A Progressive Framework for Delineating Homogeneous Domains in Complicated Fractured Rock Masses: A Case Study from the Xulong Dam Site, China

Zhan, Jiewei; Pang, Yunming; Chen, Jianping; Cao, Chen; Song, Shengyuan; Zhou, Xin

doi:10.1007/s00603-019-01999-y

Cited by 16 publications

(3 citation statements)

References 70 publications

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“…The identification of structural domain boundaries mainly depends on the type of data. When structural domains are investigated along a borehole (Barnes et al 1998), a tunnel (Zhan et al 2020) or any other continuous rock exposure, the domain boundaries are relatively well defined. However, when domain boundaries are explored within a study site involving scattered fracture samples (Mahtab and Yegulalp 1984;Song et al 2015), the location of domain boundaries become complex.…”

Section: Structural Domain Boundariesmentioning

confidence: 99%

A cluster-based multiparametric similarity test for the compartmentalization of crystalline rocks into structural domains

Abi

Walter

Saeidi

et al. 2022

QJEGH

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Usually, fracture sampling studies comprise the collection of several fracture samples, which involve many fracture clusters. Grouping fracture samples into structural domains is generally useful for geologists, hydrogeologists, and geomechanicians as a region of fractured rocks is subdivided into sub-regions with similar behavior in terms of their hydromechanical properties. One of the common methods used for grouping fracture samples into structural domains considers the fracture orientation of clusters and ignores several fracture parameters, such as fracture spacing, aperture, and persistence, which are important for fluid circulation in the rock mass.In this study, we proposed a new cluster-based similarity method that considered the orientation of clusters as well as clusters’ aperture, persistence, and fracture spacing. Field investigations were conducted in the Grenville geological province of the Canadian Shield in the Lanaudière region, Quebec, Canada, where fractures were sampled from 30 outcrops and four boreholes. The proposed method is more suitable than other methods, and has applications in hydrogeology, rock mechanics, and especially in studies of fluid circulation in the rock mass. In addition, a method for the compartmentalization of a given study area into structural domains by means of Voronoi diagrams was also proposed.

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Section: Structural Domain Boundariesmentioning

confidence: 99%

A cluster-based multiparametric similarity test for the compartmentalization of crystalline rocks into structural domains

Abi

Walter

Saeidi

et al. 2022

QJEGH

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“…The widely distributed discontinuous structural planes in rock masses cause the rock masses to have strong discontinuity, heterogeneity and anisotropy [1,2]. The randomness and uncertainty of rock discontinuities will affect their deformation, strength, permeability, stress-strain behavior and failure mode [3,4]. The discontinuities of rock masses in natural states have the characteristics of grouping.…”

Section: Introductionmentioning

confidence: 99%

Dominant Partitioning of Discontinuities of Rock Masses Based on DBSCAN Algorithm

et al. 2023

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In the analysis of rock slope stability and rock mass hydraulics, the dominant partitioning of discontinuities of rock masses is a very important concept, and it is still a key for establishing the three-dimensional (3-D) network model of random discontinuities. The traditional graphical analysis method is inadequate and greatly influenced by subjective experience. A new method using density-based spatial clustering of applications with noise (DBSCAN) algorithm is proposed for the dominant partitioning of discontinuities of rock mass. In the proposed method, we do not need to determine the centers of every cluster before clustering, and the acnodes or outliers can be eliminated effectively after clustering. Firstly, the spatial coordinate transformation of the discontinuity occurrence is carried out and the objective function is established by using the sine value of the angle of the unit normal vector as the similarity measure standard. The DBSCAN algorithm is used to establish the optimal clustering centers by searching the global optimal solution of the objective function, and the fuzzy C-means clustering algorithm is optimized and the mathematical model of the advantage grouping of rock discontinuities is established. The new method and the fuzzy C-means method are compared and verified by using the artificially randomly generated discontinuity occurrence data. The proposed method is a better method than the fuzzy C-means method in general cases, and it can provide more accurate results by eliminating the acnodes or outliers. Finally, the proposed method is applied to discontinuity orientation partition data at Maji dam site, Nujiang River, and there is good agreement with the in situ measurement.

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“…Many major projects involve jointed rock slopes, and the development of these projects usually faces great challenges, such as rock slope stability analysis and excavation (Hoek and Bray 1981;Um and Kulatilake 2001;Liu et al 2017;Zhan et al 2019). Failure angle is an important design parameter to deal with the aforementioned challenges of discontinuity-controlled 1 3 rock slopes.…”

Section: Introductionmentioning

confidence: 99%

Kinematic-based failure angle analysis for discontinuity-controlled rock slope instabilities: a case study of Ren Yi Peak Cluster in Fusong County, China

Yan

Chen²,

Li³

et al. 2021

Nat Hazards

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Failure angle, also called maximum safe slope angle, is an important design parameter for rock slope stability analysis and slope excavation. This study aims to scientifically acquire the failure angle of the jointed rock slope, and a method incorporating the kinematic analysis, Bayesian estimation and Monte Carlo simulation is proposed. The probabilistic kinematic analysis could consider the variety of discontinuity properties. The Bayesian estimation and Monte Carlo simulation could consider the varieties and uncertainties of the failure angle data. The proposed method is applied to a discontinuity-controlled rock slope located in the Fusong County, Jilin Province, China. Numerous widely scattered failure angle data is firstly obtained using the probabilistic kinematic analysis. Then the Bayesian estimation and Monte Carlo simulation are applied to determine the failure angle scientifically. The suggested failure angle of west, middle and east section of the studied slope are 65.67°, 65.79° and 64.76°, respectively. The probabilities of kinematic instabilities are also obtained based on the failure angle data. In general, the studied slope is stable and suitable to develop projects.

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A Progressive Framework for Delineating Homogeneous Domains in Complicated Fractured Rock Masses: A Case Study from the Xulong Dam Site, China

Cited by 16 publications

References 70 publications

A cluster-based multiparametric similarity test for the compartmentalization of crystalline rocks into structural domains

A cluster-based multiparametric similarity test for the compartmentalization of crystalline rocks into structural domains

Dominant Partitioning of Discontinuities of Rock Masses Based on DBSCAN Algorithm

Kinematic-based failure angle analysis for discontinuity-controlled rock slope instabilities: a case study of Ren Yi Peak Cluster in Fusong County, China

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