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Failure Prediction for Weak Rock Slopes in a Large Open-pit Mine by GPS Measurements and Assessment of Landslide Susceptibility  

SunWoo, Choon (Geologic Environment Div., Korea Institute of Geoscience and Mineral Resources)
Jung, Yong-Bok (Geologic Environment Div., Korea Institute of Geoscience and Mineral Resources)
Choi, Yo-Soon (Department of Energy Resources Engineering, Seoul National University)
Park, Hyeong-Dong (Department of Energy Resources Engineering, Seoul National University)
Publication Information
The Journal of Engineering Geology / v.20, no.3, 2010 , pp. 243-255 More about this Journal
Abstract
The slope design of an open-pit mine must consider economical efficiency and stability. Thus, the overall slope angle is the principal factor because of limited support or reinforcement options available in such a setting. In this study, slope displacement, as monitored by a GPS system, was analyzed for a coal mine at Pasir, Indonesia. Predictions of failure time by inverse velocity analysis showed good agreement with field observations. Therefore, the failure time of an unstable slope can be roughly estimated prior to failure. A GIS model that combines fuzzy theory and the analytical hierarchy process (AHP) was developed to assess slope instability in open-pit coal mines. This model simultaneously considers seven factors that influence the instability of open-pit slopes (i.e., overall slope gradient, slope height, surface flows, excavation plan, tension cracks, faults, and water body). Application of the proposed method to an open-pit coal mine revealed an enhanced prediction accuracy of failure time and failure site compared with existing methods.
Keywords
Large open-pit mine; weak rock slope; inverse velocity; failure prediction; GIS; Fuzzy theory; AHP;
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Times Cited By KSCI : 4  (Citation Analysis)
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