., Hefei

[5] School of Mechanical Engineering, Southwest Jiaotong University, Chengdu

来源：

Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering | 2022年 / 22卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Arc parameter; Rail profile design; Railway vehicle dynamics; Representative profile; Simulated annealing; Wheel-rail contact geometry;

D O I：

10.19818/j.cnki.1671-1637.2022.02.008

中图分类号：

学科分类号：

摘要：

A rail profile design method with the arc tangency point as the key parameter was proposed for the grinding of over worn rail. Specifically, taking the wheel-rail contact region as the optimization area and the rail wear and the removed amount of grinding material as the optimization objective function, taking the profile boundary, concavity and convexity, derailment coefficient and wheel-rail lateral force as the constraint conditions, the multi-objective function of designed grinding profile of worn rail was established. The multiple simulated annealing optimization algorithm was integrated for solutions. To obtain the rail profile representing the curve of a heavy haul line, which was adopted as the optimized input data, the representative profiles of four kinds of rails were obtained by using the least square distance algorithm, arithmetic average algorithm, weighted average algorithm and scatter reconstruction algorithm. The correlations between the rail representative profiles of the four algorithms and the measured profile contact point probability distribution curve were calculated by using the Pearson correlation coefficient, Kendall rank correlation coefficient and Spearman rank correlation coefficient, and the representative profile with the highest correlation was taken as the actual profile of the curve section of the equivalent heavy haul line. The economical grinding profile of over worn rail in a heavy haul line and the optimized profile using the arc profile design method were analyzed. Analysis results show that compared with the on-site grinding profile of rail, the optimized rail profile has a reduced grinding and cutting amount for its sectional profile by 69.56 mm2, a decrease of 64.98%, a slightly increased derailment coefficient, the same lateral wheel-rail force, small lateral wheelset displacement change, and similar curve passing performance. Although the wear area under 800 000 passes increases by 2.19 mm2, and the wear rate of rail slightly rises, the overall service life of rail is still prolonged. © 2022, Editorial Department of Journal of Traffic and Transportation Engineering. All right reserved.

引用

页码：111 / 122

页数：11

共 30 条

[21] HA V, HADDAWY P., Similarity of personal preferences: theoretical foundations and empirical analysis, Artificial Intelligence, 146, 2, pp. 149-173, (2003)
[22] SPEARMAN C., The proof and measurement of association between two things, International Journal of Epidemiology, 39, 5, pp. 1137-1150, (2010)
[23] ARCHARD J F., Contact and rubbing of flat surfaces, Journal of Applied Physics, 24, 8, pp. 981-988, (1953)
[24] ZHAI Wan-ming, CHEN Guo, Method and criteria for evaluation of wheel derailment based on wheel vertical rise, Journal of the China Railway Society, 23, 2, pp. 17-26, (2001)
[25] BANDYOPADHYAY S, SAHA S, MAULIK U, Et al., A simulated annealing-based multi-objective optimization algorithm: AMOSA, IEEE Transactions on Evolutionary Computation, 12, 3, pp. 269-283, (2008)
[26] DING Jun-jun, SUN Shu-lei, LI Fu, Et al., Simulation of wheel wear for heavy haul freight car, Journal of Traffic and Transportation Engineering, 11, 4, pp. 56-60, (2011)
[27] YANG Chun-lei, HUANG Yun-hua, DING Jun-jun, Influences of curve geometric parameters of heavy haul track on wheel/rail coupling dynamic characteristics, Journal of Traffic and Transportation Engineering, 21, 3, pp. 215-227, (2021)
[28] ZHANG Jun, JIA Xiao-ping, SUN Chuan-xi, Et al., Contact relationship of wear wheel and curved rail l, Journal of Traffic and Transportation Engineering, 11, 3, pp. 29-33, (2011)
[29] DONG Xiao-qing, REN Zun-song, XU Zi-qiang, Et al., Research on nonlinear characteristics and effect of equivalent conicity curve, Journal of the China Railway Society, 40, 11, pp. 91-97, (2018)
[30] KOU Jie, ZHANG Ji-min, ZHOU He-chao, Et al., Wheel-rail wear characteristics of intercity EMUs on curve in worn stages, Journal of Traffic and Transportation Engineering, 21, 3, pp. 279-288, (2021)

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