A LABORATORY SCALE OF PHYSICAL MODELING OF SLOPE FAILURE GENERATED BY CENTRIFUGAL ACCELERATION WITH SEVERAL WATER CONTENT SCENARIOS
Slope stability is one of the most important factors in the surface mining operation. Slope stability analysis can be conducted using analytical method, numerical approach or physical modeling. A laboratory scale experimentation to study slope failure mechanism and consequence was performed by us...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/55621 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Slope stability is one of the most important factors in the surface mining operation.
Slope stability analysis can be conducted using analytical method, numerical
approach or physical modeling. A laboratory scale experimentation to study slope
failure mechanism and consequence was performed by using centrifuge which was
built in house by the Laboratory of Geomechanics & Mining Equipment of ITB.
The material used in this study is clayey silt with geometry of 15 cm height and
35° slope angle. Centrifugal acceleration with the maximum of 3.81g was applied to
the slope model with the variation of water content of 0%, 5%, 10% and 15%. By
spinning the centrifuge at the different level of acceleration and water contents, the
slope failure mechanism and collapsed slope model were investigated.
Generally, the applied centrifugal acceleration to initiate the slope failure gets
larger when the water content of the slope model increases. This phenomenon
indicates that the highest water content will result the highest cohesion. To measure
the consequence, four cameras were attached to capture the slope condition during the
test. Digital image correlation was used to digitize the pre-failure and post-failure
slope surface condition which can be overlaid to measure the volume of collapsed
slope model. In addition, general relationship between cohesion and centrifugal
acceleration in centrifuge modeling was calculated using dimensional analysis. |
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