碳纤维拉索缺陷的电磁层析成像有限元仿真  

Finite element simulation of electromagnetic tomography for defects in carbon fiber cables

作　　者：张苏嘉 苏益凡 周伟[1,2] 陈辰 韩金保 Zhang Sujia;Su Yifan;Zhou Wei;Chen Chen;Han Jinbao(School of Quality and Technical Supervision,Hebei University,Baoding 071002,China;National&Local Joint Engineering Research Center of Metrology Instrument and System,Hebei University,Baoding 071002,China)

机构地区：[1]河北大学质量技术监督学院,保定071002 [2]河北大学计量仪器与系统国家地方联合工程研究中心,保定071002

出　　处：《电子测量技术》2024年第8期86-92,共7页Electronic Measurement Technology

基　　金：国家重点研发计划(2022YFC3005103)项目资助。

摘　　要：碳纤维复合材料具有高比强度、高比刚度、耐腐蚀和抗疲劳等优点,是大跨度结构拉索的理想型材料。本文基于电磁层析成像技术采用有限元方法对碳纤维拉索的断股和脱粘缺陷进行仿真研究,设计了一种8线圈圆周型传感器阵列,探究了传感器尺寸、激励电流大小与磁感应强度的关系,根据仿真电磁信号研究了LBP算法、Tikhonov算法和Landweber算法3种重建算法对不同拉索缺陷重建图像质量的影响。结果表明,在研究范围内随着传感器线圈直径的减小和激励电流的增大,磁感应强度逐渐增大,并在线圈直径为5 mm和激励电流为1 A时达到最大值;与其他图像重建方法相比,Tikhonov算法能够更好的平衡图像重建效果和成像质量,更适用于碳纤维拉索缺陷检测图像的重建过程。此外,在传感器阵列固定的情况下将拉索缺陷旋转,分析了不同投影角度对缺陷成像效果的影响。本研究旨在为实验条件下碳纤维拉索的传感器阵列设计和缺陷检测成像提供参考依据。Carbon fiber composites have excellent properties such as high specific strength,high specific stiffness,corrosion resistance and fatigue resistance,which are ideal construction materials for large-span structural cables.In this paper,a simulation study of broken strands and debonding in carbon fiber cables was carried out using the finite element method based on the electromagnetic tomography technique,and an 8-coil circumferential sensor array was designed to investigate the relationship between the sensor dimension,the magnitude of the excitation current and the magnetic induction intensity.The effects of three reconstruction algorithms,LBP algorithm,Tikhonov algorithm and Landweber algorithm,on the quality of reconstructed images of different cables defects were investigated based on the simulated electromagnetic signals.The results show that as the diameter of the sensor coils decreases and the excitation current increases within the studied range,the magnetic field intensity progressively increases.When the diameter of the sensor coils is 5 mm and the excitation current is 1 A,the magnetic field intensity reaches its maximum value.Compared with other image reconstruction methods,the Tikhonov is suitable for the reconstruction process of defect detection images in carbon fiber cables due to Tikhonov algorithm can better balance the image reconstruction effect and imaging quality.In addition,the effect of different projection angles on defect imaging was analyzed by rotating the cable defect with a fixed sensor array.The study aims to provide a reference basis for the design of sensor arrays and defect detection imaging of carbon fiber cables under experimental conditions.

关 键 词：电磁层析成像 碳纤维拉索 有限元仿真 传感器阵列 图像重建 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TN06[自动化与计算机技术—计算机科学与技术]