Improving the accuracy of pavement structural quality assessment by correcting numerical hypothetical model of modulus Back-Calculation through GPR

Zhao, Weitian; Yang, Qun; Wu, Wenliang; Liu, Jiajun

doi:10.1016/j.conbuildmat.2022.127422

Cited by 4 publications

(1 citation statement)

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“…where 𝐵 is the total bandwidth, 𝑁 is the number of frequency steps, and 𝑓 is the step frequency. The last parameter describing the GPR signal in the step-frequency system is the dwell time or pulse repetition interval, which is defined as the time taken to transmit the signal corresponding to each frequency [49]. [48].…”

Section: Multi-frequency 3d Gprmentioning

confidence: 99%

Optimization of Dominant Frequency and Bandwidth Analysis in Multi-Frequency 3D GPR Signals to Identify Contaminated Areas

Paredes-Palacios

Mota-Toledo²,

Biosca

et al. 2022

Sensors

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Ground-penetrating radar (GPR) has been widely used in investigations of contaminated areas because of its sensitivity to variations associated with the nature of pore fluids. However, most of the studies were usually based on the visual interpretation of radargrams or on a time domain amplitude analysis. In this work, we propose a methodology that consists of analyzing the spectral content of the signal recorded in multi-frequency 3D GPR profiles. A remarkable advantage of this type of antenna is its step-frequency system, which provides a much wider emission spectrum than the one corresponding to conventional single-frequency antennas. From the data in the frequency domain, the dominant frequency and bandwidth were calculated as parameters whose variation could be related to the presence of light non-aqueous phase liquid (LNAPL) in the subsurface. By analyzing the variations of these two parameters simultaneously, we were able to delimit the contaminated zones in a case study, associating them with a significant shift of the frequency spectrum with respect to the average of the study area. Finally, as a validation method of the proposed methodology, the results of the frequency analysis were compared with resistivity data obtained with an electromagnetic conductivity meter, showing a very good correlation between the results.

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Section: Multi-frequency 3d Gprmentioning

confidence: 99%