基于微带天线传感器的斜裂纹定量识别算法  

Quantitative identification algorithm of oblique cracks based on microstrip antenna sensor

作　　者：许晨旭[1] 李润发 李云飞[1] 左天一 Xu Chenxu;Li Runfa;Li Yunfei;Zuo Tianyi

机构地区：[1]江苏省特种设备安全监督检验研究院,南京210036 [2]武汉理工大学交通与物流工程学院,武汉430070

出　　处：《起重运输机械》2023年第10期14-22,共9页Hoisting and Conveying Machinery

基　　金：国家市场监管总局科技计划项目“基于天线传感薄膜的金属结构焊缝表面裂纹扩展实时监测关键技术研究”(2021MK043)。

摘　　要：在结构健康监测领域中微带天线传感器主要用于定性监测,缺乏结构损伤的定量识别研究。文中提出一种基于微带天线传感器斜裂纹定量识别算法,用于裂纹长度和角度的定量识别。基于谐振腔模型下的电场和电流分布规律,并结合传感器的裂纹识别原理,从裂纹引起的电流绕行路径增量出发,提出投影因子的概念,将斜裂纹对传感器谐振频率的影响转换成相应的垂直裂纹和平行裂纹对谐振频率的影响,据此给出一种斜裂纹的定量识别算法。实验结果表明,所提出的斜裂纹定量识别算法可以很好的得到裂纹长度和角度,其中裂纹长度识别误差为±1mm,裂纹角度识别误差在±4°内。In structural health monitoring,microstrip antenna sensors are mainly used for qualitative monitoring,but there is a lack of quantitative identification of structural damage.In this paper,an oblique crack quantitative identification algorithm based on microstrip antenna sensor was proposed to quantitatively identify the crack length and angle.Based on the distribution law of electric field and current in the resonant cavity model,combined with the crack identification principle of the sensor,the concept of projection factor was put forward from the increment of current bypass path caused by cracks,and the influence of oblique cracks on the resonant frequency of the sensor was converted into the influence of corresponding vertical cracks and parallel cracks on the resonant frequency,and accordingly a quantitative identification algorithm of oblique cracks was proposed.Results show that the crack length and angle can be well obtained by the proposed quantitative identification algorithm of oblique cracks,in which the error of crack length identification is 1 mm and the error of crack angle identification does not exceed 4.

关 键 词：微带天线 结构裂纹 定量识别 结构健康监测 

分 类 号：TG115.28[金属学及工艺—物理冶金]