Geological and Climatic Factors Affecting the Correlation between Electrical Resistivity and SPT N-Value in Sandy Soils of Phuket, Thailand

• Published in: Geosciences (Basel) 2023-06, Vol.13 (6), p.185
• Main Authors: Puttiwongrak, Avirut, Keo, Solina, Vann, Sakanann, Arpornthip, Tanwa, Suteerasak, Thongchai, Sukontasukkul, Piti
• Format: Article
• Language: English
• Subjects: Bedrock; Civil engineering; Classification; Climatic data; Coefficients; Correlation; Data collection; Earth science; Electrical resistivity; Field tests; Geology; Geophysical methods; Heavy rainfall; High temperature; Igneous rocks; Investigations; Least squares method; Metamorphic rocks; Phuket; Properties; Prospecting; Rainstorms; Regression analysis; Sandy soils; Shear strength; Soil; Soil conditions; Soil mechanics; Soil properties; SPT N-Value; Testing; Tropical environment; Tropical environments; Wind
• ISSN: 2076-3263; 2076-3263
• DOI: 10.3390/geosciences13060185

Understanding the technical properties of the subsurface soil is essential for carrying out any building project correctly. In sandy soils in Phuket, Thailand, a correlation between electrical resistivity and the SPT N-value should be established in design to cut down on the time and expense of engineering field work for site investigation operations. Using the least squares method, the data of electrical resistivity and SPT N-values were fitted for regression analysis, and the behavior of the fitting coefficients was examined under various soil conditions found in the field. The factors affecting the link between electrical resistivity and the SPT N-value were found using data classifications of geology and climate. Phuket is located in a humid tropical region with frequent heavy rainstorms and extended periods of high temperatures and is composed of two main distinct geological areas: (1) igneous rock and (2) sedimentary and metamorphic rocks. According to the geological classification, the regression parameter (R2) of the relationship between the electrical resistivity and SPT N-values somewhat increased from a straightforward plot (R2 = 0.0171) to 0.1721, and the geology and climate data categorization revealed the best fit which is an exponential model (R2 = 0.6175). By re-examining the two VES lines under the identical bedrock and climate characteristics as the original model, the relative R2 of 0.5519 validates the association between electrical resistivity and SPT N-values. It is important to emphasize that the geology and climate of the collected data have an impact on the correlation model. Furthermore, a geotechnical investigation should be used to confirm the findings of an electrical resistivity survey as a preliminary tool to assess any problematic subsurface zones. However, more field test data from diverse places must be acquired in order to establish the relationship between the SPT N-value and electrical resistivity of sandy soils.