Statistical Analysis of Strength Property of Soil

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. An attempt is made here 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 sub grade in pavement design. However, it is always difficult for transportation engineers to obtain representative CBR value for design of pavement. Type of soil is not the only parameter which affects the CBR value, but it also varies with different soil properties possessed by the soil. Various researchers have performed CBR and other tests on soils to get the behavior and find the design parameters. 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 the method of regression analysis. Comparison is done between the experimental results and calculated results. Statistical Analysis was carried out using SPSS Software version 10.