混凝土构件质量缺陷声波探测快速成像技术

doi:10.13229/j.cnki.jdxbgxb20200205

摘要/Abstract

摘要：

为了满足对混凝土构件质量缺陷进行高效定量检测的需求，本文提出了基于双稳定型共轭梯度-快速傅里叶变换的积分方程和多场源、多频率对比源反演的声波探测快速成像算法。引入快速傅里叶变换加快积分方程格林函数的计算效率，运用双稳定型共轭梯度方法，提高了迭代求解大型矩阵方程组的稳定性；反演过程引入无需计算雅可比矩阵的对比源反演算法，可适用于特殊观测系统的数据量，应用快速傅里叶变换加快了对比源反演迭代过程中涉及的矩阵相乘计算。数值模拟和实际算例表明：本文算法可获得较好的重建结果，提高了质量缺陷的定位效率，验证了算法的可行性及有效性，为采用声波探测快速提取混凝土质量缺陷属性的应用奠定了理论基础。

关键词: 勘查技术与工程, 混凝土质量缺陷, 声波探测, 积分方程, 对比源反演, 快速成像

Abstract:

In order to meet the requirement of efficient and quantitative concrete quality defect detection， a fast imaging algorithm based on the integral equation method with Biconjugate Gradient Stabilized-Fast Fourier Transform （BCGS-FFT） and the Multiple-source and Multiple-frequency Contrast Source Inversion （MMCSI） is proposed. Firstly， the FFT is introduced into the forward process to accelerate the calculation efficiency of the integral equation green's function， and the BCGS is used to improve the stability of iterative solution in the large matrix equations. Secondly， the CSI algorithm without calculating Jacobian matrix is introduced in the inversion process， which can be applied to the data volume of special observation system. The FFT is applied to speed up the matrix multiplication calculation involved in the iterative process of inversion. Finally， numerical simulation and practical examples show that the algorithm can obtain better reconstruction results and improve the efficiency of location in concrete quality defects detection. Furthermore， the results verify the feasibility and effectiveness of the algorithm， which lays a theoretical foundation for the application of acoustic detection to quickly extract the properties of concrete quality defects.

Key words: exploration technology and engineering, concrete quality defect, acoustic tomography, integral equation, contrast source inversion, fast imaging

中图分类号:

P163

李静和,孟淑君. 混凝土构件质量缺陷声波探测快速成像技术[J]. 吉林大学学报(工学版), 2021, 51(3): 965-976.

Jing-he LI,Shu-jun MENG. Fast imaging for concrete quality defect detection using acoustic tomography[J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(3): 965-976.

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