基于FBG反射谱特征的铁路道岔损伤识别试验研究

叶肖伟;姜 洋;倪一清;苏 娟;董小鹏;肖杰灵;

振动与冲击 ›› 2014, Vol. 33 ›› Issue (6) : 71-76.

PDF(1947 KB)
PDF(1947 KB)
振动与冲击 ›› 2014, Vol. 33 ›› Issue (6) : 71-76.
论文

基于FBG反射谱特征的铁路道岔损伤识别试验研究

  • 叶肖伟1,2,姜 洋3,倪一清2,苏 娟3,董小鹏3,肖杰灵4,5
作者信息 +

Experimental study on damage detection of railway turnouts based on characteristics of FBG reflective spectra

  • YE Xiao-wei1,2,JIANG Yang3,NI Yi-qing2,SU Juan3,DONG Xiao-peng3,XIAO Jie-ling4,5
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文章历史 +

摘要

针对道岔结构性能及安全状态对列车(尤其高速列车)行车安全与运行质量的重要性,提出基于光纤布拉格光栅(FBG)传感技术,利用FBG传感器反射谱特征对铁路道岔钢轨结构进行损伤(裂纹)识别。在带裂纹的道岔钢轨上安装FBG传感器进行静、动态加载室内实验。通过分析FBG传感器反射谱形状精细变化,实现对裂纹的识别。实验结果表明,该基于FBG反射谱特征的损伤识别方法可有效识别铁路道岔钢轨裂纹。

Abstract

The railway turnout is a vital component of the rail-track structure. The structural performance and safety condition of the railway turnout has a significant impact on the running safety and operation quality of the trains, especially the high-speed trains, and it is therefore of great importance to conduct the research of damage detection and crack monitoring for the railway turnout. This paper proposes a fiber Bragg grating (FBG) sensing technology-based method for damage detection of turnout rail-tracks with the aid of the characteristics of reflection spectra of the FBG sensors. The FBG sensors are installed on the turnout rail-track with cracks, and the static and dynamic experiments in the laboratory are carried out to verify the method of damage detection by analyzing the structure of reflection spectra of the FBG sensors. The experimental results show that the proposed damage identification method based on the characteristics of FBG reflective spectra can effectively identify the cracks on the turnout rail-tracks.

关键词

铁路道岔 / 光纤布拉格光栅 / 反射谱 / 损伤识别 / 裂纹监测

Key words

railway turnout / fiber Bragg grating / reflective spectrum / damage detection / crack monitoring

引用本文

导出引用
叶肖伟;姜 洋;倪一清;苏 娟;董小鹏;肖杰灵;. 基于FBG反射谱特征的铁路道岔损伤识别试验研究[J]. 振动与冲击, 2014, 33(6): 71-76
YE Xiao-wei;JIANG Yang;NI Yi-qing;SU Juan;DONG Xiao-peng;XIAO Jie-ling;. Experimental study on damage detection of railway turnouts based on characteristics of FBG reflective spectra[J]. Journal of Vibration and Shock, 2014, 33(6): 71-76

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