›› 2013, Vol. 34 ›› Issue (1): 189-195.

• Geotechnical Engineering • Previous Articles     Next Articles

Study of method for multivariate parameter dominant partitioning of discontinuities of rock mass

XU Li-ming，CHEN Jian-ping，WANG Qing   

  1. College of Construction Engineering, Jilin University, Changchun 130026, China
  • Received:2011-09-12 Online:2013-01-10 Published:2013-01-10

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Abstract: The analysis of discontinuities occurrence in rock mass is an important fundamental work for mechanical and hydraulic behaviors analysis of rock mass. Discontinuities with the same occurrence and different other properties have different mechanical and hydraulic behaviors. Therefore, there are defects in conventional method, due to that they partition discontinuities only according to their occurrence. A new method based on mutative scale chaos optimization algorithm is proposed for partitioning multivariate data for charactering discontinuities. The objective function is established based on the similarity measure between discontinuities; then, mutative scale chaos optimization algorithm is used to search the optimum solution. This new method can simultaneously divide discontinuities into several groups according to their multivariate properties. The accuracy of the new method is proved by artificial data. Finally, this method is applied to grouping of field discontinuity data with five properties; and reliable cluster results are obtained.

Key words: rock mechanics, discontinuities, data partitioning, chaos optimization

CLC Number: 

  • TU 452
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