GPR;
Concrete;
High-resolution;
Data processing;
Inversion;
D O I:
10.1016/j.ndteint.2010.02.002
中图分类号:
TB3 [工程材料学];
学科分类号:
0805 ;
080502 ;
摘要:
A high-resolution multi-sensor and multi-polarization Ground Penetrating Radar (GPR) dataset was acquired on a concrete retaining wall. This dataset was characterised as a low pass filter with the help of a moving window spectral analysis. In order to examine the benefits and limits of innovative processing strategies, the dataset was processed with three different methods: classical 2-D processing, full 3-D processing followed by data fusion and inverse scattering followed by data fusion. A comparison of the results for two layers of rebar present in the wall shows that the innovative approaches improve the results for near surface structures when compared to classical 2-D processing. For deeper structures, the benefits of the innovative approaches are limited because of the low pass properties of the concrete. (C) 2010 Elsevier Ltd. All rights reserved.