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Stability classification of rock slopes along a highway in Mentougou, Beijing |
GUO Songfeng1, QI Shengwen1, LI Xingxing1, ZOU Yu1, LIAO Haijun2, ZHANG Shishu3 |
1. Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; 2. Beijing Institute of Geology, Beijing 100120, China; 3. Power China Chengdu Engineering Corporation Limited, Chengdu 610072, China |
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Abstract The rock slopes, along a highway in Mentougou, Beijing, have characteristics as follows: huge amounts of 113, complicated influencing factors, large difficulty to gain mechanical parameters of all slopes, so it is hard to investigate the mechanical properties for large member of slopes. Analytic multilayer process and fuzzy comprehensive evaluation are used to classify the slope stability in this paper. Two-layer and four primary influencing factors including nine secondary influencing factors are chosen to evaluate the slope stability according to the influencing factors of slope stability. Firstly, the stability classification is divided into 4 grades: stable, basically stable, less unstable, and unstable. Secondly, membership matrix and weight matrix are constructed. Lastly, stability of every slope is classified by the fuzzy comprehensive evaluation. The results indicate that the number of unstable slopes is 3, 3% of all slopes; the number of less unstable slopes is 27, 24% of all slopes; the number of basically stable slopes is 52, 46% of all slopes; the number of stable slopes is 31, 27% of all slopes. If the number of slopes is huge, boundary conditions are not clear and influencing factors are complicated, fuzzy comprehensive evaluation is an eligible method. It should be noted that the validity of the maximum subordination principle should be evaluated based on the effect of every factors on slope stability in case the evaluation fails.
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Received: 10 March 2016
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