轨道车辆垂向振动建模及运动关联分析

doi:10.13229/j.cnki.jdxbgxb20190559

摘要/Abstract

摘要：

轨道车辆行驶过程中线路轨迹的变化将影响车体的随机振动响应，在车辆行驶垂向加速度、车体角速度以及姿态角等运动参数的基础上，建立了轨道车辆车体垂向振动力学模型。通过对变系数微分方程组的数值求解获取轨道车辆运行过程中车体垂向的振动响应，并通过与试验测试振动加速度信号比较检验了所建振动力学模型的合理性。分析了车体垂向随机振动随车辆运动参数的变化情况，结果表明:车体垂向随机振动与行驶垂向加速度存在一定程度的关联性，为轨道车辆安全运行和进一步基于运动和振动信号的故障诊断奠定了基础。

关键词: 车辆工程, 轨道车辆, 垂向振动, 运行参数, 运动关联

Abstract:

The change of the railway track during rail vehicles travel will affect the vertical random vibration response of the vehicle body. Based on the vertical acceleration of the vehicle, the angular velocity of the vehicle body and the attitude angle, the vertical vibration mechanics model of the rail vehicles is established. The vertical vibration response of the vehicle body during the operation of the rail vehicles is obtained by numerical solution of the differential coefficient differential equations. The rationality of the vertical vibration mechanics model is tested by comparing with the experimental test vibration acceleration signal. The variation of vertical random vibration of vehicle body with train motion parameters is analyzed. The results show that there is a certain degree of correlation between vertical random vibration of vehicle body and vertical acceleration. It lays the foundation for the safe operation of rail trains and further fault diagnosis based on motion and vibration signals.

Key words: vehicle engineering, rail vehicles, vertical vibration, motion parameters, motion correlations

中图分类号:

U270.7

刘钊,程江琳,朱玉田,郑立辉. 轨道车辆垂向振动建模及运动关联分析[J]. 吉林大学学报(工学版), 2020, 50(5): 1600-1607.

Zhao LIU,Jiang-lin CHENG,Yu-tian ZHU,Li-hui ZHENG. Vertical vibration modeling and motion correlation analysis of rail vehicles[J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1600-1607.

