Accurate and Fast Damage Thickness Estimation in Concrete Using
Smartphone-Mounted Handheld GPR and Spectrum Pattern Matching
- Tsukasa Mizutani ,
- Shunsuke IWAI
Abstract
Smartphone-Mounted Handheld GPR are used to detect rebar, but
quantitative detection of damage is difficult due to small reflectance.
In this study, we propose an algorithm to quantitatively estimate damage
thickness from received waveforms obtained from electromagnetic radar. A
simple estimation method that separates peaks from above and below the
crack from the time waveform is extremely difficult due to the presence
of subtractive interference and side lobes. Therefore, we focus on the
amplitude spectrum with the phase information dropped and estimate the
damage thickness by pattern matching with a rigorous theoretical
spectrum that takes multiple reflections into account. Rough damage
thickness is determined by first combining multiple centroids of
amplitude intensity and low-frequency components, and then spectral
pattern matching is performed within the gating and bandwidth ranges set
for each region, which also contributes to improving processing speed.
As a result, damage thicknesses from 2 mm to 180 mm could be
quantitatively estimated with a single algorithm in the 0.001 second
range, confirming the practical feasibility of this algorithm.