›› 2010, Vol. 31 ›› Issue (S1): 293-297.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Study of rock slope stability based on clustering uncertained measurement complicated algorithm

XUE Jing-chun 1, 2,LI Xi-bing1,DONG Long-jun1   

  1. 1. School of Resources and Safety Engineering, Central South University, Changsha 410083, China; 2. School of Application Sciences, Jiangxi University of Science and Technology, Nanchang 330013, China
  • Received:2010-05-01 Online:2010-08-10 Published:2010-09-09

Abstract:

For the big disaster of landslide, it is important to study the stability of slopes. For the influence factors of rock slopes are numerous and their relationships are very complicated; it can not be solved by traditional methods; so generally based on engineering analogy, the clustering methods are used widely. For the complicated environment influence of slopes, this clustering is a complicated uncertained measurement optimization problem, and can not be solved by traditional methods very well. So, here the clustering uncertained measurement complicated algorithm has been introduced into slope engineering field for the first time. Based on this method, one new method for study stability of rock slope is proposed. Based on analyzing the data of slope examples, using clustering uncertained measurement complicated algorithm, the stability of rock slopes can be estimated. The engineering application can prove that, this new algorithm can automatically sort the slope samples, and the validity is more than 90%, so it is a very practical and new method for slope stability analysis.

Key words: rock slope, stability analysis, clustering, uncertained estimate

CLC Number: 

  • O 319.56
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