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Evaluation methodology for obtaining geotechnical parameters using electrical resistivityNormal access

Authors: Laura Vanessa Araque Lavalle, Cassiano Antonio Bortolozo and Téhrrie Caroline König Ferraz Pacheco
Journal name: First Break
Issue: Vol 36, No 8, August 2018 pp. 55 - 59
Special topic: Near Surface Geoscience
Language: English
Info: Article, PDF ( 2.53Mb )
Price: € 30

For any type of construction it is necessary to accurately determine the parameters of characterization, permeability and resistance-deformation of the soil. That analysis is carried out with laboratory tests on samples extracted during the geotechnical field investigation. The advantage of this method is the direct measurement of more important properties controlling the environment and contour conditions. Although the process of extracting the samples tries not to modify the initial conditions of the soil, the intervention of the test generates changes in the initial structure, thus the results cannot fully represent the real conditions in the field. (Liu, 2008). Furthermore, the laboratory tests need time and are not cheap. Aditionally, the depths reached by the geotechnical test are not great. Geophysical methods (geoelectrical, ground penetrating radar, seismic refraction, etc) are neither invasive nor destructive. They are fast and cheaper. The geoelectric surveys represent the best alternative to defining the properties of the soil without modifying its initial structure. (Hesse et al., 1986) Electrical resistivity is the measurement of soil resistance to the passage of a current through it. Solids and liquid in the soil determinate the conductivity that electric fields generate when the electrical wave crosses the soil bed. Electrical conduction is a principal that determines electrical flow circulation in soils through the ions’ movement in the fluid pores. (Ozcep et al., 2009). This article proposes to evaluate the geotechnical parameters obtained from the correlations of the electrical resistivity to determine the soil type and its typical values. The methodology used in this work was developed by Siddiqui (2012).

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