Estimation of Compaction Parameters Based on Soil Classification

Factors that must be considered in compaction of the soil works were the type of soil material, field control, maintenance and availability of funds. Those problems then raised the idea of how to estimate the density of the soil with a proper implementation system, fast, and economical. This study aims to estimate the compaction parameter i.e. the maximum dry unit weight (γ _dmax) and optimum water content (Wopt) based on soil classification. Each of 30 samples were being tested for its properties index and compaction test. All of the data's from the laboratory test results, were used to estimate the compaction parameter values by using linear regression and Goswami Model. From the research result, the soil types were A4, A-6, and A-7 according to AASHTO and SC, SC-SM, and CL based on USCS. By linear regression, the equation for estimation of the maximum dry unit weight (γd_max ^*)=1,862-0,005^*FINES- 0,003^*LL and estimation of the optimum water content (w_opt ^*)=- 0,607+0,362^*FINES+0,161^*LL. By Goswami Model (with equation Y=mLogG+k), for estimation of the maximum dry unit weight (γd_max ^*) with m=-0,376 and k=2,482, for estimation of the optimum water content (w_opt ^*) with m=21,265 and k=-32,421. For both of these equations a 95% confidence interval was obtained. (paper)