Estimation of Compaction Parameters Based on Soil Classification

2nd International Conference on Innovation in Engineering and Vocational Education

工业技术;教育

Lubis, A.S.^1 ; Muis, Z.A.^1 ; Hastuty, I.P.^1 ; Siregar, I.M.^1

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

关键词: Compaction parameters;    Compaction test;    Confidence interval;    Dry unit weight;    Implementation system;    Optimum water content;    Research results;    Soil classification;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/306/1/012005/pdf
DOI  :  10.1088/1757-899X/306/1/012005

来源: IOP

【 摘 要 】

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 (γdmax) 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 (γdmax∗)=1,862-0,005∗FINES- 0,003∗LL and estimation of the optimum water content (wopt∗)=- 0,607+0,362∗FINES+0,161∗LL. By Goswami Model (with equation Y=mLogG+k), for estimation of the maximum dry unit weight (γdmax∗) with m=-0,376 and k=2,482, for estimation of the optimum water content (wopt∗) with m=21,265 and k=-32,421. For both of these equations a 95% confidence interval was obtained.