Scale and Rock Type Dependency of Mórágy Granite Formation in the Aspect of Fracture Density

The geometry of rock mass fractures is typically characterized through geological and geotechnical investigations. Detailed descriptions of granitic host rock can yield valuable data for constructing fracture network models. However, significant discrepancies often arise between data representing the mechanical and hydraulic properties of rocks. At the study site, fracture geometry data were gathered through surface and underground surveying, borehole logging, and underground mapping. Three-dimensional photogrammetry was utilized alongside traditional rock mass classification methods (Q-system, RMR, GSI) to derive key parameters of fracture networks, such as orientation, size, and intensity. This study focuses on Rock Quality Designation (RQD), a measure of fracture density derived from tunnel face mapping. Findings indicate that variations in fracture frequency are significantly affected by how fracture sets are defined and by the orientation distribution of fractures. Furthermore, using the D parameter (the 2D fractal dimension of fracture frequency) as a validation measure for RQD may lead to misleading interpretations if it aggregates fracture sets on the tunnel scale.

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Publication Details

Journal
Geotechnics
Published
2025-05-29
DOI
https://doi.org/10.3390/geotechnics5020034
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

Scale and Rock Type Dependency of Mórágy Granite Formation in the Aspect of Fracture Density

Gábor Somodi, Balázs Vásárhelyi
Geotechnics
Rock Mechanics and Modeling
article

Scale and Rock Type Dependency of Mórágy Granite Formation in the Aspect of Fracture Density

Gábor Somodi, Balázs Vásárhelyi
article en

Abstract

The geometry of rock mass fractures is typically characterized through geological and geotechnical investigations. Detailed descriptions of granitic host rock can yield valuable data for constructing fracture network models. However, significant discrepancies often arise between data representing the mechanical and hydraulic properties of rocks. At the study site, fracture geometry data were gathered through surface and underground surveying, borehole logging, and underground mapping. Three-dimensional photogrammetry was utilized alongside traditional rock mass classification methods (Q-system, RMR, GSI) to derive key parameters of fracture networks, such as orientation, size, and intensity. This study focuses on Rock Quality Designation (RQD), a measure of fracture density derived from tunnel face mapping. Findings indicate that variations in fracture frequency are significantly affected by how fracture sets are defined and by the orientation distribution of fractures. Furthermore, using the D parameter (the 2D fractal dimension of fracture frequency) as a validation measure for RQD may lead to misleading interpretations if it aggregates fracture sets on the tunnel scale.

GeotechnicsVol. 5(2)
Budapest University of Technology and Economics (HU)
Budapesti Műszaki és Gazdaságtudományi Egyetem
Openalex Percentile: Top 87%
Rock Mechanics and Modeling
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