Publication detail

Rock joint coefficients and their computerized classification

FICKER, T.

Original Title

Rock joint coefficients and their computerized classification

Type

journal article in Web of Science

Language

English

Original Abstract

A computerized method for determining rock joint coefficients is presented. Two relative similarity indicators are introduced to classify surface morphology of rock joints. The classification enables to compare investigated and database rock joints. Such a comparison aims at finding the couple of surfaces that are distinguished by the highest dynamical conformity. The first absolute indicator results from the Fourier matrix and evaluates wavy shapes of surfaces. The second absolute indicator quantifies the heights of surface reliefs and is defined as the root mean square height of the surface outline. Numerical reliability of these indicators is tested within the surface analysis of a series of limestone specimens. Besides the computerized assessment, 25 people have performed visual assessment of these limestone specimens. The results of visual assessments have been statistically processed and compared to the results received from the computerized procedure. The newly introduced absolute indicators have proved to be prospective numerical tools for evaluating joint rock coefficients.

Keywords

Computerized assessment; Joint rock coefficients; Numerical indicators; Rock joints; Shear strength.

Authors

FICKER, T.

Released

15. 9. 2019

Publisher

Elsevier

Location

Amsterdam

ISBN

2095-2686

Periodical

International Journal of Mining Science and Technology

Year of study

29

Number

5

State

Kingdom of the Netherlands

Pages from

701

Pages to

709

Pages count

9

URL

https://www.sciencedirect.com/science/article/pii/S2095268617305633

Full text in the Digital Library

http://hdl.handle.net/11012/184669

BibTex

@article{BUT158774,
  author="Tomáš {Ficker}",
  title="Rock joint coefficients and their computerized classification",
  journal="International Journal of Mining Science and Technology",
  year="2019",
  volume="29",
  number="5",
  pages="701--709",
  doi="10.1016/j.ijmst.2019.07.002",
  issn="2095-2686",
  url="https://www.sciencedirect.com/science/article/pii/S2095268617305633"
}