Cement pavement void detection algorithm based on GPR signal and continuous wavelet transform method.

ABSTRACT: The dimension of the void area in pavement is crucial to its structural safety. However, there is no effective method to measure its geometric parameters. To address this issue, a void size extraction algorithm based on the continuous wavelet transform (CWT) method was proposed using ground-penetrating radar (GPR) signal. Firstly, the finite-difference time-domain (FDTD) method was used to investigate the GPR response of void areas with different shapes, sizes, and depths. Next, the GPR signal was processed using the CWT method, and a 3D image based on the CWT result was used to visualize the void area. Based on the differences between the void and normal pavement in the time and frequency domains, the signal with maximum energy from the CWT time-frequency result was extracted and combined

SUBMITTER: Yu Q 

PROVIDER: S-EPMC10641085 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature