Predicting Soaked CBR Value of Fine Grained Soils Using Index and Compaction Characteristics

California Bearing Ratio (CBR) value is an indicator of subgrade soil strength and is used often for design of flexible pavements. The conventional soaked CBR testing method is expensive and time consuming. To overcome this situation, it is appreciable to predict CBR value of subgrade soil with simple properties of soils such as index properties which include grain size analysis (% Gravel, % Sand, % Fines), Liquid Limit (LL), Plastic Limit (PL), and compaction characteristics; namely Maximum Dry Density (MDD) and Optimum Moisture Content (OMC). The present study aims at developing regression-based models for predicting soaked CBR value for fine-grained subgrade soils in terms of gran size analysis, LL, PL, MDD and OMC.