Abstract

Thickness of the pavement affects the subgrade strength in the design of flexible pavements. California Bearing Ratio (CBR) is one of the methods to determine the subgrade strength. The conventional soaked CBR testing method is expensive, laborious, and time consuming, so, here an attempt was made for correlating CBR values with the index properties of soils like LL, PL, PI, OMC, and MDD. Correlation co-efficient (R2 ) value of index properties with soaked CBR is determined. In this study, thirty (30) number of soil samples (having 44 < LL < 84) were collected from different parts of Sangareddy District (Telangana). Different laboratory tests, including Atterberg limits, Specific Gravity, Gradation Analysis, soaked CBR and compaction were performed on these samples and various linear relationships were established between index properties and soaked CBR of the samples using a statistical software (SPSS). Simple and multiple linear regression analysis was performed and eight (8) predictive equations were developed for estimating the soaked CBR value from the index properties of soil with a maximum R2 value of 0.947.

Keywords
Correlation Coefficient (R), Regression Analysis, Soaked CBR Value.

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