Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (3): 965-976.doi: 10.13229/j.cnki.jdxbgxb20200205

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Fast imaging for concrete quality defect detection using acoustic tomography

Jing-he LI1(),Shu-jun MENG2   

  1. 1.College of Earth Sciences，Guilin University of Technology，Guilin 541004，China
    2.Control Science and Engineering，Shandong University，Ji'nan 250061，China
  • Received:2020-04-03 Online:2021-05-01 Published:2021-05-07

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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

CLC Number: 

  • P163

Fig.1

Model of concrete quality defects with different properties & ultrasonic measured system"

Fig.2

Flow chart of MMCSI algorithm"

Fig.3

Schematic diagram of observation system"

Fig.4

Inversion results of simple defect with measuring on two-side observation system"

Fig.5

Inversion fitting error curves of simple defect with measuring on two-side observation system"

Fig.6

Inversion results of simple defect model withomnidirectional observation system"

Fig.7

Efficiency trends of inversion calculationwith different observation systems"

Fig.8

Inversion results of complex model"

Fig.9

Inversion fitting error curves ofcomplex defect model"

Fig.10

Inversion results of simple defectmodel with noise"

Fig.11

Inversion fitting error curves ofsimple defect model with noise"

Fig.12

Inversion results of complexdefect model with noise"

Fig.13

Inversion fitting error curves of complexdefect model with noise"

Fig.14

Schematic diagram of example of an actual concrete member model"

Fig.15

Inversion results of actual concretemember with noise"

Fig.16

Inversion fitting error curves of actualconcrete member with noise"

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