Dwinagara, Barlian and PRABANDARU, PRASODO DATU and WIYONO, Bagus and LUSANTONO, OKTARIAN WISNU and Mustika Dewi, Ratna and Rekinagara, Istifari Husna and HAQ, Shofa Rijalul (2021) Effects Of Geomechanical Properties On Materials Adhesivity. International Journal of GEOMATE. pp. 1-8. ISSN : 2186-2982 (Print)
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Abstract
Material properties is one of the most significant variables in terms of efficiency. The sediment layer in a coal pit mine has a possibility of sticking to the equipment bucket and reducing its productivity, especially in the disposal area. Consequently, stickiness has a close definition of adhesivity level; thus it may be associated with geomechanical properties. Various soil classification in the disposal area was investigated to identify the relationship between adhesivity and geomechanical properties such as water content, density, cohesion, and internal friction angles. Multivariate regression analysis and statistical test (F-test and t-test) were used to investigate geomechanical properties related to adhesivity on each disposal area. Primary data was taken from a standard and modified laboratory testing. The results showed that disposal materials were high-plasticity materials with different grain-sizes. The dominant grain size on disposal 1, 2, and 3 were clay, sand, and clay, respectively. Based on regression analysis, the adhesivity on each disposal was increased along with the water content until its optimum value. Using a statistical test with a significance level of 95% (P-value
0.04), water content, cohesion and internal friction angle affected the adhesivity level on disposal 1 by 99% (adjusted R2 0.99). Adhesivity level in disposal 2 was only affected with density by 63% (adjusted R2 0.63). Meanwhile, in disposal 3, the significance level of 33% (P-value 0.50) was used to define that water content, cohesion, and internal friction angle as parameters affecting adhesivity level by 33% (adjusted R2 0.33).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Adhesivity, Geomechanical properties, Linear regression, Multi-variate analysis |
| Subjects: | T Technology > TN Mining engineering. Metallurgy |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | DR. Ir. MT BARLIAN DWINAGARA |
| Date Deposited: | 04 Apr 2022 04:14 |
| Last Modified: | 06 Apr 2022 03:41 |
| URI: | http://eprints.upnyk.ac.id/id/eprint/29270 |
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