-
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。
-
关键词:
- 电阻抗层析成像(EIT) /
- 碳纤维复合材料(CFRP) /
- 正则化 /
- 预处理 /
- 软闭值
Abstract:Electrical Impedance Tomography (EIT), as a new nondestructive testing method for Carbon Fiber Reinforced Polymer (CFRP), has attracted extensive attention due to its low cost, non-radiation and visualization. Considering the serious ill-posedness of EIT inverse problem, regularization algorithm is usually used to improve the image quality. Based on the Modified Residual Norm Steepest Descent (MRNSD) algorithm, using its advantages in reducing image artifacts and maintaining boundary information, the MRNSD algorithm is improved by preprocessing and soft closed value method to solve the problems of semi-convergence and poor anti-noise effect of the algorithm. Through simulation and experiment, the imaging effects of the improved algorithm and several common algorithms are compared. The results show that the algorithm improves the image quality and anti-noise ability of EIT effectively, and achieves the automatic update of the optimal iteration times, which is conducive to promoting the practical application of EIT method in CFRP damage detection.
-
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 -
[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:1000-6893.2008.03.010YANG 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.1002-8978.2012.07.007ZOU 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.0254-3087.2017.04.022FAN 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=yqyb201112004REN 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=yqyb201803005WANG 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=zgcsjs201603026WANG 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=swyxgcx201803019LI 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=bjhkhtdxxb201911007FAN 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=zgdjgcxb201223014GUO 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