Abstract:
Correlations are important to estimate engineering properties of soils particularly for
project where there is a financial limitation, 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. In
this thesis, attempts have been made to obtain valid correlations between unconf ined
compressive strength with Atterberg limit , dry density and grain size distribution of sub
grade soils. In this correlation, twenty two different disturbed and undisturbed soils
samples were collected from Sebetamit - Tis Abay road subgrade soils. Various
laboratory tests including Atterberg limit , dry density, grain size Analysis, and
unconfined compression strength tests were performed on the samples. Grain size
analysis shows the soil is silty clay and according to unified soil classification system the
soil sample falls in CH (Inorganic clay), MH (Inorganic silt) and in AASHTO they are in
a region A-7-5 and A-7-6 (clayey). In this research, statistical software (SPSS) is
employed to investigate the significance of individual independent variables. The
correlation is established in the form of an equation of unconfined compressive strength
as a function of index properties test by considering the effect of an individual soil
properties and effect of a combination of soil properties on the unconfined compressive
strength value. The developed correlation using single regression analysis the coefficient
of determination R
2
= 0.945, while multiple regression analysis generated relatively an
improved correlation of R
2
= 0.960, for a sample size of eighteen. After validating the
developed correlation with control test results, it was noted that the correlation of
unconfined compressive strength value with soil index properties is more applicable for
preliminary characterizing the strength of subgrade soils
Keywords: Unconfined compressive strength, Index Properties, Prediction Models,
Coefficient of determination