Abstract:
California Bearing Ratio (CBR) value is prime parameters that used as an indicator of sub
grade soil strength and design parameter for flexible asphalt pavements. The process of
determining this parameter in the laboratory is somewhat cumbersome, time consuming and
expensive. To generate the values of CBR at comparatively lesser time and expense, attempt has
been made to correlate CBR value with PI, OMC, LL, MDD and P200
(Percent passing the
number 200 sieve size) of soil samples collected along the road in Chencha Town. A comparison
is done between the experimental results and calculated values. Statistical analysis is carried out
using SPSS software version 16.0. A regression method applied here is a multiple linear
regression and simple linear regression.
A strong correlation was found between experimental determined CBR Values and OMC, PI,
MDD with coefficient of determination of 0.981 twenty-five samples. However, a week relation is
found between CBR and PL with coefficient of determination of 0.204.
