Determination of Joint Roughness Coefficients Using Roughness Parameters

被引:168
作者
Jang, Hyun-Sic [1 ]
Kang, Seong-Seung [2 ]
Jang, Bo-An [1 ]
机构
[1] Kangwon Natl Univ, Dept Geophys, Chunchon 200701, Gangwon Do, South Korea
[2] Chosun Univ, Dept Energy Resources Engn, Kwangju 501759, South Korea
基金
新加坡国家研究基金会;
关键词
Roughness parameters; Joint roughness coefficient; Standard roughness profiles; Digitization; Power law equation; PROFILES; SURFACES;
D O I
10.1007/s00603-013-0535-z
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
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.
引用
收藏
页码:2061 / 2073
页数:13
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