Regression model for prediction of optimum moisture content and maximum dry unit weight of fine grained soil

In the present paper, log linear regression models have been developed to estimate the maximum dry unit weight and optimum moisture content of fine grained soil. The parameters such as compaction energy, specific gravity, liquid limit, and grain size (grain size, corresponding to 50% finer particles) are showing the significant contribution for both the models for predicting the maximum dry unit weight as well as optimum moisture content of fine grained soil. All possible regression techniques have been performed for predicting the best models. The above models are useful within the range of 318.10 - to 10832.10 kJ/m3, 2.60 to 2.80, 30.81 - to 213.27%, and 0.0008 - to 0.019 mm for compaction energy, specific gravity, liquid limit, and grain size (Grain size, corresponding to 50% finer particles) respectively.