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Quantitative Evaluation and Classification Method of the Cataclastic Texture Rock Mass Based on the Structural Plane Network Simulation

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Abstract

The structural plane of a rock mass is the indispensable premise for studying and understanding cataclastic texture rock masses, and it is the main reason for the intense heterogeneity of cataclastic structural rock masses. The plane is also the key to classifying the characteristics of cataclastic texture rock masses and quantifying the degree of fragmentation. In this paper, through a thorough investigation of structural plane characteristics, a statistical analysis of the geometric characteristics of structural planes, a network simulation and an analysis of structural planes, a quantitative description index and a quantitative evaluation index are proposed and analyzed from the “point-pine-plane” perspective. A quantitative description index for trace line node density, trace line segment length and crack surface polygon area are proposed based on the structural characteristics of cataclastic texture rock masses. To evaluate fragmentation degree, a trace line node index, a trace line segment length index and a crack surface polygon index are proposed as quantitative evaluation indices. Results show that the relevant indices can effectively identify the structural characteristics and fragmentation degree of cataclastic rock masses. According to the “classification of rock mass from the structural characteristics and fragment degree” approach, a cataclastic texture rock mass classification method is proposed. Taking the example of the cataclastic texture rock mass in the Daguangbao landslide, the quantitative evaluation index and the cataclastic texture rock mass classification method are applied to effectively solve the problem of quantitative evaluation and classify the cataclastic texture rock.

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Abbreviations

λ0 :

Structure plane density

λ:

Simulation structure plane density

l0 :

Structure plane radius

l:

Simulation structure plane radius

TLND:

Trace line node density

N0 :

The number of nodes

S:

The area of the trace line plane

TLNI:

Trace line nodes index

NL :

Number of trace lines

TLSL:

Trace line segment length

ln :

Line segment length of the nth line segment

Li :

Core length of the ith section

L:

Total length of the core

TLSI:

Trace line segment index

CSPA:

Crack surface polygons area

Pi :

Pixel area of the ith crack surface polygon

P:

Total pixel area

Ri :

Actual area of the ith crack surface polygon area cut and confined by the structure surface

R:

Actual total crack surface area, and pi is the plane crack area scale

Mk :

Block modulus of the rock mass

Ak :

Coefficient of the fissure properties

Jcm :

Block coefficient of rock masses

RBI:

Block index of rock masses

Cr10 :

Acquired rates of core lengths ranging from 10 to 20 cm

Cr20 :

Acquired rates of core lengths ranging from 20 to 60 cm

Cr60 :

Acquired rates of core lengths greater than 60 cm

CSPI:

Crack surface polygons index

R2 :

Ratio of the crack surface polygon area from 2 to 6 cm2 to the structure plane

R6 :

Ratio of the plane crack area from 6 to 12 cm2 to the structure plane

R12 :

Ratio of the crack surface polygon area from 12 to 24 cm2 to the structure plane

R24 :

Ratio of the crack surface polygon area from 24 to 48 cm2 to the structure plane

R48 :

Ratio of the crack surface polygon area from 48 to 60 cm2 to the structure plane

R60 :

Ratio of the crack surface polygon area greater than or equal to 60 cm2 to the structure plane

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Acknowledgements

The project is supported by The Sichuan Provincial Youth Science and Technology Innovation Team Special Projects of China (Grant No. 2017TD0018) and The Team Project of Independent Research of SKLGP (Grant No. SKLGP2016Z001).

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  1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology), Chengdu, China

    Shan Dong, Xiaoyu Yi & Wenkai Feng

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  1. Shan Dong
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Correspondence to Wenkai Feng.

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Dong, S., Yi, X. & Feng, W. Quantitative Evaluation and Classification Method of the Cataclastic Texture Rock Mass Based on the Structural Plane Network Simulation. Rock Mech Rock Eng 52, 1767–1780 (2019). https://doi.org/10.1007/s00603-018-1635-6

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