Determining the size and shape of blocks from linear sampling for geotechnical rock mass classification and assessment

Smith, John Grieve

doi:10.1016/j.jsg.2003.11.019

Cited by 22 publications

(3 citation statements)

References 58 publications

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“…Instead, the satellite bodies may rep resent magma that infilled concentric fractures asso ciated with pullapart tectonics, i.e., a form of ring dikes ( Fig. 10; e.g., Mann et al, 1983;Smith, 2004).…”

Section: Tectonic Generation Of Spacementioning

confidence: 99%

Refined model of incremental emplacement based on structural evidence from the granodioritic Newry igneous complex, Northern Ireland

et al. 2017

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Section: Tectonic Generation Of Spacementioning

confidence: 99%

Refined model of incremental emplacement based on structural evidence from the granodioritic Newry igneous complex, Northern Ireland

et al. 2017

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“…It is generally recognized that joints play a pivotal role in the deformability, permeability and strength of rock masses (Goodman, 1976;Hudson and Harrison, 1997;Smith, 2004;Larsen et al, 2009;Yamaji and Sato, 2011;Ye et al, 2012a, b). Characterizing joints within a rock mass is a basic step for rock mass classification and rock engineering design (Kruhl, 2013;Stavropoulou, 2014).…”

Section: Introductionmentioning

confidence: 99%

Determination of structural domain boundaries in jointed rock masses: An example from the Songta dam site, China

Wang

Chen

et al. 2014

Journal of Structural Geology

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“…Lu [6] proposed a systemic identification algorithm that includes side detecting, loop tracing, and block identification, which serve as a pre-processor for block theory, discrete element method, and discontinuous deformation analysis. Smith [11] presented a new approach to measuring block sizes and shapes by collating dihedral angles versus spacing of sequential discontinuities in linear samples. Based on a network model of stochastic discontinuities, Chen et al [12] and Zhang and Wu [13,14] proposed methods for tracing stochastic rock blocks by treating all discontinuities as planar disks of limited size.…”

mentioning

confidence: 99%

Identifying rock blocks based on hierarchical rock-mass structure model

2009

Sci. China Ser. D-Earth Sci.

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Citation: XU N X. Identifying rock blocks based on hierarchical rock-mass structure model. Rock-masses are divided into many closed blocks by deterministic and stochastic discontinuities and engineering interfaces in complex rock-mass engineering. Determining the sizes, shapes, and adjacent relations of blocks is important for stability analysis of fractured rock masses. Here we propose an algorithm for identifying spatial blocks based on a hierarchical 3D Rock-mass Structure Model (RSM). First, a model is built composed of deterministic discontinuities, engineering interfaces, and the earth's surface, and the deterministic blocks surrounded by these interfaces are traced. Then, in each deterministic block, a network model of stochastic discontinuities is built and the stochastic blocks are traced. Building a unitary wire frame that connects all interfaces seamlessly is the key for our algorithm to identify the above two kinds of blocks. Using this algorithm, geometric models can be built for block theory, discrete element method, and discontinuous deformation analysis.rock-mass engineering, discontinuity, block identification, 3D Rock-mass Structure Model, network model of stochastic discontinuitiesIn a rock-mass, there are many discontinuities, including faults, weak interbeds, joints, and schistosities; these are different in scale, orientation, and properties. The mechanical characteristics and stability of a rock-mass are controlled by these discontinuities [1,2] . There are two classes of discontinuities: deterministic and stochastic. Generally, in rock-mass engineering, some discontinuities, such as faults, weak interbeds, and large joints, which are large in size and small in number and can be determined by outdoor survey and exploration, are classified into deterministic discontinuities. Other discontinuities, however, such as joints and schistosities, which are small in size and large in number and can rarely be determined by actual measurement, are classified as stochastic discontinuities. For convenience, in this paper, we refer to deterministic discontinuities, engineering interfaces, and the earth's surface as deterministic interfaces. Blocks surrounded by deterministic interfaces are called deterministic blocks, and blocks surrounded by stochastic discontinuities are called stochastic blocks.The rock mass is divided into blocks of different shapes and sizes by deterministic interfaces and stochastic discontinuities. Block instability may cause local instability of a rock-mass and even overall instability of rock-mass engineering. Block theory, discrete element method, and discontinuous deformation analysis are effective tools for stability analysis of fractured rock-mass engineering, and have already been widely used. Block identification is one way to determine the positions, sizes and shapes of rock blocks according to the spatial distribution of discontinuities. Goodman and Shi [3,4] and Warburton [5] developed block identification algorithms by assuming all discontinuities to be infinite planes...

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Determining the size and shape of blocks from linear sampling for geotechnical rock mass classification and assessment

Cited by 22 publications

References 58 publications

Refined model of incremental emplacement based on structural evidence from the granodioritic Newry igneous complex, Northern Ireland

Refined model of incremental emplacement based on structural evidence from the granodioritic Newry igneous complex, Northern Ireland

Determination of structural domain boundaries in jointed rock masses: An example from the Songta dam site, China

Identifying rock blocks based on hierarchical rock-mass structure model

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