基于金宝搏188软件怎么用
多普勒频移的钢轨缺陷监测

邢博; 余祖俊; 许西宁; 朱力强

doi:10.3788/CO.20181106.0991

基于金宝搏188软件怎么用多普勒频移的钢轨缺陷监测

doi: 10.3788/CO.20181106.0991

cstr: 32171.14.CO.20181106.0991

邢博^1,,
余祖俊^{1, 2},
许西宁^{1, 2, ,},
朱力强^{1, 2}

1.
北京交通大学机械与电子控制工程学院, 北京 100044
2.
北京交通大学载运工具先进制造与测控技术教育部重点实验室, 北京 100044

基金项目:

“十三五”国家重点研发计划 2016YFB1200401

中央高校基本科研业务费 2016RC004

详细信息

作者简介:
邢博(1991-), 女, 吉林长春人, 博士研究生, 2014年于北京交通大学获得学士学位, 并保送北京交通大学硕博连读, 2015年转为博士研究生, 主要从事铁路基础设施无损检测方面的研究。E-mail:15116333@bjtu.edu.cn

许西宁(1979-), 男, 江苏徐州人, 博士后, 2014年于北京交通大学获得博士学位, 现为北京交通大学讲师, 主要从事铁路基础设施无损检测方面的研究。E-mail:xuxining@bjtu.edu.cn

中图分类号: TB553;TB57
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出版历程
- 收稿日期: 2018-09-11
- 修回日期: 2018-10-15
- 刊出日期: 2018-12-01

Rail defect monitoring based on laser Doppler frequency shift theory

XING Bo^1
,,
YU Zu-jun^{1, 2},
XU Xi-ning^{1, 2
, ,},
ZHU Li-qiang^{1, 2}

1.
School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
2.
Key Laboratory of Vehicle Advanced Manufacturing, Measuring and Control Technology(Beijing Jiaotong University), Ministry of Education, Beijing 100044, China

Funds:

National Key Research and Development Program of China 2016YFB1200401

Foundamental Research Funds for the Central Universities 2016RC004

More Information

Corresponding author: XU Xi-ning, E-mail: xuxining@bjtu.edu.cn

摘要

摘要: 针对现阶段我国铁路上应用的探伤设备只能在天窗时间进行人工巡检，无法在线监测的问题，提出一种基于超声导波的金宝搏188软件怎么用多普勒频移法钢轨内部缺陷监测方法。首先，引入环境温度作为变量改进了半解析有限元方法，并应用该方法获得了我国无缝线路CHN60钢轨在特定温度下的频散曲线。通过分析振型并结合激励响应算法确定了适于检测缺陷的模态及其激励方式，从而激励该超声导波模态使其在钢轨中传播。然后，应用半反半透玻璃镜将金宝搏188软件怎么用分为参考光和测量光，测量光通过Bragg Cell进行频偏照射钢轨表面，通过反射光产生的多普勒频移与参考光干涉得到光强度变化曲线，经过信号处理及标定测得钢轨内部缺陷的回波速度信号，再经过数字化处理和计算得到缺陷的位置。最后，在北京环形铁路试验基地进行了现场实验，以钢轨接地孔模拟钢轨内部核伤，得到缺陷定位误差均小于0.5 m，验证了该方法的可行性。使用金宝搏188软件怎么用多普勒频移方法检测导波信号从而定位缺陷的方法可以有效避免由于换能器接触性测量而产生的误差。该方法在不影响列车的正常运营的同时，实现了全天候无间断的在线监测，提高了检测效率。
- 缺陷 /
- 金宝搏188软件怎么用多普勒 /
- 激励响应 /
- 半解析有限元
Abstract: The flaw detection equipment applied on railway in China can only be inspected at the time of maintenance-skylight and cannot be on-line monitored at the present stage. A detection method of rail internal defects based on ultrasonic guided waves and laser Doppler frequency shift theory is proposed.First, the semi-analytical finite element method is improved by adding the environment temperature as a variable. The method is used to obtain the dispersion curve of the CHN60 rail in China at a specific temperature. Then, the modes which are suitable for the detection of defects and incentive methods have been selected through combining the analysis of mode shape with stimulation and response algorithm. Then, the laser is divided into reference light and measuring light by semi-transparent mirror. The measurement light is irradiated on the rail surface through Bragg Cell, and the change curve of the light intensity is obtained by the Doppler shift of reflected light and the interference of the reference light. The echo velocity signal of the internal defect of the rail is measured by signal processing and calibration. While this mode is stimulated and propagating in the railroad, the position of the defect can be detected after digital signal processing. Finally, the research group has conducted field experiments on the Beijing Ring Railway Experimental Base and verified the feasibility of the method. It shows that the error in defect location is less than 0.5 m. Using laser Doppler frequency shift method for guided wave signals to locate defects can effectively avoid the error caused by transducer contact measurement. It not only guarantees the normal operation of the train, but also realizes the all-weather on-line monitoring without interruption, which improves the detection efficiency.
- defect /
- laser Doppler /
- stimulation and response /
- semi-analytical finite element

HTML全文

图 1 CHN60钢轨坐标系

Figure 1. Coordinates of CHN60 rail

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图 2 CHN60轨截面离散图

Figure 2. Discretization of cross section of CHN60 rail

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图 3 频散曲线(T=32 ℃)

Figure 3. Dispersion curves(T=32 ℃)

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图 4 -20 ℃和40 ℃时3号轨腰扭转模态频散曲线

Figure 4. Dispersion curves of rail waist torsional mode for No.3 rail at -20 ℃ and 40 ℃

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图 5 钢轨中声波的衰减曲线图

Figure 5. Attenuation curves of sound waves in rails

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图 6 钢轨中各模态的振型

Figure 6. Vibration shapes of various modes in rails

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图 7 模态3的振型

Figure 7. Vibration shapes of mode 3

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图 8 激励方向和位置

Figure 8. Excitation direction and position

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图 9 激励信号频谱

Figure 9. Frequency spectrum of exciting signal

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图 10 4 m处轨腰中心y方向位移

Figure 10. Y direction displacement of rail waist center at x=4 m

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图 11 轨腰接地孔模拟缺陷

Figure 11. Simulation defect of rail waist ground hole

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图 12 仿真模型图

Figure 12. Simulation models

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图 13 回波信号

Figure 13. Reflection echo signal

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图 14 发射换能器安装图

Figure 14. Transmitting transducer installation

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图 15 设计原理及检测现场图

Figure 15. Design principle and detection image

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图 16 换能器安装位置示意图

Figure 16. Sketch of transducer installation

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图 17 接收点r1波形

Figure 17. Waveform of receiving node r1

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表 1 缺陷位置估算及误差

Table 1. Defect location estimation and its error

h1 h2 error1 error2

6 m 3.35 19.33 0.05 0.43

10 m 3.53 18.44 0.13 0.46

14 m 3.28 19.28 0.12 0.38

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map

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