Probability Density Function of Rock Mass Discontinuity Distances
Autor: | Antonio Fernando Gorgulho Bruzzi, André Monteiro Klen, Pedro Alameda-Hernández, Tiago Martins Pereira, Milene Sabino Lana |
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Rok vydání: | 2020 |
Předmět: |
Series (stratigraphy)
Lithology 0211 other engineering and technologies Borehole Soil Science Geology Probability density function 02 engineering and technology 010502 geochemistry & geophysics Geotechnical Engineering and Engineering Geology 01 natural sciences Discontinuity (geotechnical engineering) Rock mechanics Architecture Core recovery parameters Statistical physics Rock mass classification 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
Zdroj: | Geotechnical and Geological Engineering. 39:2399-2407 |
ISSN: | 1573-1529 0960-3182 |
Popis: | Rock masses are presenting an enduring challenge since the first authors began trying to model these natural structures. This modelling needs a parametrisation and a latter value assignment for those parameter value series, which show high variability, and a lack of clear patterns, in nature. Understanding the statistical nature of these values is an essential goal of rock mechanics, searching for the most appropriate probability density function (pdf) for fitting each one of those parameter values. The identification of those pdf is an aid for a better understanding of the rock mass nature and a need for correct discrete fracture network generation, or any probabilistic calculation. The parameter studied in this work is the degree of fracturing, in particular: the distances between fractures in a borehole rock core, which determines the Rock Quality Designation (RQD) value. The most accepted hypothesis is that these values fit a negative exponential pdf, however, with some criticism. Through the analysis of 1985 m of borehole rock core from five lithologies from two rock masses, this work shows the lognormality of the data series. The negative exponential does not fit correctly; however, the old approach for RQD based on this hypothesis offers satisfying results. Furthermore, it has been observed that schist presents the unclearer random pattern. |
Databáze: | OpenAIRE |
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