Using Geometry Data from Ground Penetrating Radar to Improve Pavement Layers Auscultation Using Seismic Surface Waves Inversion Method — Oak Academic Publishing
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Using Geometry Data from Ground Penetrating Radar to Improve Pavement Layers Auscultation Using Seismic Surface Waves Inversion Method
Laboratory of Mechanics and Soils Modelisation, University Iba Der Thiam of Thies, Thiès, Senegal
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Laboratory of Mechanics and Soils Modelisation, University Iba Der Thiam of Thies, Thiès, Senegal
1 Laboratory of Mechanics and Soils Modelisation, University Iba Der Thiam of Thies, Thiès, Senegal
2 Laboratory of Mechanics and Soils Modelisation, University Iba Der Thiam of Thies, Thiès, Senegal
In order to reduce the unknown parameters during the inversion of the dispersion curve in the aim to obtain more precise Vs and V P profiles, the Multi-Channel Analysis of Surface Waves (MASW) method was combined with the Ground Penetrating Radar (GPR) method. First, a 2D GPR profile was made on the pavement, then 1D MASW profiles spaced by 0.2 m apart in the perpendicular direction and centered on the intersection with the Radar profile. The GPR measurements, made with a 1600 Hz antenna, allowed to calculate the dielectric permittivities then velocities in order to convert the times profiles to depth. Thus, the thicknesses of the layers are directly read on the radar profile. MASW measurements were performed by simulating the Multi-Channel Simulation with One Receiver (MSOR) method in Land Streamer mode. Six 4.5 Hz pointless geophones are connected to the seismograph consisting of an Arduino Due microcontroller and a nano-computer type Raspberry Pi 4. The results of the dispersion analysis showed a fundamental mode located between approximately 70 Hz and 200 Hz and an inverted dispersion, characteri stic of pavements with higher frequencies propagating at hi gher velocities. The results show that the integration of the number of layers and the thicknesses obtained from the GPR measurements in the inversion parameters makes it possible to obtain a more precise Vs and V P velocity profile. All profiles, seismic and radar, have shown that velocities decrease with d epth. The detected heterogeneities appear to be related to differences in water content inside the pavement.
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