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Published in: Geotechnical and Geological Engineering 3/2021

12-11-2020 | Original Paper

Probability Density Function of Rock Mass Discontinuity Distances

Authors: Antonio Fernando Gorgulho Bruzzi, Pedro Alameda-Hernández, André Monteiro Klen, Tiago Martins Pereira, Milene Sabino Lana

Published in: Geotechnical and Geological Engineering | Issue 3/2021

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Abstract

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.

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Literature
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Metadata
Title
Probability Density Function of Rock Mass Discontinuity Distances
Authors
Antonio Fernando Gorgulho Bruzzi
Pedro Alameda-Hernández
André Monteiro Klen
Tiago Martins Pereira
Milene Sabino Lana
Publication date
12-11-2020
Publisher
Springer International Publishing
Published in
Geotechnical and Geological Engineering / Issue 3/2021
Print ISSN: 0960-3182
Electronic ISSN: 1573-1529
DOI
https://doi.org/10.1007/s10706-020-01634-6

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