2014
DOI: 10.1016/j.ndteint.2014.06.009
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Spectral absorption of spatial and temporal ground penetrating radar signals by water in construction materials

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Cited by 34 publications
(19 citation statements)
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“…The travel time between reflections can be converted into an average velocity for a particular point within a construction, which under certain assumptions can be used to calculate the dielectric constant: a physical property that is strongly influenced by water content [43]. Additionally, the amplitude of the surface (direct) wave is strongly dependent on water content and can be used as a proxy for near-surface water contents [44]. Both radar characteristics have been shown to calibrate well over a range of moisture contents for porous building materials [27] and are investigated here.…”
Section: Monitoringmentioning
confidence: 99%
“…The travel time between reflections can be converted into an average velocity for a particular point within a construction, which under certain assumptions can be used to calculate the dielectric constant: a physical property that is strongly influenced by water content [43]. Additionally, the amplitude of the surface (direct) wave is strongly dependent on water content and can be used as a proxy for near-surface water contents [44]. Both radar characteristics have been shown to calibrate well over a range of moisture contents for porous building materials [27] and are investigated here.…”
Section: Monitoringmentioning
confidence: 99%
“…The use of electromagnetic (EM) waves for the characterization of concrete moisture, either by GPR [1][2][3] or by capacitive methods has been investigated by many researchers. Indeed, the complex permittivity (both real and imaginary parts) of concrete is significantly influenced by moisture [4][5][6]. So the development of a probe able to measure complex permittivity of concrete, especially on site, is of great interest.…”
Section: Introductionmentioning
confidence: 99%
“…Wavelet transform was used in the time-frequency domain, and the algorithm is described in the following section. Advantages of which are reported in Lai et al [3].…”
Section: B Processing In Frequency Domainmentioning
confidence: 97%
“…C. Processing in time-frequency domain Time-frequency domain is able to express two types of information in one single plot, which makes it easier for data interpretation as the evolving and dispersive frequency content of the non-stationary GPR signals is correlated to the time axis. The plot can be produced by transforming the A-scans into a frequency map where the x-axis and y-axis represent the time and frequency respectively, and hence, the frequency distribution is spatially expressed across time [3].…”
Section: B Processing In Frequency Domainmentioning
confidence: 99%