Concrete ultrasound tomography algorithm
An ultrasonic tomography and concrete technology, which is used in the analysis of solids using sonic/ultrasonic/infrasonic waves, calculations, special data processing applications, etc.
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Embodiment 1
[0035] refer to image 3 As shown, the measurement area is a rectangular area of 100cm×60cm, which is divided into 10×6 grids (imaging units), each of which is 10cm×10cm in size, and the grids are numbered in sequence from bottom to top and from left to right , of which Nos. 22, 23, 28, 29, 34, and 35 are defect cells, the defect wave velocity is 4050m / s, and the normal wave velocity is 4500m / s, and the transmitting and receiving transducers are arranged on both sides of the length direction.
[0036] refer to Figure 4 As shown in a-c, the ART algorithm is used to iterate 100 times and the tower-type ART algorithm is used for inversion. The comparison of the calculation results is shown in Table 1. In the figure, the x-axis represents the length of the survey area in meters, and the y-axis represents the width of the survey area in units of The z-axis represents the wave speed, and the unit is m / s. It can be seen that the tower-type ART algorithm weakens the influence of ...
Embodiment 2
[0039] Concrete specimens were used for simulation tests. The section measuring area of the specimens was 44cm long and 50cm deep, and was divided into 11×10 grids. Transmitting and receiving transducers are arranged on both sides of the , and 11×11 sound hours are obtained, and the ART algorithm and the tower ART algorithm are used for inversion respectively. The obtained cross-sectional wave velocity distribution is shown in the attached Figure 5 And attached Figure 6 shown.
[0040] refer to Figure 5 As shown, the cross-sectional imaging of the traditional ART algorithm deviates, and two defect areas appear in the center of the specimen, which is inconsistent with a uniform defect in the center of the concrete specimen.
[0041] refer to Figure 6 As shown, the imaging quality of the tower ART algorithm has improved, and the defect position is more prominent, but it cannot accurately reflect the defect shape.
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