Soil properties like California Bearing Ratio (CBR) and bearing capacity are very important for every civil infrastructure work. These properties are often required for construction works. But the procedure for finding these properties is very tedious and lengthy. It consumes a lot of time and money to obtain these results. Therefore, an attempt is made to find an alternate method for finding these properties using other properties requiring less resource. CBR is a commonly used indirect method to assess the stiffness modulus and shear strength of subgrade in pavement design. However, it is always difficult for transportation engineers to obtain representative CBR values for pavement design. The soil type is not the only parameter that affects the CBR value, but it also varies with different soil properties possessed by the soil. Various researchers have performed CBR and other soil tests to get the behavior and find the design parameters. However, few studies have been done to perform the regression analysis. Through regression analysis, one can have the trend of the dependent parameters with other independent parameters. To study the same, a method is proposed for correlating CBR values with the Liquid Limit, Plastic Limit, Plasticity Index, Optimum Moisture Content, and Maximum Dry Density of black cotton soils mixing with admixtures. The correlation is established in the form of an equation of CBR as a function of different soil properties by regression analysis. Comparison is done between the experimental results and calculated results. Statistical Analysis was carried out using SPSS Software version 10.

1. L. Yadu, R. K. Tripathi and D. V. Singh, “Comparison of fly ash and rice husk ash stabilized black cotton soil,” International Journal of Earth Sciences and Engineering, vol. 4, no. 6, pp. 42-45, 2011.
2. L. Yadu and R. K. Tripathi, “Effects of granulated blast furnace slag in the engineering behavior of stabilized soft soil,” Elsevier Proceeding Engineering, vol. 51, no. 2013, pp. 125-131, 2012.
3. L. Yadu and R. K. Tripathi, “Stabilization of soft soil with granulated blast furnace slag and fly ash,” International Journal of Research, Engineering and Technology, vol. 2, no. 2, pp. 115-119, 2013. https://dx.doi.org/10.15623/ijret.2013.0202005
4. L. Yadu and R. K. Tripathi, “Response of circular footing on new key engineering material-granulated blast furnace slag as structural fill,” in Advanced Materials Research, vol. 1119, Pfaffikon, Switzerland: Trans Tech Publications, 2015, pp. 726-730.
5. R. S. Patel and M. D. Desai, “CBR predicted by index properties for alluvial soils of South Gujarat”, in Proceedings of the Indian Geotechnical Conference, Mumbai, Dec. 2010, pp. 79-82.
6. C. Ogrey, T. K. Chakravarty, S. Sahu, R. Sinha, and L. Chandrakar, “Improvement of soft subgrade soil by rice husk ash for low volume roads,” B.Tech thesis, National Institute of Technology, Raipur, India, 2010.
7. T. M. Mahmoud, “The effect of different types of soils on the germination rate of the watercress seeds (nasturtium officinal),” International Journal of Applied and Physical Sciences, vol. 2, no. 1, pp. 21-32, 2016.
8. H. Maizir, R. Suryanita and H. Jingga, “Estimation of pile bearing capacity of single driven pile in sandy soil using finite element and artificial neural network methods,” International Journal of Applied and Physical Sciences, vol. 2, no. 2, pp.45-50, 2016.

L. Yadu and R. K. Tripathi, “Statistical analysis of strength property of soil,” International Journal of Applied and Physical Sciences, vol. 3, no. 1, pp. 1-4, 2017.