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Gold Science and Technology ›› 2017, Vol. 25 ›› Issue (4): 46-51.doi: 10.11872/j.issn.1005-2518.2017.04.046

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Dominant Grouping of Rock Mass Structural Space Orientation Based on Spectral Clustering Algorithm 

HE Shunbin1，LIU Jie2   

  1. 1.Sanshandao Gold Mine，Shandong Gold Mining （Laizhou） Co.，Ltd.，Laizhou   261442，Shandong，China；
    2.School of Resources and Civil Engineering，Northeastern University，Shenyang   110819，Liaoning，China
  • Received:2017-04-21 Revised:2017-07-15 Online:2017-08-30 Published:2017-10-30

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Abstract:

The identification of rock discontinuity sets is the foundation of stability analysis of rock masses in engineering practices.Therefore，a spectral clustering algorithm was used in this paper to classify the discontinuity data sets based on discontinuity orientations.Compared with the K-means clustering algorithm widely used at present，this algorithm can converge to the global optimum.The square value of the sine of acute angle between normal unit vectors of structural planes was selected as similarity criterion and then the spectral method was used to group discontinuity data.Meanwhile，the Silhouette index was introduced to evaluate the clustering validity to determine the optimal clustering number.The test of artificial discontinuity data shows that the method is reliable. Finally，the algorithm was applied to group the discontinuity data in Sanshandao gold mine.The results show that the algorithm can achieve ideal classification results，which provides reliable data base for further analysis of rock mass stability.

Key words:  rockmass structural plane, cluster analysis, spectral clustering method, dominant orientation

CLC Number: 

  • TD163+2

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