BACK ANALYSIS OF SLOPE EMBANKMENT AT EAST BANKO-1 MINING AREA, MUARA ENIM DISTRICT, SOUTH SUMATERA
PT. Bukit Asam, Tbk. is a mining company that applies good mining practices and implements a backfilling method of mining. Mining activities in the form of overburden stripping and coal excavation can disrupt the rock mass, one of which is causing slope instability. Slope stability analysis, both...
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Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/53502 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | PT. Bukit Asam, Tbk. is a mining company that applies good mining practices and
implements a backfilling method of mining. Mining activities in the form of
overburden stripping and coal excavation can disrupt the rock mass, one of which
is causing slope instability. Slope stability analysis, both at the design stage and at
the mining and post-mining stages, is an important part and must be done to prevent
disturbances to the smooth running of production. The problem of slope instability
of the embankment slope at East Banko-1 mine area has hampered the continuity
of mining activities, such as the distance for the hauling of disposal materials to be
further away. Slopes that experience failure can provide a useful source of
information on the conditions in the slope at the time of the landslide. Slope
instability can be due to several reasons, one of the main factors is saturation of
the material by rainwater infiltration. Therefore, this study aims to identify the
characteristics of rainfall before landslides and to validate the physical and
mechanical properties of the slope material that have the most influence on
deformation.
Antecedent rainfall conditions can be used to identify thresholds associated to
critical daily rainfall. It is important to accurately determine the beginning of
critical rainfall and the time of triggering landslides, as well as rainfall
measurement tools that are relatively close to the study area. Based on the results
of cumulative rainfall analysis, the intensity of antecedent rainfall that triggered
landslides was 627.9 mm. The critical intensity of cumulative rainfall was obtained
at 117.4 mm in 18 days period before the landslide event. This causes the slope to
experience a saturated condition due to the increase in slope mass due to rainwater
infiltration and causes a decrease in matric suction.
Back analysis is an effective approach to provide insight into the mechanism of the
underlying slope landslide and increase understanding of the factors that influence
slope stability. Back analysis can be used to determine the parameters of shear
strength, pore water pressure, and other conditions during an avalanche. Fully
coupled analysis is used to model pore pressure formation and dissipation in the
soil structure in response to external loads through software incorporation.
Rainfall with a critical duration of 56 days can affect changes in pore pressure on
slope A of 92 kPa, slope B of 96.62 kPa, and slope C of 3.93 kPa. Based on the stress-strain analysis on the effective stress parameter, the optimum deformation
for slope A is 0.34 m, slope B is 1.33 m deformed, and slope C is 1.63 m.
The variation of data on physical and mechanical properties of soil based on
laboratory tests was carried out in a sensitivity analysis of the data to determine
the effect of variations in the value of random variables on the deformation that
occurred so that it was known which parameters greatly influenced the deformation
conditions due to stress-strain behavior. The results of the sensitivity analysis show
that the parameter that has the greatest effect on deformation is the modulus of
elasticity. Based on the graph between the standardize and deformation functions
on slopes A, B, and C in the study area, it is found that the intervals of the modulus
of elasticity in the test samples that have a correlation with the actual deformation
are values below average modulus of elasticity and modulus of elasticity in average
-0.7 standard deviation. |
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