Evaluation of strength anisotropy and failure modes of laminated sandstones

Khanlari, Gholamreza; Rafiei, Behrouz; Abdilor, Yasin

doi:10.1007/s12517-014-1411-1

Cited by 70 publications

(30 citation statements)

References 33 publications

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“…This layout ensures that the coring through the roof rocks covers the whole 6.1 m width of Roadway B-7. Worldwide research shows (Tien and Kuo 2001;Tavallali and Vervoort 2010;Khanlari et al 2014;Yao et al 2019) that coring at a small inclination to the normal direction of rock beds-up to 10°-13°-should not have an effect on the mechanical parameters of samples and can be neglected. Three different rock types were identified through geological logging: claystone, mudstone and fine-grained sandstone (Fig.…”

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confidence: 99%

A statistical analysis of geomechanical data and its effect on rock mass numerical modeling: a case study

Małkowski

Niedbalski

Balarabe³

2020

Int J Coal Sci Technol

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Geomechanical data are never sufficient in quantity or adequately precise and accurate for design purposes in mining and civil engineering. The objective of this paper is to show the variability of rock properties at the sampled point in the roadway’s roof, and then, how the statistical processing of the available geomechanical data can affect the results of numerical modelling of the roadway’s stability. Four cases were applied in the numerical analysis, using average values (the most common in geomechanical data analysis), average minus standard deviation, median, and average value minus statistical error. The study show that different approach to the same geomechanical data set can change the modelling results considerably. The case shows that average minus standard deviation is the most conservative and least risky. It gives the displacements and yielded elements zone in four times broader range comparing to the average values scenario, which is the least conservative option. The two other cases need to be studied further. The results obtained from them are placed between most favorable and most adverse values. Taking the average values corrected by statistical error for the numerical analysis seems to be the best solution. Moreover, the confidence level can be adjusted depending on the object importance and the assumed risk level.

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confidence: 99%

A statistical analysis of geomechanical data and its effect on rock mass numerical modeling: a case study

Małkowski

Niedbalski

Balarabe³

2020

Int J Coal Sci Technol

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“…In this study, β is defined as the angle between the normal of weak layers and the maximum principal stress direction. The UCS of 26 anisotropic rocks is collected which belongs to six different rock types: phyllite [24,25], schist [2,[26][27][28], shale [3,4,[27][28][29], slate [5,30], sandstone [31], and limestone [28]. In Table II, the first column lists the UCS when β = 0°, the second column lists the minimum UCS which might be obtained when β is between 30°and 60°, and the third column lists the UCS when β = 90°.…”

Section: Overview Of Experimental Resultsmentioning

confidence: 99%

“…The UCS of 26 anisotropic rocks is collected which belongs to six different rock types: phyllite , schist , shale , slate , sandstone , and limestone . In Table , the first column lists the UCS when β = 0°, the second column lists the minimum UCS which might be obtained when β is between 30° and 60°, and the third column lists the UCS when β = 90°.…”

Section: Overview Of Experimental Resultsmentioning

confidence: 99%

Discrete element method modeling of inherently anisotropic rocks under uniaxial compression loading

Kang

Kwok

Pierce

2015

Num Anal Meth Geomechanics

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SUMMARYA new numerical approach is proposed in this study to model the mechanical behaviors of inherently anisotropic rocks in which the rock matrix is represented as bonded particle model, and the intrinsic anisotropy is imposed by replacing any parallel bonds dipping within a certain angle range with smooth-joint contacts. A series of numerical models with β = 0°, 15°, 30°, 45°, 60°, 75°, and 90°are constructed and tested (β is defined as the angle between the normal of weak layers and the maximum principal stress direction). The effect of smooth-joint parameters on the uniaxial compression strength and Young's modulus is investigated systematically. The simulation results reveal that the normal strength of smooth-joint mainly affects the behaviors at high anisotropy angles (β > 45°), while the shear strength plays an important role at medium anisotropy angles (30°-75°). The normal stiffness controls the mechanical behaviors at low anisotropy angles. The angle range of parallel bonds being replaced plays an important role on defining the degree of anisotropy.Step-by-step procedures for the calibration of micro parameters are recommended. The numerical model is calibrated to reproduce the behaviors of different anisotropic rocks. Detailed analyses are conducted to investigate the brittle failure process by looking at stress-strain behaviors, increment of micro cracks, initiation and propagation of fractures. Most of these responses agree well with previous experimental findings and can provide new insights into the micro mechanisms related to the anisotropic deformation and failure behaviors. The numerical approach is then applied to simulate the stress-induced borehole breakouts in anisotropic rock formations at reduced scale. The effect of rock anisotropy and stress anisotropy can be captured.

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“…It is an indirect method for stretched behavior of brittle material like concrete [18] and rock. The splitting tensile strength depending on the Brazilian test [19].…”

Section: Brazilian Testmentioning

confidence: 99%

PETROGRAPHIC, PHYSICAL AND MECHANICAL PROPERTIES OF SANDSTONE OF MIRPUR DISTRICT AREA STATE OF AJ&K, PAKISTAN

Naseer¹,

Ahmad²,

Hussain³

2019

Earth sci. Malays.

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Evaluation of strength anisotropy and failure modes of laminated sandstones

Cited by 70 publications

References 33 publications

A statistical analysis of geomechanical data and its effect on rock mass numerical modeling: a case study

A statistical analysis of geomechanical data and its effect on rock mass numerical modeling: a case study

Discrete element method modeling of inherently anisotropic rocks under uniaxial compression loading

PETROGRAPHIC, PHYSICAL AND MECHANICAL PROPERTIES OF SANDSTONE OF MIRPUR DISTRICT AREA STATE OF AJ&K, PAKISTAN

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