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Paper Information

Journal:   SHARIF: CIVIL ENINEERING   JUNE-JULY 2008 , Volume 24 , Number 42; Page(s) 21 To 25.
 
Paper: 

DISCONTINUITY CLUSTERING IN ROCK MASSES WITH THE APPLICATION OF KOHONEN NEURAL NETWORK UNDER THE FRAMEWORK OF PROBABILITIES

 
 
Author(s):  AFLAKI E., HASHEMI SIAMAK
 
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Abstract: 

Distinct clustering of discontinuities is very useful for analyses and the design of the foundation of structures or rock masses. A traditional method is contouring a number of significant pole densities plotted on the stereonet. The use of different techniques for contouring a poles plot generates different results. Therefore, in this paper, artificial intelligence methods, with the application of probabilities, are used to cluster the discontinuities. One of the advantages of this method is to determine the accurate number of discontinuity clusters, the belonging of each discontinuity to a specific cluster and its dependence on the distribution of data.

 
Keyword(s): DISCONTINUITY, NEURAL NETWORK, CONTOURING, STEREOGRAPHIC
 
References: 
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