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| Graded analysis for slope stability assessment of large open-pit mines |
| DU Shigui1，YONG Rui1，CHEN Jiqian1，XIA Caichu1，LI Guoping2，LIU Wenlian3，LIU Yuming4，LIU Hao5 |
(1. Faculty of Civil Engineering，Shaoxing University，Shaoxing，Zhejiang 312000，China；2. Jiangxi Copper Company of Dexing Copper Mine，Dexing，Jiangxi 334200，China；3. Kunming Prospecting Design Institute of China Nonferrous Metals Industry，Kunming，Yunnan 650000，China；4. China Well Philippines Engineering Technology Co.，Ltd.，Beijing 100038，China；5. Kunming
Faculty of Land Resources Engineering，University of Science and Technology，Kunming，Yunnan 650000，China) |
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Abstract Large open-pit mine slopes were classified into the entire，composite-bench and single bench slopes according to their compositions and scales. The rock joints were then divided into three categories based on the joint size and the relationship with the slope at different levels：penetrating joints，non-penetrating joints and small-sized joints. The spatial locations and scales of rock joints have various influences on different types of mine slopes due to the controlling effect of rock mass structure. A graded analysis method for the stability assessment of open-pit mine slopes was suggested. The spatial locations of rock joints should match the corresponding part on the slope，and the rock joint scale should match the slope scale. According to the matching performance on the relative spatial locations and sizes，the stabilities of the entire slope，composite-bench slopes and all single bench slopes were systematically analyzed to find out the key joints and their combinations. The stabilities of the entire slope，the composite-bench slope and the single bench slope were analyzed from global and local aspects through the case study. The suggested method can give the necessary conditions for accurately evaluating the slope stabilities of large open-pit mines.
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MAO Yuting1, 2, HE Manchao1, 2, LIU Fangzhou3, BAI Xing4, YANG Xiaojie1, 2, TAO Zhigang1, 2*. Development and application of a large-scale physical model system for tunnel creep testing[J]. , 2026, 45(6): 1627-1638. |
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2017, Vol. 36 
