Automatic Statistic of Rock Mass Discontinuity Attitude Elements Based on K-Mean Clustering Analysis

Jun Liang; Jun Hua Zhao; Xian Quan Han; Bo Li

doi:10.4028/www.scientific.net/AMM.170-173.348

Paper Titles

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The Design and Construction of the Lime Soil Cushion in Loess Regions
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Experiment on Different Length/Diameter Ratio Charge Explosive Strain Wave Propagation in Rock
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Study on Deformation Parameters in Dynamic Compaction Desert Foundation
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 170-173Automatic Statistic of Rock Mass Discontinuity...

Automatic Statistic of Rock Mass Discontinuity Attitude Elements Based on K-Mean Clustering Analysis

Abstract:

The rock attitude elements play important role in the fields of both mechanical properties and stability analysis. The traditional statistical graphs such as rose diagram, isopycnic graph and angle histogram are displayed which can roughly estimate the dip direction and angle of rock mass. And k-mean clustering analysis is applied to rock mass discontinuity attitude automatic statistic which can determine the the dip direction of rock mass accurately and estimate the proportion of gathered data. The K-mean clustering analysis is a beneficial supplement of traditional statistical methods, which has a prospect of engineering application.

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Periodical:

Applied Mechanics and Materials (Volumes 170-173)

Pages:

348-351

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.170-173.348

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Online since:

May 2012

Authors:

Jun Liang, Jun Hua Zhao, Xian Quan Han, Bo Li

Keywords:

K-Means Clustering, Rock Attitude, Rock Mass Discontinuity

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