Abstract:
Correlations are important to estimate the engineering properties of soils, particularly for
projects where there is a financial limitation, a lack of test equipment, or limited time. Although
correlations are commonly used in the preliminary stage of any project, it is reasonable to
assign a unique strength to soils for their respective physical properties. Therefore, this study
aims to establish a correlation between unconfined compressive strength and index properties
of soils. In this work, undisturbed and disturbed soil samples were collected from fourteen test
pits at 1.0 m and 2.0 m depths and from four test pits at a depth of 1.5m for a total of thirty two sample specimens using purposive sampling techniques. Forthe test procedures, American
Society for Testing and Material (ASTM) standards and Indian Standard Methods of Test for
Soils (IS) were used. To develop the correlational models for this study, Statistical Package for
Social Science (SPSS-25), Microsoft Excel-2016, and Origin-Pro 8.5 softwares were used. The
objective of this study is modelling of Unconfined compressive strength with index properties
in the study area. Based on both single and multiple linear regression analysis a unique
correlation is obtained by combining Unconfined compressive strength (UCS) with soil index
properties for the study area. From the laboratory test results, the soil type of study area was
fine-grained with high plasticity silty soil (MH) and clayey soil (A-7-5) according to the soil
classification systems of USCS and AASHTO respectively with medium-stiff to stiff unconfined
compressive strength consistency. Accordingly, the best Model is obtained from single linear
regression (SLR) analysis and given by 𝐶𝑆 = 385.334 − 3.697 ∗ 𝐿𝐿with R
2=0.871, p-value
=0.000 < 0.05nfor fine grained cohesive soils of the study area
