Establishing the Correlations Between Electrical Resistivity and SPT N in Sandy Soils.

EasyChair Preprint 10327

Abstract

Conventional field tests such as the Standard Penetration test, Cone Penetration test, Pressuremeter test, and Dilatometer test are being used for subsurface explorations. Geophysical tests are also becoming popular in subsurface investigations by adopting in combination with conventional methods. Electrical Resistivity is one of the geophysical methods which measure the apparent resistivity of soils. This apparent resistivity of the soil depends on the particle size distribution, density, water content, temperature, mineral composition, etc. In the geotechnical engineering field, this method is also used for determining the engineering properties of contaminated soils and non-contaminated soils. From the literature review, it is understood that there is a scope to establish the correlation between SPT N value and electrical resistivity for different types of soil. Establishing these correlations by detailed study in subsurface investigations will help for the construction of common residential buildings. This article focuses on establishing the correlation between the apparent electrical resistivity and the Standard penetration number with the depth of the soil strata from the collected data of few sites. The average apparent electrical resistivity values are compared with the different boreholes nearer to the test location of electrical resistivity. The boreholes show the presence of sandy soils. The average apparent electrical resistivity values are compared with the SPT N values for the upper sandy soil layers where it is observed that the higher the apparent electrical resistivity, the SPT N value varies depending upon the particle size distribution and density of the soil layer. The variation between the apparent electrical resistivity and standard penetration number with depth is non-linear. This correlation has to be verified by the compilations of more field data for different soil layers.

Keyphrases: Particle size distribution, Standard Penetration Test, electrical resistivity, geophysical methods

@booklet{EasyChair:10327,
  author    = {M Balamaheswari and K Premalatha},
  title     = {Establishing the Correlations Between Electrical Resistivity and SPT N in Sandy Soils.},
  howpublished = {EasyChair Preprint 10327},
  year      = {EasyChair, 2023}}