Abstract:
e uncon ned compressive strength is the most widely used parameter to measure the strength of the subgrade or foundation
soil for cohesive soils. Due to its time-consuming and cost-e ective nature, most of the time-correlation equations have been used
to correlate uncon ned compressive strength with compaction parameters and soil index properties. e current study was
conducted in Burayu town where fty soil samples were collected and experimental geotechnical soil tests were carried out based
on the American Society for Testing and Materials (ASTM) standards. e correlation and regression analyses were done using the
experimental results obtained for uncon ned compressive strength (UCS) and compaction characteristics. e regression analysis
resulted in a fair coe cient of correlation of 0.61 and 0.78 for single linear regression of UCS with maximum dry density (MDD)
and optimum moisture content (OMC), respectively, while R2 0.83 for multiple linear regression analysis of UCS with MDD and
OMC. After further emphasis, the equation developed using multiple linear regression (UCS −3105 + 1625 MDD + 40.9 OMC,
R2 0.83) which was chosen as a prediction equation. After validation of the established model using control tests, the statistical
regression analysis shows that the correlation is 97% accurate in the UCS determination for multiple regression analysis. is
implies that the established model could be used to predict the UCS in the study area
