Simulation and analysis of steel rail nuclear injury based on SIMPACK and EWT
-
摘要: 针对钢轨核伤仿真缺乏、核伤检测难的问题,采用SIMPACK构建车辆-轨道多体动力学模型,采用ANSYS软件和FEMBS接口进行弹性钢轨核伤建模与集成,从而实现不同核伤情况下车辆轴箱振动响应的计算机仿真。引入经验小波变换（EWT）对轴箱振动信号进行信号分析,采用边际谱进行核伤特征频率辨识,进行不同速度及核伤情况下的仿真。仿真结果表明,所构建的车辆-轨道多体动力学模型能够实现钢轨核伤的计算机仿真。对轴箱振动信号进行经验小波变换,得到的“W”型振动模态幅度和边际谱分析能够表征钢轨核伤尺寸及特征频率,从而验证了EWT方法的可行性。Abstract: Aiming at the problem about simulation and detection of steel rail nuclear injury, a multi-body dynamic model of the vehicle/track was built based on the SIMPACK software, and the elastic steel rail nuclear injury was modeled and integrated by using ANSYS software and FEMBS interface, thus the computer simulation of vehicle axle box vibration response under the different nuclear injury cases was implemented. Then the empirical wavelet transform(EWT) method was introduced to analyze the axle box vibration signal, and the marginal spectrum was employed to identify the characteristic frequency of nuclear injury. Finally, the simulation of different speed and nuclear injury cases was conducted. The simulation results showed that the model could implement the computer simulation of steel rail nuclear injury. The"W" type of vibration amplitude got by EWT of the axle box vibration signal and marginal spectrum analysis could characterize the size and frequency of steel rail nuclear injury, verify the feasibility of steel rail nuclear injury simulation analysis.
-
-
[1] 冯玉孚,宋子濂,穆恩生,等. 钢轨核伤容许限度的研究及探伤周期[J]. 中国铁道科学,1991,12（1）：48-59. [2] Zili Li, Xin Zhao, Coenraad Esveld, et al. An investigation into the causes of squats—Correlation analysis and numerical modeling[J]. Wear,2008,265(9-10):1349-1355. [3] 尹贤贤.基于运营车辆的钢轨核伤病害检测技术研究[D].北京：北京交通大学,2015. [4] Maria Molodova. Detection of early squats by axle box accelera-tion[D].Delft, Netherlands: TU Delft,2013. [5] Zili Li, Maria Molodova, Alfredo Núñez, et al. Improvements in Axle Box Acceleration Measurements for the Detection of Light Squats in Railway Infrastructure[J]. IEEE Transactions on Industrial Electronics, 2015, 62(7):4385-4397. [6] 赵 洁. 基于多传感器信息融合的轨道缺陷在线检测方法的研究[D].成都：西南交通大学,2015 [7] 陈 皓,李雪芹,王海明. 基于simpack仿真的铁路超限货物动态运输安全研究[J]. 铁路计算机应用,2017, 26（12）：5-9. [8] 李晓斌,方 宇,金子博,等. 基于SIMPACK软件的某型城市轨道交通车辆运行安全仿真及平稳性研究[J]. 城市轨道交通研究,2015,18（7）：85-89. [9] 于 杨,杨 岳. 基于混合模拟计算法的车辆构架结构可靠性分析[J]. 铁路计算机应用,2011,20（9）：13-16. [10] 陈新华,黄志辉,卜继玲. 基于ANSYS与SIMPACK联合仿真的柔性轮对动力学仿真分析[J]. 机车电传动,2014（2）：41-45. [11] Jerome Gilles. Empirical Wavelet Transform[J]. IEEE Transactions on Signal Processing, 2013, 61(16): 3999-4010. [12] 周友行,谢赛元,谢 奇,等. 基于监测信号边际谱和双谱特征融合的孔系钻削质量分析[J]. 振动与冲击,2015,34（24）：40-45. -
期刊类型引用(1)
1. 于彬. 浅析高速动车组故障诊断系统. 中国战略新兴产业. 2018(12): 172 . 
百度学术
其他类型引用(0)
计量
- 文章访问数: 66
- HTML全文浏览量: 2
- PDF下载量: 29
- 被引次数: 1
下载:
