Dummy Regression to Predict Resilient Modulus of Cohesive Subgrade Soils

Owing to a significant contribution of resilient modulus of subgrade soils in the overall performance of roads or railways, it is crucial to provide the best prediction of it. In other words, regarding road pavements, the behavior of pavements depends on the resilient deformations. This paper presents a new predictive equation for the resilient modulus of cohesive subgrade soils (A-4a and A-6a) using dummy regression. The results show that resilient modulus (MR) values exhibited a slight increase as the confining pressure increases. A-4a compacted at Optimum Moisture Content (OMC) found to attain higher values when compared to other conditions and different soils. A prediction model using dummy variables is proposed and shown to be able to predict the resilient modulus of cohesive subgrade soils over a range of stress states and water contents. 