Estimation of Geometric Information of Internal Defectsin Concrete Using Radar Image and GAN

Abstract

In order to accurately evaluate the performance of existing concrete structures, a method that can acquire not only the surface but also detailed information such as crack positions, sizes, and angles inside the structure is desired. Therefore, in this research, we attempted to apply the method of estimating and visualizing the position and angle information of defects in concrete using GAN from radar images. Specifically, first, a specimen with artificial defects arranged at different positions, sizes, and angles is prepared, and radar images are acquired. The acquired data was learned by pix2pix, which is an application technology of GAN, and the cross-sectional image including defects was estimated and visualized from the radar image. As a result of the examination, although the proposed method can reproduce the position, size, and angle information of the defect, when the position of the defect becomes deep, the reflected wave from the defect becomes relatively close, and as a result, the estimation accuracy tends to decrease.