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参考文献 22

1	Soukup J, Skočilasb J, Skočilasová B, et al. Vertical vibration of two axle railway vehicle[J]. Procedia Engineering, 2017, 177: 25-32.
2	Nangolo N F, Soukup J, Rychlíková L, et al. A combined numerical and modal analysis on vertical vibration response of railway vehicle[J]. Procedia Engineering, 2014, 96: 310-319.
3	孟建军, 杨泽青, 蒲光华, 等. 基于虚拟激励法的轨道车辆垂向振动响应分析[J]. 中国铁道科学, 2012, 33(2): 89-94.
	Meng Jian-jun, Yang Ze-qing, Pu Guang-hua, et al. Vertical vibration response analysis of railway vehicle based on pseudo excitation method[J]. China Railway Science, 2012, 33(2): 89-94.
4	Cheli F, Corradi R. On rail vehicle vibrations induced by track unevenness: analysis of the excitation mechanism[J]. Journal of Sound and Vibration, 2011, 330(15): 3744-3765.
5	Soukup J, Skočilas J, Skočilasová B. Vertical vibration of the vehicle model with higher degree of freedom[J]. Procedia Engineering, 2014, 96: 435-443.
6	丁建明, 林建辉, 王晗, 等. 轨道局部缺陷动态检测冲击特征定位比较法[J]. 振动与冲击, 2014, 33(6): 113-117.
	Ding Jian-ming, Lin Jian-hui, Wang Han, et al. Dynamic detection of short track defects comparing position of impact characteristics[J]. Journal of Vibration and Shock, 2014, 33(6): 113-117.
7	Kojima T, Tsunashima H, Matsumoto A, et al. Fault detection of railway track by multi resolution analysis[C]∥年次大会講演論文集: JSME Annual Meeting. The Japan Society of Mechanical Engineers. Prague: Czech Republic, 2006: 955-964.
8	徐磊, 陈宪麦, 徐伟昌, 等. 小波能量谱在铁路轨道检测中的应用[J]. 振动工程学报, 2014, 27(4): 605-612.
	Xu Lei, Chen Xian-mai, Xu Wei-chang, et al. Application of wavelet energy spectrum in railway track detection[J]. Journal of Vibration Engineering, 2014, 27(4): 605-612.
9	Li Y, Zuo M J, Lin J, et al. Fault detection method for railway wheel flat using an adaptive multiscale morphological filter[J]. Mechanical Systems and Signal Processing, 2017, 84: 642-658.
10	Salvador P, Naranjo V, Insa R, et al. Axlebox accelerations: their acquisition and time-frequency characterisation for railway track monitoring purposes[J]. Measurement, 2016, 82: 301-312.
11	Molodova M, Oregui M, Núñez A, et al. Health condition monitoring of insulated joints based on axle box acceleration measurements[J]. Engineering Structures, 2016, 123: 225-235.
12	Molodova M, Li Z, Núñez A, et al. Automatic detection of squats in railway infrastructure[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(5): 1980-1990.
13	朱玉田, 华钜富, 陈龙安, 等. 运动关联随机过程的监测预警系统设计[J]. 中国工程机械学报, 2015, 13(1): 44-49.
	Zhu Yu-tian, Hua Ju-fu, Chen Long-an, et al. Precaution system design for motion-related random process monitoring[J]. Chinese Journal of Construction Machinery, 2015, 13(1): 44-49.
14	向俊, 曾庆元, 周智辉. 桥上列车脱轨的力学机理、能量随机分析理论及其应用[J]. 铁道学报, 2004, 26(2): 97-104.
	Xiang Jun, Zeng Qing-yuan, Zhou Zhi-hui. Mechanical mechanism and random energy analysis theory of train derailment on the bridge and its application[J]. Journal of The China Railway Society, 2004, 26(2): 97-104.
15	罗乐, 郑旭, 吕义, 等. 高速列车车轮及轮对的声辐射特性[J]. 吉林大学学报: 工学版, 2016, 46(5): 1464-1470.
	Luo Le, Zheng Xu，Lyu Yi, et al. Sound radiation characteristics of high-speed train wheel and wheelsets[J]. Journal of Jilin University(Engineering and Technology Edition), 2016, 46(5): 1464-1470.
16	Haigermoser A, Luber B, Rauh J, et al. Road and track irregularities: measurement, assessment and simulation[J]. Vehicle System Dynamics, 2015, 53(7): 878-957.
17	牛治慧, 苏建, 张益瑞, 等. 基于转向架试验台的轨道不平顺模拟试验[J]. 吉林大学学报: 工学版, 2017, 47(2): 400-407.
	Niu Zhi-hui, Su Jian, Zhang Yi-rui, et al. Track irregularity simulation based on bogie test rig[J]. Journal of Jilin University(Engineering and Technology Edition), 2017, 47(2): 400-407.
18	周长城, 于曰伟, 赵雷雷. 高速列车一系垂向悬挂系统最佳阻尼比的解析计算[J]. 铁道科学与工程学报, 2016, 13(10): 1891-1898.
	Zhou Chang-cheng, Yu Yue-wei, Zhao Lei-lei. Analytical calculation of the optimal damping ratio of primary vertical suspension system for high-speed train[J]. Journal of Railway Science and Engineering, 2016, 13(10): 1891-1898.
19	Mastinu G R M, Gobbi M, Pace G D. Analytical formulae for the design of a railway vehicle suspension system[J]. Proceedings of the Institution of Mechanical Engineers Part C, Journal of Mechanical Engineering Science, 2001, 215(6): 683-698.
20	Wu T X, Thompson D J. A hybrid model for the noise generation due to railway wheel flats[J]. Journal of Sound and Vibration, 2002, 251(1): 115-139.
21	Liang B, Iwnicki S, Feng G, et al. Railway wheel flat and rail surface defect detection by time-frequency analysis[J]. Vehicle System Dynamics, 2013, 51(9): 1403-1421.
22	Molodova M, Li Z, Dollevoet R P B J. Axle box acceleration: measurement and simulation for detection of short track defects[J]. Wear, 2011, 271(1/2): 349-356.

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