Determination of Joint Roughness Coefficients Using Roughness Parameters

This study used precisely digitized standard roughness profiles to determine roughness parameters such as statistical and 2D discontinuity roughness, and fractal dimensions. Our methods were based on the relationship between the joint roughness coefficient (JRC) values and roughness parameters calcu...

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Veröffentlicht in:Rock mechanics and rock engineering 2014-11, Vol.47 (6), p.2061-2073
Hauptverfasser: Jang, Hyun-Sic, Kang, Seong-Seung, Jang, Bo-An
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container_end_page 2073
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container_title Rock mechanics and rock engineering
container_volume 47
creator Jang, Hyun-Sic
Kang, Seong-Seung
Jang, Bo-An
description This study used precisely digitized standard roughness profiles to determine roughness parameters such as statistical and 2D discontinuity roughness, and fractal dimensions. Our methods were based on the relationship between the joint roughness coefficient (JRC) values and roughness parameters calculated using power law equations. Statistical and 2D roughness parameters, and fractal dimensions correlated well with JRC values, and had correlation coefficients of over 0.96. However, all of these relationships have a 4th profile (JRC 6–8) that deviates by more than ±5 % from the JRC values given in the standard roughness profiles. This indicates that this profile is statistically different than the others. We suggest that fractal dimensions should be measured within the entire range of the divider, instead of merely measuring values within a suitable range. Normalized intercept values also correlated with the JRC values, similarly to the fractal dimension values discussed above. The root mean square first derivative values, roughness profile indexes, 2D roughness parameter, and fractal dimension values decreased as the sampling interval increased. However, the structure function values increased very rapidly with increasing sampling intervals. This indicates that the roughness parameters are not independent of the sampling interval, and that the different relationships between the JRC values and these roughness parameters are dependent on the sampling interval.
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subjects Applied sciences
Buildings. Public works
Civil Engineering
Computation methods. Tables. Charts
Correlation
Correlation coefficient
Earth and Environmental Science
Earth Sciences
Exact sciences and technology
Fractal analysis
Fractals
Geophysics/Geodesy
Geotechnics
Intervals
Mathematical analysis
Mechanical properties
Original Paper
Parameter identification
Rocks
Roughness
Roughness coefficient
Sampling
Soil mechanics. Rocks mechanics
Structural analysis. Stresses
Surface roughness
Two dimensional
title Determination of Joint Roughness Coefficients Using Roughness Parameters
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