Summary.
A computational algorithm which uses depth data from a reference plane to a rock fracture surface in calculating a new three-dimensional joint roughness coefficient is presented. Two independent sets of fracture data are investigated. The new coefficient is compared to Barton’s 2D joint roughness coefficient JRC. A measure indicating corrupt data is discussed. The algorithm is also used to show that, in general, rock roughness is only a local variable, not a directional one.
Similar content being viewed by others
References
N. Barton V. Choubey (1977) ArticleTitleThe shear strength of rock joints in theory and practice. Rock Mech. 10 1–54 Occurrence Handle10.1007/BF01261801
Murata, S., Saito, T. (2003): A new evaluation method of JRC and its size effect. 10th Intl. Conf. Intl. Soc. Rock Mech. Vouille & P. Berest, Paris, 855–858.
N. E. Odling (1994) ArticleTitleNatural fracture profiles, fractal dimension and joint roughness coefficients. Rock Mech. Rock Engng. 27 IssueID3 135–153 Occurrence Handle10.1007/BF01020307
Ohnishi, Y. (1993): Personal communication of laboratory data.
Ohnishi, Y. (2004): Personal communication of laboratory data.
R. Tse D. M. Cruden (1979) ArticleTitleEstimating joint roughness coefficients. Int. J. Rock Mech. Min. Sci. 16 303–307 Occurrence Handle10.1016/0148-9062(79)90241-9
X. Yu D. Vayssade (1991) ArticleTitleJoint profiles and their roughness parameters. Int. J. Rock Mech. Min. Sci. 28 IssueID4 333–336 Occurrence Handle10.1016/0148-9062(91)90598-G
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Herda, H. An Algorithmic 3D Rock Roughness Measure Using Local Depth Measurement Clusters. Rock Mech. Rock Engng. 39, 147–158 (2006). https://doi.org/10.1007/s00603-005-0063-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00603-005-0063-6