›› 2009, Vol. 30 ›› Issue (11): 3476-3480.

• Numerical Analysis • Previous Articles     Next Articles

Analysis of stability of rock slope based on ant colony clustering algorithm

GAO Wei   

  1. State Key Laboratory of Geomechanics and Geotechinical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
  • Received:2009-02-10 Online:2009-11-10 Published:2010-01-07

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Abstract:

For the influential factors of rock slopes are numerous and their relationship is 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 rock slopes, this clustering problem is a complicated fuzzy and random optimization problem; and it can not be solved by traditional methods very well. So, here a new bionics clustering optimization method, ant colony clustering algorithm, which is proposed recently, has been introduced into rock slope engineering field for the first time. Based on this new bionics clustering method, a new method for study stability of rock slope is proposed. Based on analyzing the data of rock slope samples, from the engineering analogy thinking by ant colony clustering algorithm, the stability of rock slopes can be estimated. The engineering application can prove that: this new algorithm can automatically sort the rock slope samples; and the validity is very high; the computing velocity is very rapid; so it is a very practical method for rock slope stability analysis; and it should be popularized.

Key words: rock slope, stability analysis, clustering, ant colony clustering algorithm

CLC Number: 

  • O 319.56
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