Box fractal dimension as a measure of statistical homogeneity of jointed rock masses

Pinnaduwa Kulatilake, Reno Fiedler, Bibhuti B. Panda

Research output: Contribution to journalArticle

61 Citations (Scopus)

Abstract

A written computer programme to estimate the box fractal dimension (DB) is verified by estimating DB of the triadic Koch curve for which the theoretical D is known. The influence of a number of input parameters of the box-counting method on the accuracy of estimated DB is evaluated using the same Koch curve. The employed size range of the applied box networks was found to be the parameter which has the strongest influence on the accuracy of estimated DB. This indicated the importance of finding the range of self-similarity or self-affinity for the object considered to select the proper range for the box sizes and, in turn, to obtain accurate estimates of DB. By calculating DB for different block sizes sampled from three generated two-dimensional joint patterns, it is shown that DB can capture the combined effect of joint-size distribution and joint density on the statistical homogeneity of rock masses. The spatial variation of DB along a 350 m stretch of a tunnel in the shiplock area of the Three Gorges dam site is computed using the joint data mapped on the walls and the roof of the tunnel. This spatial variation of DB is used, along with the visual geological evaluation of the joint trace maps of the tunnel, in making decisions about statistical homogeneity of the rock mass around the tunnel. The results obtained on statistically homogeneous regions were found to be quite similar to the results obtained from a previous statistical homogeneity investigation which incorporated the effect of number of joint sets and their orientation distributions, but not the spatial variation of DB. It is recommended that the spatial variation of DB is used, along with the results of other methods such as contingency table analysis and equal area plots, which incorporate the effect of joint orientation distribution, in addition to the geology of the site, in determining the statistically homogeneous regions of jointed rock masses.

Original languageEnglish (US)
Pages (from-to)217-229
Number of pages13
JournalEngineering Geology
Volume48
Issue number3-4
StatePublished - Dec 1997

Fingerprint

Fractal dimension
homogeneity
Tunnels
spatial variation
tunnel
Rocks
rock
Geology
gorge
Roofs
range size
Dams
roof
Computer program listings
dam
Decision making
decision making
geology
software
effect

Keywords

  • Accuracy
  • Box fractal dimension
  • Case study
  • Discontinuity geometry
  • Proper box sizes
  • Rock masses
  • Statistical homogeneity
  • Theoretical

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology

Cite this

Box fractal dimension as a measure of statistical homogeneity of jointed rock masses. / Kulatilake, Pinnaduwa; Fiedler, Reno; Panda, Bibhuti B.

In: Engineering Geology, Vol. 48, No. 3-4, 12.1997, p. 217-229.

Research output: Contribution to journalArticle

Kulatilake, Pinnaduwa ; Fiedler, Reno ; Panda, Bibhuti B. / Box fractal dimension as a measure of statistical homogeneity of jointed rock masses. In: Engineering Geology. 1997 ; Vol. 48, No. 3-4. pp. 217-229.
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