Characterization of Hoek–Brown constant mi of quasi-isotropic intact rock using rigidity index approach
Autor: | Balázs Vásárhelyi, Ákos Török, Seyed Morteza Davarpanah, Mohammad Sharghi |
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Rok vydání: | 2021 |
Předmět: |
Metamorphic rock
0211 other engineering and technologies Mineralogy Rigidity (psychology) 02 engineering and technology 010502 geochemistry & geophysics Geotechnical Engineering and Engineering Geology 01 natural sciences Igneous rock Compressive strength Brittleness Ultimate tensile strength Earth and Planetary Sciences (miscellaneous) Sedimentary rock Constant (mathematics) 021101 geological & geomatics engineering 0105 earth and related environmental sciences Mathematics |
Zdroj: | Acta Geotechnica. 17:877-902 |
ISSN: | 1861-1133 1861-1125 |
DOI: | 10.1007/s11440-021-01229-2 |
Popis: | An accurate determination of Hoek–Brown constant mi is of great significance in the estimation of the failure criteria of brittle rock materials. So far, different approaches such as rigidity index method (R-index), uniaxial compressive strength-based method, and tensile strength-based method, and the combination of these two methods (combination based method) have been proposed to calculate the value of mi. This paper aims to thoroughly review the previously existing methods to calculate the value of mi and make comparison between the obtain results to propose the new material constants that provide the best fit with the experimental data. In order to fulfill this goal, a large number of data for different quasi-isotropic intact rock types from the literature were collected and statistically analyzed. Additionally, based on rock types, new material constants are introduced for igneous, sedimentary, and metamorphic rocks. The obtained results proves that for different rock groups (igneous, sedimentary, and metamorphic rocks), R-index method provides the best fit with the experimental data among the others, and it is also independent of rock type. Interestingly enough, there is significant differences in the predicted mi values using different methods, which is more probably due to the quantity and quality of data used in the statistical analysis. |
Databáze: | OpenAIRE |
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