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基于改进MRNSD算法的电阻抗层析成像

范文茹 李靓瑶 王勃

范文茹, 李靓瑶, 王勃等 . 基于改进MRNSD算法的电阻抗层析成像[J]. 北京航空航天大学学报, 2020, 46(8): 1564-1573. doi: 10.13700/j.bh.1001-5965.2019.0504
引用本文: 范文茹, 李靓瑶, 王勃等 . 基于改进MRNSD算法的电阻抗层析成像[J]. 北京航空航天大学学报, 2020, 46(8): 1564-1573. doi: 10.13700/j.bh.1001-5965.2019.0504
FAN Wenru, LI Jingyao, WANG Boet al. Electrical impedance tomography based on improved MRNSD algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(8): 1564-1573. doi: 10.13700/j.bh.1001-5965.2019.0504(in Chinese)
Citation: FAN Wenru, LI Jingyao, WANG Boet al. Electrical impedance tomography based on improved MRNSD algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(8): 1564-1573. doi: 10.13700/j.bh.1001-5965.2019.0504(in Chinese)

基于改进MRNSD算法的电阻抗层析成像

doi: 10.13700/j.bh.1001-5965.2019.0504
基金项目: 

国家自然科学基金 61871379

中央高校基本科研业务费专项资金 3122016A010

详细信息
    作者简介:

    范文茹  女, 博士, 副教授, 硕士生导师。主要研究方向:电学检测技术

    李靓瑶  女, 硕士研究生。主要研究方向:电学检测技术

    王勃  男, 硕士研究生。主要研究方向:电学检测技术

    通讯作者:

    范文茹. E-mail:wenrufan@hotmail.com

  • 中图分类号: TP212

Electrical impedance tomography based on improved MRNSD algorithm

Funds: 

National Natural Science Foundation of China 61871379

the Fundamental Research Funds for the Central Universities 3122016A010

More Information
  • 摘要:

    电阻抗层析成像(EIT)作为一种新兴的碳纤维增强复合材料(CFRP)无损检测方法,具有成本低、无辐射、可视化等优点,受到研究者广泛关注。EIT逆问题具有严重的病态性,通常采用正则化算法改善成像质量。基于修正残差范数最陡下降法(MRNSD),利用其在减少图像伪影和保持边界信息方面的优势,针对该算法存在的半收敛性和抗噪声效果差等问题,采用预处理和软闭值方法对MRNSD算法进行改进。通过仿真和实验,对比所提改进算法与几种常用算法的成像效果。结果表明,所提算法有效提高了EIT图像质量和抗噪声能力,并且实现了最佳迭代次数的自动更新,有利于推动EIT方法在CFRP损伤检测中的实际应用。

     

  • 图 1  正交型CFRP层压板模型

    Figure 1.  Orthogonal CFRP laminate model

    图 2  CFRP层压板损伤仿真实验结果

    Experimental results of CFRP laminates damage simulation

    Figure 2.  Experimental results of CFRP laminates damage simulation

    图 3  在1%噪声下CFRP层压板损伤仿真实验结果

    Figure 3.  Experimental results of CFRP laminates damage simulation under 1% noise

    图 4  在5%噪声下CFRP层压板损伤仿真实验结果

    Figure 4.  Experimental results of CFRP laminates damage simulation under 5% noise

    图 5  在1%噪声下CFRP层压板损伤仿真实验数据

    Figure 5.  Experimental data of CFRP laminates damage simulation under 1% noise

    图 6  在5%噪声下CFRP层压板损伤仿真实验数据

    Figure 6.  Experimental data of CFRP laminates damage simulation under 5% noise

    图 7  EIT碳纤维损伤检测实验平台

    Figure 7.  EIT experimental platform for carbon fiber damage detection

    图 8  CFRP层压板损伤检测实验结果

    Figure 8.  Experimental results of damage detection for CFRP laminates

    图 9  CFRP层压板损伤检测实验相关系数对比

    Figure 9.  Correlation coefficient comparison of damage detection experiment of CFRP laminates

    表  1  不同算法的相关系数值

    Table  1.   Value of correlation coefficients for different algorithms

    损伤模型 re
    CGLS Tikhonov MRNSD PMRNSD FPMRNSD
    冲击损伤1 0.375 2 0.517 8 0.884 7 0.891 6 0.882 6
    冲击损伤2 0.132 9 0.278 6 0.275 6 0.215 3 0.220 3
    分层损伤 0.328 3 0.436 7 0.907 5 0.903 1 0.910 4
    裂纹损伤 0.192 1 0.300 8 0.503 7 0.521 2 0.563 7
    下载: 导出CSV
  • [1] 杨乃宾.新一代大型客机复合材料结构[J].航空学报, 2008, 29(3):596-603. doi: 10.3321/j.issn:1000-6893.2008.03.010

    YANG N B.Composite structures for new generation large commercial jet[J].Acta Aeronautica et Astronautica Sinica, 2008, 29(3):596-603(in Chinese). doi: 10.3321/j.issn:1000-6893.2008.03.010
    [2] 邹达懿, 王鹏飞.复合材料平尾有限元建模方法研究[J].国外电子测量技术, 2012, 31(7):24-27. doi: 10.3969/j.issn.1002-8978.2012.07.007

    ZOU D Y, WANG P F. Investigation of finite element method for composite horizontal tail plane[J].Foreign Electronic Measurement Technology, 2012, 31(7):24-27(in Chinese). doi: 10.3969/j.issn.1002-8978.2012.07.007
    [3] 范文茹, 雷建, 董玉珊, 等.基于四电极法的CFRP结构损伤检测研究[J].仪器仪表学报, 2017, 38(4):961-968. doi: 10.3969/j.issn.0254-3087.2017.04.022

