Multi-Objective Optimization of Rail Pre-Grinding Profile in Straight Line for High Speed Railway

doi:10.1007/s12204-018-1974-1

Journal of Shanghai Jiao Tong University (Science) ›› 2018, Vol. 23 ›› Issue (4): 527-.doi: 10.1007/s12204-018-1974-1

Multi-Objective Optimization of Rail Pre-Grinding Profile in Straight Line for High Speed Railway

ZENG Wei (曾威), QIU Wensheng (丘文生), REN Tao (任涛), SUN Wen (孙文), YANG Yue (杨岳)

(1. College of Mechanical Engineering, Xi’an Shiyou University, Xi’an 710065, China; 2. School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China; 3. Guangzhou Large Scale Track Maintenance Machine Running and Maintenance Division, China Railway Guangzhou Group Co., Ltd., Guangzhou 511400, China)

发布日期:2018-08-02
通讯作者: ZENG Wei (曾威) E-mail:zengwei-csu@csu.edu.cn

Multi-Objective Optimization of Rail Pre-Grinding Profile in Straight Line for High Speed Railway

ZENG Wei (曾威), QIU Wensheng (丘文生), REN Tao (任涛), SUN Wen (孙文), YANG Yue (杨岳)

(1. College of Mechanical Engineering, Xi’an Shiyou University, Xi’an 710065, China; 2. School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China; 3. Guangzhou Large Scale Track Maintenance Machine Running and Maintenance Division, China Railway Guangzhou Group Co., Ltd., Guangzhou 511400, China)

Published:2018-08-02
Contact: ZENG Wei (曾威) E-mail:zengwei-csu@csu.edu.cn

摘要/Abstract

摘要： In order to modify the rail pre-grinding profile smoothly, non-uniform rational B-spline (NURBS) curve with weight factors is used to establish a parameterized model of the profile. A wheel-rail contact stochastic finite element model (FEM) is constructed by the Latin hypercube sampling method and 3D elasto-plastic FEM, in which the wheelset’s lateral displacement quantity is regarded as a random variable. The maximum values of nodal accumulated contact stress (NACS) and nodal mean contact stress (NMCS) in different pre-grinding profiles with differential weight factors are calculated and taken as the training samples to establish two Kriging models. A multi-objective optimization model of pre-grinding profile is established, in which the objective functions are the NACS and NMCS Kriging models. The optimum weight factors are sought using a non-dominated sorting genetic algorithm II (NSGA-II), and the corresponding optimum pre-grinding profile is obtained. The contact stress calculation before and after optimization indicates that the maximum values of NACS and NMCS decline significantly.

关键词: rail grinding, profile optimization, Kriging model, lateral displacement quantity, non-dominated sorting genetic algorithm II (NSGA-II)

Abstract: In order to modify the rail pre-grinding profile smoothly, non-uniform rational B-spline (NURBS) curve with weight factors is used to establish a parameterized model of the profile. A wheel-rail contact stochastic finite element model (FEM) is constructed by the Latin hypercube sampling method and 3D elasto-plastic FEM, in which the wheelset’s lateral displacement quantity is regarded as a random variable. The maximum values of nodal accumulated contact stress (NACS) and nodal mean contact stress (NMCS) in different pre-grinding profiles with differential weight factors are calculated and taken as the training samples to establish two Kriging models. A multi-objective optimization model of pre-grinding profile is established, in which the objective functions are the NACS and NMCS Kriging models. The optimum weight factors are sought using a non-dominated sorting genetic algorithm II (NSGA-II), and the corresponding optimum pre-grinding profile is obtained. The contact stress calculation before and after optimization indicates that the maximum values of NACS and NMCS decline significantly.

Key words: rail grinding, profile optimization, Kriging model, lateral displacement quantity, non-dominated sorting genetic algorithm II (NSGA-II)

中图分类号:

U 213.2

ZENG Wei (曾威), QIU Wensheng (丘文生), REN Tao (任涛), SUN Wen (孙文), YANG Yue (杨岳). Multi-Objective Optimization of Rail Pre-Grinding Profile in Straight Line for High Speed Railway[J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(4): 527-.

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Multi-Objective Optimization of Rail Pre-Grinding Profile in Straight Line for High Speed Railway

Multi-Objective Optimization of Rail Pre-Grinding Profile in Straight Line for High Speed Railway

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