SAPTONO, Singgih and KRAMADIBRATA, Suseno and WATTIMENA, Ridho K. and SULISTIANTO, Budi and Nugroho, P and Iskandar, E and Bahri, S (2008) Hasil Uji Similaritas_Low Wall Slope Monitoring by Robotic Theodolite System Likely to Contribute to Increased Production of Coal in PT Adaro Indonesia. First Southern Hemisphere International Rock Mechanics Symposium 2008, Australian Centre for Geomechanics..
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Low Wall Slope Monitoring by Robotic Theodolite System Likely to Contribute to Increased Production of Coal in PT Adaro Indonesia.pdf Download (5MB) | Preview |
Abstract
Following the adoption of the plan of PT Adaro Indonesia to increase its coal production from 36 to 38 Mtpa in 2008, the pit wall slope stability will be one of the important factors to be monitored. The wall stability can be assessed, as mining proceeds, by high-quality displacement monitoring and sophisticated data analysis. Robotic Theodolite is a system that is designed for automatic slope displacement monitoring. The system can produce displacement-versus-time graphs quickly and accurately and, compared to the manual system, fewer persons are required. The Robotic Theodolite system can also provide information of rock mass behaviour, as well as data for predicting the stability of the mining slopes. Furthermore, by applying the threshold limit value (THLV) to the system, an early warning system can be constructed. However, the THLV data available in PT Adaro Indonesia are derived from case histories from different rock masses and they cannot be directly imported into the Robotic Theodolite system. The data acquired by the Robotic Theodolite system at the Tutupan mine must therefore be validated by rheology modelling through laboratory creep shear tests, as the rheology model can be utilised to theoretically predict the failure time of the rock mass under a constant load.
| Item Type: | Other |
|---|---|
| Subjects: | T Technology > TN Mining engineering. Metallurgy |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | Nurul Alifah Rahmawati |
| Date Deposited: | 10 Nov 2021 04:13 |
| Last Modified: | 10 Nov 2021 04:13 |
| URI: | http://eprints.upnyk.ac.id/id/eprint/27011 |
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