Informatics Publishing Limited

Jinchun Xue ¹, Weifang Huang ², Jiefang Jin ¹

Affiliations
1 School of Software, Jiangxi University of Science and Technology, Jiangxi, Nangchan 330 013, CN
2 School of Mathematics and Computer Science, Yichun University, Yichun 336 000, CN

Abstract

Ranging from geological, hydrological to geographical conditions, the influencing factors of the stability of high-steep mining slope involve lots of unascertained information which is difficult to analyze and judge with simple methods. Based on engineering analogy, this paper analyzes the stability of high-steep mining slope by clustering and unascertained measuring method. The clustering center of the various influencing factors of the stability of high-steep mining slope was pinpointed through dynamic clustering, with a large number of historical data as training samples. After using the unascertained measure to evaluate the numerous unascertained information, the authors put forward a new method for stability analysis of high-steep slope mine. The results show that the proposed algorithm can predict the steady state of high-steep mining slope with a hit rate above 90%. All in all, this research sheds new light on rational and rapid analysis of high-steep slope stability.

Keywords

High-steep Mining Slope, Stability Analysis, Clustering, Unascertained Method.

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