The estimation of parameter compaction values for pavement subgrade stabilized with lime

TALENTA - Conference on Engineering, Science and Technology 2017

工业技术;自然科学

Lubis, A.S.^1 ; Muis, Z.A.^1 ; Simbolon, C.A.^1

Civil Engineering Department, Faculty of Engineering. Universitas Sumatera Utara, Medan, Indonesia^1

关键词: Compaction parameters;    Confidence interval;    Estimation of parameters;    Optimum water content;    Pavement subgrades;    Plasticity indices;    Positive correlations;    Soil classification;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/309/1/012118/pdf
DOI  :  10.1088/1757-899X/309/1/012118

来源: IOP

【 摘 要 】

The type of soil material, field control, maintenance and availability of funds are several factors that must be considered in compaction of the pavement subgrade. In determining the compaction parameters in laboratory desperately requires considerable materials, time and funds, and reliable laboratory operators. If the result of soil classification values can be used to estimate the compaction parameters of a subgrade material, so it would save time, energy, materials and cost on the execution of this work. This is also a clarification (cross check) of the work that has been done by technicians in the laboratory. The study aims to estimate the compaction parameter values ie. maximum dry unit weight (γdmax) and optimum water content (Wopt) of the soil subgrade that stabilized with lime. The tests that conducted in the laboratory of soil mechanics were to determine the index properties (Fines and Liquid Limit/LL) and Standard Compaction Test. Soil samples that have Plasticity Index (PI) > 10% were made with additional 3% lime for 30 samples. By using the Goswami equation, the compaction parameter values can be estimated by equation γdmax # =-0,1686 Log G + 1,8434 and Wopt#= 2,9178 log G + 17,086. From the validation calculation, there was a significant positive correlation between the compaction parameter values laboratory and the compaction parameter values estimated, with a 95% confidence interval as a strong relationship.