PROJECT TITLE :

Interference Removal for Autofocusing of GPR Data From RC Bridge Decks

ABSTRACT:

Robust interferences will substantially deteriorate the performance of autofocusing techniques in ground penetrating radar (GPR) data analysis for strengthened concrete (RC) bridge deck evaluation. During this paper, we have a tendency to propose a replacement approach primarily based on F-K dip filtering to get rid of interferences, together with direct waves and cross rebar reflections. Completely different from previously related work, the surface roughness and uneven cross rebar reflections resulted from GPR signals propagating through rough surface and inhomogeneous medium are rigorously modeled as reflectors with tiny dipping angles, and hence dip relaxations are introduced within the F-K dip filtering to get rid of sturdy interferences. The mechanism of the F-K filter without dip relaxation and the correctness of the rebar modeling are 1st illustrated using simulation knowledge. Then its effectiveness with adequate dip relaxation is demonstrated by each experimental and field knowledge. Additionally, the performance of the F-K dip filter with adequate dip relaxation is also compared with that of the background subtraction (BS) technique that's commonly used for direct wave removal in GPR knowledge processing for RC bridge deck evaluation.


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