Sensitivity tests on rock block size distribution

An intensive sensitivity test was made on the block size distribution for various rock joint parameters, specially for the orientation of joint planes and their statistical models. The shape of block size distributions was altered drastically when the concentration factor of β-distribution was lowered from 700 to 200; unimodal skewed distribution to an exponential distribution. The dispersion of pole vectors over the mean attitude was rather sensitive to the block size distribution than the number of joint sets and their relative orientations in the space. The block size distribution is a better parameter to characterize the fractured rock mass for various geotechnical and geohydrological analyses.

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Publication Details

Published
2026-02-18
DOI
https://doi.org/10.1201/9781003761365-150
Citations
5
Primary Topic
Rock Mechanics and Modeling
Type
article
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article

Sensitivity tests on rock block size distribution

Dae S. Young, Amarin Boontun, Charles A. Stone
5 citations
Rock Mechanics and Modeling
article

Sensitivity tests on rock block size distribution

Dae S. Young, Amarin Boontun, Charles A. Stone
article en
5 citations

Abstract

An intensive sensitivity test was made on the block size distribution for various rock joint parameters, specially for the orientation of joint planes and their statistical models. The shape of block size distributions was altered drastically when the concentration factor of β-distribution was lowered from 700 to 200; unimodal skewed distribution to an exponential distribution. The dispersion of pole vectors over the mean attitude was rather sensitive to the block size distribution than the number of joint sets and their relative orientations in the space. The block size distribution is a better parameter to characterize the fractured rock mass for various geotechnical and geohydrological analyses.

Michigan Technological University (US), Engineering Associates (United States) (US)
Climate action
Openalex Percentile: Top 98%
Rock Mechanics and Modeling
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