A Regression Model for Predicting the Strength of a Glycerol Contaminated Soil Improved with Cement

In this research different percent of cement (3 and 6 and 9 %) were used for improving strength of a glycerol contaminated clay soil at different curing times (3, 7, 14 and 28 days). The soilcement and soil-glycerol-cement samples were made with static compaction according to the maximum dry density and optimum water content of Standard Proctor Compaction tests. Unconfined compression tests were conducted on 53 soil-cement and soil-glycerol-cement samples with different curing times. In addition a regression model was proposed for predicting soil strength based on experimental data. Results showed a reduction in strength of soil samples due to contamination to glycerol and this reduction was a function of contamination percent. The results also showed that at 6% and 9% contamination soil-cementglycerol samples strength was less than the corresponding soil-cement samples. The proposed models include the percent of cement, percent of glycerol and curing time. Comparison between the model predictions and the experimental results showed that the proposed models can satisfactorily predict the strength by considering the percent of cement and glycerol at defined curing times.