Evaluation of Influential Factors on the Dynamic Compaction Operation of Granular Soils Based on Fuzzy Method

Dynamic compaction (DC) technique with tamping is one of the soil improvement methods. Nowadays, there is a considerable interest in DC due to its advantages among the methods of soil improvement. In the present study, fuzzy logic and Sugeno inference system have been used to evaluate the influence of parameters involved in dynamic compaction over the depth of improvement. Input variables are used for loose granular soils and include tamper weight, height of tamping, tamper radius, print spacing, number of drops and soil layer geotechnical properties and four improvement depth of relative degree as output variables. Input and output data are extracted from the reliable scientific literature. Following development of the fuzzy model, the results of this study has been validated with the results of valid Dynamic Compaction operation in the world. Then as a case study with using the prepared model, Dynamic Compaction Operation in Shahid Rajaee Port in Iran has been analyzed. The results indicate that the effect of tamper weight is greater than the height of tamping and print spacing is in third importance grade. The interaction between tamper weight and dropping height plays the greatest role in the design procedures. Studies show that the optimal tamper radius for most compaction patterns with medium to high applied energies is equal 1.5 to 2 meters, the optimal dropping numbers are equal 25 and optimal print spacing is equal 6 to 7 meters so using this pattern leads to obtain maximum improvement depth.