Rock mass structural plane dominant occurrence clustering analysis method based on netting algorithm

Abstract

The invention discloses a rock mass structural plane dominant occurrence clustering analysis method based on a netting algorithm. The method comprises the following steps: (1) selecting an engineeringrock slope needing to be analyzed in the field; (2) carrying out polar coordinate transformation on the occurrence of the structural plane and projecting the occurrence into a spherical space; (3) calculating the similarity degree rij between occurrence samples by adopting the square of the sine value of the acute angle between the unit normal vectors of the structural plane, and constructing a fuzzy similarity matrix R of the occurrence of the structural plane; (4) transforming the fuzzy similarity matrix R of the structural plane occurrence; (5) constructing a lambda section matrix Rlambdaof the occurrence of the structural plane for the transformed fuzzy similar matrix R; (6) transforming the section matrix Rlambda of the occurrence of the structural plane; (7) clustering and groupingof structural plane occurrence of the transformed section matrix Rlambda; and (8) calculating effectiveness evaluation indexes under different grouping numbers according to a clustering result of thestructural plane occurrence, and determining an optimal grouping number in combination with engineering practice to obtain the structural plane dominant occurrence. According to the invention, the grouping result is more reasonable, and the dominant occurrence accords with objective reality more.

Description

technical field [0001] The invention belongs to the field of engineering technology, and relates to a cluster analysis method for grouping advantages of rock mass structural planes by applying a netting algorithm. In particular, the present invention starts from the complexity and randomness of structural plane distribution and combines the netting algorithm to quickly , Effectively eliminate the "noise" of structural planes, and propose a cluster analysis method based on the network algorithm to determine the dominant occurrence of rock mass structural planes. Background technique [0002] The rock mass forms structural planes through long geological structures and complex geological processes. The distribution of structural planes is complex and random. Accurate identification of structural plane groups and the determination of the dominant occurrence of structural planes are the basis for rock mass engineering stability evaluation . A large number of studies have shown t...

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Problems solved by technology

[0005] In 2013, Xu et al. proposed a multi-parameter advantage grouping method for rock mass discontinuities based on a variable-scale chaotic optimization algorithm, but the chaotic optimization algorithm has the disadvantages of blind repetition, low search efficiency, and long calculation time.

[0008] However, the above research often requires a lot of computing work and takes a lot of time, and the iteration condition is to cluster and group all data points, which has the disadvantage of being unable to eliminate "noise points", which will affect the clustering process and clustering results. Deviation of the dominant occurrence of the structural plane

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