    FAN W R, LEI J, DONG Y S, et al.Damage detection of CFRP laminate structure based on four-probe method[J].Chinese Journal of Scientific Instrument, 2017, 38(4):961-968(in Chinese). doi: 10.3969/j.issn.0254-3087.2017.04.022
    [4] 任吉林, 曾亮, 张丽攀, 等.碳纤维复合材料涂层厚度涡流法测量的研究[J].仪器仪表学报, 2011, 32(12):2662-2668. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yqyb201112004

    REN J L, ZENG L, ZHANG L P, et al.Researh on thickness measureing of carbon fiber composite's coating with eddy current testing[J].Chinese Journal of Scientific Instrument, 2011, 32(12):2662-2668(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yqyb201112004
    [5] 程军.碳纤维复合材料的电磁涡流无损检测技术的研究[D].南京: 南京航空航天大学, 2015: 15-20.

    CHENG J.Nondestructive testing of carbon fiber reinforced polymer composites using eddy current method[D].Nanjing: Nanjing University of Aeronautics and Astronautics, 2015: 15-20(in Chinese).
    [6] 王昵辰, 杨瑞珍, 何赟泽, 等.多模红外热成像检测碳纤维布加固混凝土粘结缺陷[J].仪器仪表学报, 2018, 39(3):37-44. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yqyb201803005

    WANG Z C, YANG R Z, HE Y Z, et al.Detection of interface bonding defects in carbon fiber sheet reinforced concrete using multi-mode infrared thermography[J].Chinese Journal of Scientific Instrument, 2018, 39(3):37-44(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yqyb201803005
    [7] 王珍珍, 任鹏, 程鸿伟, 等.新型加固用智能碳纤维板及感知性能试验[J].中国测试, 2016, 42(3):113-117. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgcsjs201603026

    WANG Z Z, REN P, CHENG H W, et al.New smart carbon fiber reinforced polymer plate for strengthening and its sensing performance test[J].China Measurement & Test, 2016, 42(3):113-117(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgcsjs201603026
    [8] BALTOPOULOS A, POLYDORIDES N, PAMBAGUIAN L, et al.Damage identification in carbon fiber reinforced polymer plates using electrical resistance tomography mapping[J].Journal of Composite Materials, 2013, 47(26):3285-3301. doi: 10.1177/0021998312464079
    [9] FAN W R, WANG H X, XUE Q.Modified sparse regularization for electrical impedance tomography[J].Review of Scientific Instrument, 2016, 87:034702. doi: 10.1063/1.4943207
    [10] VAVOULIOTIS A, PAIPETIS A, KOSTOPULOS V.On the fatigue life prediction of CFRP laminates using the electrical resistance change method[J].Composites Science and Technology, 2011, 71(5):630-642. doi: 10.1016/j.compscitech.2011.01.003
    [11] CLAY M T, FERREE T C.Weighted regularization in electrical impedance tomography with applications to acute cerebral stroke[J].IEEE Transactions on Medical Imaging, 2002, 21(6):629-637. doi: 10.1109/TMI.2002.800572
    [12] GONZALEZ G, KOLEHMAINEN V, SEPPANEN A.Isotropic and anisotropic total variation regularization in electrical impedance tomography[J].Computers & Mathematics with Applications, 2017, 74(3):564-576. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=d01edd00cb5ea1f7d36ddd44ac24933d
    [13] 李星, 杨帆, 余晓, 等.基于自诊断正则化的电阻抗成像逆问题研究[J].生物医学工程学杂志, 2018, 35(3):460-467. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=swyxgcx201803019

    LI X, YANG F, YU X, et al.Study on the inverse problem of electrical impedance tomography based on self-diagnosis regularization[J].Journal of Biomedical Engineering, 2018, 35(3):460-467(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=swyxgcx201803019
    [14] 范文茹, 王勃, 李靓瑶, 等.基于电阻抗层析成像的CFRP结构损伤检测[J].北京航空航天大学学报, 2019, 45(11):2177-2183. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=bjhkhtdxxb201911007

    FAN W R, WANG B, LI J Y, et al.Damage detection of CFRP structure based on electrical impedance tomography[J].Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(11):2177-2183(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=bjhkhtdxxb201911007
    [15] 孙磊.碳纤维增强树脂基复合材料涡流无损检测有限元分析[D].厦门: 厦门大学, 2014: 14-21.

    SUN L.Finite element analysis of eddy current testing of carbon fiber reinforced polymers[D].Xiamen: Xiamen University, 2014: 14-21(in Chinese).
    [16] KAUFMAN L.Maximum likelihood, least squares, and penalized least squares for PET[J].IEEE Transactions on Medical Imaging, 1993, 12(2):200-214. doi: 10.1109/42.232249
    [17] NAGY J G, STRAKOS Z.Enforcing nonnegativity in image reconstruction algorithms[J].Mathematical Modeling Estimation and Imaging, 2000, 4121:182-190. doi: 10.1117/12.402439
    [18] 郭志恒, 律德才, 邵富群.基于差分灵敏度模型的电容层析成像图像重建方法[J].中国电机工程学报, 2012, 32(23):75-82. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgdjgcxb201223014

    GUO Z H, LV D C, SHAO F Q.Image reconstruction method for electrical capacitance tomography based on the difference sensitivity model[J].Proceedings of the CSEE, 2012, 32(23):75-82(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgdjgcxb201223014
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出版历程
  • 收稿日期:  2019-09-16
  • 录用日期:  2019-12-22
  • 刊出日期:  2020-08-20

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