Numerical Study on Anisotropy of the Representative Elementary Volume of Strength and Deformability of Jointed Rock Masses

Liang, Zheng Zhao; Wu, Na; Li, Yingchun; Li, Hong; Li, Wanrun

doi:10.1007/s00603-019-01859-9

Cited by 37 publications

(15 citation statements)

References 52 publications

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“…Scholars have obtained the characteristic size of rocks based on field data, theoretical models, and probability statistics. Chong et al [ 16 ] studied the SE of jointed rock masses and estimated the REV size of the rock mass to be 10 m × 10 m. Liang et al [ 17 ] studied the SE of the uniaxial compressive strength (UCS) of rock mass based on the Monte Carlo method and obtained a characteristic size of 14 m × 14 m. Scholars have also analyzed theoretically the factors that affect the characteristic size. For example, Niazmand et al [ 18 ] studied the influence of different constraints on the REV based on the discrete-fracture-network–discrete-element method, and Chen et al [ 19 ] studied the influence of rock mass ( B z ) on the REV of rock.…”

Section: Introductionmentioning

confidence: 99%

Size effect of parallel-joint spacing on uniaxial compressive strength of rock

2021

PLoS ONE

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The existence of parallel joints has an impact on the size effect of the uniaxial compressive strength of rock, but the relationship is yet to be obtained. In this paper, the influence of parallel-joint spacing on the size effect and characteristic size of rock uniaxial compressive strength is studied by establishing five types of parallel-joint-spacing simulation schemes. The influence of parallel-joint spacing on the size effect of rock uniaxial compressive strength is explored by analyzing the stress–strain curves of rocks with different parallel-joint spacings and rock sizes. The relationship between the uniaxial compressive strength and the size of the rock with parallel joints and its special mathematical model are obtained, and the particular form of the compressive-strength characteristic size and parallel-joint spacing is obtained.

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Section: Introductionmentioning

confidence: 99%

Size effect of parallel-joint spacing on uniaxial compressive strength of rock

2021

PLoS ONE

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“…Sampling Methods [25,26]. For example, the left bottom or the center is utilized as the starting point to gradually expand (Figure 1).…”

Section: Compare and Analyze Differentmentioning

confidence: 99%

“…Regarding the study on the size effect law, it is required that large-size samples include small-size samples to acquire the correct size effect law. However, current research has been mainly based on a single sample and a random sample [18,[25][26][27]. The obtained size effect laws differ and show that the sample value increases (positive size effect), decreases (negative size effect), and remains constant (no size effect), among other results, as a function of the sampling size.…”

Section: Introductionmentioning

confidence: 99%

Representative Sample Sampling Method for Size Effect Experiment of Jointed Rock Mass

et al. 2020

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The influence of size effect on the hydromechanical behavior of rock mass has long been recognized. As a result, analysis of the rock mass size effect has been developed. However, when conducting size effect studies, the representativeness of the sample is less considered. Therefore, combining the existing statistical methods and sampling methods, a comprehensive representative sampling method for rock mass is present. In this method, a large number of sample statistics of different sizes are provided in the progressive coverage method; then, the plane density of the track length is defined as the value of stratification to perform stratified sampling for representative samples. Furthermore, it is applied to a joint network model generated in accordance with the actual situation and compared with those of other methods. The sampling results show that the proposed method can provide a certain reference value for studying the scale-dependent behavior of rock mass mechanical parameters.

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“…In situ testing can be conducted on a jointed rock mass to determine the RVE size (Pinto and Da 1993), but costs and operational difficulty limit the development of this testing. Although numerical simulations are cheap and widely applied in RVE estimations of 1‐ to 3‐D space (Kulatilake 1985; Ning et al 2008; Esmaieli et al 2010), it is difficult to determine the RVE using numerical simulations due to discontinuous effects (Zhang et al 2013). A mathematical method was proposed to determine the 1D RVE using the variation in RQD and fracture frequency along a scanline (Zhang et al 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, in terms of the size effect, the representative volume element (RVE) is very important for evaluating the mechanical properties of rock mass (Karzulovic and Goodman 1985). In the past several decades, numerous efforts have been made to study RVEs and their use in determining the mechanical properties of rock masses (Karzulovic and Goodman 1985; Kulatilake 1985; Pinto and Da 1993; Ning et al 2008; Esmaieli et al 2010; Zhang et al 2013). In situ testing can be conducted on a jointed rock mass to determine the RVE size (Pinto and Da 1993), but costs and operational difficulty limit the development of this testing.…”

Section: Introductionmentioning

confidence: 99%

Initial Assessment on Hydraulic Conductivity of Rock Mass and its Size Effect Using Drilling Data

2022

Groundwater

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Predicting hydraulic conductivity and characterizing its size effect in jointed rock masses is fundamental to various geoscience and engineering disciplines. A new empirical method, using drilling data, is established to predict the hydraulic conductivity of a rock mass in the scanline direction. The effect of the scanline unit length on the distribution characteristics of hydraulic conductivity for boreholes in jointed rock masses is studied. In addition, the scanline length of boreholes was used to study the size effect of hydraulic conductivity of jointed rock masses, and a new model was proposed to determine the size effect of hydraulic conductivity. A mathematical method for representative volume element (RVE) determination was proposed based on the proposed size effect model of hydraulic conductivity. Some packer tests were conducted to validate the developed method for predicting hydraulic conductivity. The results show that (a) the predicted hydraulic conductivities are close to those determined from the packer tests; (b) the scanline unit lengths influence the distribution characteristics of hydraulic conductivity; (c) a large but fluctuating increase in hydraulic conductivity with increasing scanline length, and the fluctuation decreases with fewer fractures and joints; (d) the mathematical method for predicting RVE and KRVE is effective to make an initial evaluation on jointed rock masses with high fracture frequency.

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Numerical Study on Anisotropy of the Representative Elementary Volume of Strength and Deformability of Jointed Rock Masses

Cited by 37 publications

References 52 publications

Size effect of parallel-joint spacing on uniaxial compressive strength of rock

Size effect of parallel-joint spacing on uniaxial compressive strength of rock

Representative Sample Sampling Method for Size Effect Experiment of Jointed Rock Mass

Initial Assessment on Hydraulic Conductivity of Rock Mass and its Size Effect Using Drilling Data

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