Requirements for accurate quantification of self-affine roughness using the variogram method

Pinnaduwa Kulatilake, J. Um, G. Pan

Research output: Contribution to journalArticle

50 Citations (Scopus)

Abstract

Both stationary and non-stationary fractional Brownian profiles (self-affine profiles) with known values of fractal dimension, D, input standard deviation, σ, and data density, d, were generated. For different values of the input parameter of the variogram method (lag distance, h), D and another associated fractal parameter Kv were calculated for the aforementioned profiles. It was found that σ has no effect on calculated D. The estimated Kv was found to increase with D, σ and d according to the equation Kv = 2.0 × 10-5d0.35σ1.95D14.5. The parameter Kv seems to have potential to capture the scale effect of roughness profiles. Suitable ranges for h were estimated to obtain computed D within ±10% of the D used for the generation and also to satisfy a power functional relation between the variograrn and h. Results indicated the importance of removal of non-stationarity of profiles to obtain accurate estimates for the fractal parameters. It was found that at least two parameters are required to quantify stationary roughness; the parameters D and Kv are suggested for use with the variograrn method. In addition, one or more parameters should be used to quantify the non-stationary part of roughness, if it exists; at the basic level, the mean inclination/declination angle of the surface in the direction considered can be used to represent the non-stationarity. A new concept of feature size range of a roughness profile is introduced in this paper. The feature size range depends on d, D and σ. The suitable h range to use with the variogram method to produce accurate fractal parameter values for a roughness profile was found to depend on both d and D. It is shown that the feature size range of a roughness profile plays an important role in obtaining accurate roughness parameter values with both the divider and the variogram methods. The minimum suitable h was found to increase with decreasing d and increasing D. Procedures are given in this paper to estimate a suitable h range for a given natural rock joint profile to use with the variogram method to estimate D and Kv accurately for the profile.

Original languageEnglish (US)
Pages (from-to)4167-4189
Number of pages23
JournalInternational Journal of Solids and Structures
Volume35
Issue number31-32
StatePublished - Nov 1998

Fingerprint

Variogram
Self-affine
Roughness
Quantification
roughness
Surface roughness
requirements
Requirements
profiles
Fractals
fractals
Range of data
Fractal
Nonstationarity
Quantify
estimates
Fractal dimension
Declination
Profile
Estimate

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials

Cite this

Requirements for accurate quantification of self-affine roughness using the variogram method. / Kulatilake, Pinnaduwa; Um, J.; Pan, G.

In: International Journal of Solids and Structures, Vol. 35, No. 31-32, 11.1998, p. 4167-4189.

Research output: Contribution to journalArticle

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