混凝土缺陷检测的电阻成像约束反问题算法优化
作者:
中图分类号:

TU528.07

基金项目:

湖北省交通运输厅科技项目(2017-538-1-1)。


Research on resistance imaging constraint inverse problem in concrete defect detection
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [13]
  • |
  • 相似文献 [20]
  • | | |
  • 文章评论
    摘要:

    电阻层析成像(ERT,electrical resistance tomography)是一种以对象内部电导率分布为成像目标的可视化技术,具有低成本、无损伤等优点,在混凝土缺陷检测领域具有广阔的应用前景。根据电阻成像基本原理,基于Matlab平台编制ERT正问题和反问题程序,实现了约束牛顿迭代算法(NCRM,Newton's constrained reconstruction method)。计算过程中,根据混凝土基体及缺陷的电学特性和基体与缺陷的锐化边界条件对算法施加约束,通过逐步修正初值来干预逆运算,从而提高ERT反问题的计算稳定性和重构图像质量。试验结果表明:针对混凝土材料的缺陷检测,提出的ERT约束算法用较少的迭代次数即获得较好的效果,能较大程度消除成像目标的伪影,提高锐度,实现对混凝土缺陷相对精准的无损检测。

    Abstract:

    Electrical Resistance Tomography (ERT) is a kind of medical imaging technology taking the body's conductivity distribution as the target.With the advantages of visualization, low cost and no damage, it has broad prospects in the field of concrete defect detection. Based on the basic principle of resistance imaging, the MATLAB platform is used to compile the ERT forward and the inverse problem program. According to the electrical characteristics of concrete matrix and defects, we apply constraints to the algorithm and interfere with Newton-Raphson iteration process in inverse operation by modifying initial values, so as to improve the computational stability and image resolution of ERT posed inverse problem. The results show that the ERT constraint algorithm can reduce the number of iterations and eliminate imaging artifacts to a large extent, thus improving acuity and realizing relatively accurate nondestructive detection of concrete defects.

    参考文献
    [1] 王满丰, 刘福生. 超声法检测混凝土缺陷技术的发展概况[J]. 黑龙江交通科技, 2008, 31(7):70-70.WANG Manfeng, LIU Fusheng. Development of ultrasonic testing of concrete defects[J]. Communications Science and Technology Heilongjiang,2008,31(7):70-70.(in Chinese)
    [2] Molyneaux T C K, Millard S G, Bungey J H, et al. Radar assessment of structural concrete using neuralnetworks[J]. Ndt& E International, 1995, 28(5):281-288.
    [3] 黄莉. 基于红外热像的碳纤维混凝土损伤分析与研究[D]. 武汉:武汉理工大学, 2005.HUANG Li. Research on damage of carbon fiber reinforced concrete based on infrared thermography[D]. Wuhan:Wuhan University of Technology, 2005.(in Chinese)
    [4] Daily W, Ramirez A, Binley A, et al. Electrical resistance tomography[J]. The Leading Edge,2004, 23(5):409-512.
    [5] Zhou X Y, Bhat P, Ouyang H, et al. Localization of cracks in cementitious materials under uniaxial tension with electrical resistance tomography[J]. Construction and Building Materials, 2017, 138:45-55.
    [6] Borcea L. Electrical impedance tomography[J]. Inverse Problems,2002,18:99-136.
    [7] 陈晓艳, 张静. 采用阈值修正法改善电阻抗图像质量[J]. 中国生物医学工程学报, 2011, 30(4):481-486.CHEN Xiaoyan, ZHANG Jing. Using threshold correction method to improve the image quality of EIT[J]. Chinese Journal of Biomedical Engineering, 2011, 30(4):481-486.(in Chinese)
    [8] 董峰, 赵佳, 许燕斌, 等. 用于电阻层析成像的快速自适应硬阈值迭代算法[J]. 天津大学学报(自然科学与工程技术版), 2015, 48(4):305-310.DONG Feng, ZHAO Jia, XU Yanbin, et al. A fast adaptive iterative hard threshold algorithm for electrical resistance tomography[J]. Journal of Tianjin University(Science and Technology), 2015, 48(4):305-310.(in Chinese)
    [9] 肖理庆. 一种改进牛顿-拉夫逊ERT绝对图像重建算法[J]. 天津大学学报(自然科学与工程技术版), 2015, 48(8):734-741.XIAO Liqing. A modified newton-raphson absolute image reconstruction algorithm for ERT[J]. Journal of Tianjin University(Science and Technology), 2015, 48(8):734-741.(in Chinese)
    [10] Cheney M, Isaacson D, Newell J C, et al. NOSER:An algorithm for solving the inverse conductivity problem[J]. International Journal of Imaging Systems and Technology, 1990, 2(2):66-75.
    [11] 徐桂芝, 李颖. 生物医学电阻抗成像技术[M]. 北京:机械工业出版社, 2010.XU Guizhi, LI Ying. Electrical impedance tomography in biomedical engineering[M]. Beijing:China Machine Press, 2010.
    [12] 罗辞勇. 基于快速牛顿一步误差重构的电阻抗成像算法和实验研究[D]. 重庆:重庆大学, 2005.LUO Ciyong. Algorithm of electrical impedance tomography and experiment research based on fast newton's one-step error reconstructor[D]. Chongqing:Chongqing University, 2005.(in Chinese)
    [13] Heikkinen L M, Vauhkonen M, Savolainen T, et al. Modelling of internal structures and electrodes in electrical process tomography[J]. Measurement Science and Technology, 2001, 12(8):1012-1019.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

余佳干,陈智俊,周小勇,潘勋.混凝土缺陷检测的电阻成像约束反问题算法优化[J].重庆大学学报,2019,42(5):66-75.

复制
分享
文章指标
  • 点击次数:749
  • 下载次数: 986
  • HTML阅读次数: 977
  • 引用次数: 0
历史
  • 收稿日期:2018-11-30
  • 在线发布日期: 2019-05-24
文章二维码