A STUDY OF PROFILE CHARACTERIZATION FOR ROCK JOINTS

Authors
Citation
H. Liu et Rl. Sterling, A STUDY OF PROFILE CHARACTERIZATION FOR ROCK JOINTS, Rock mechanics and rock engineering, 27(4), 1994, pp. 189-208
Citations number
29
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Geosciences, Interdisciplinary","Engineering, Civil
ISSN journal
0723-2632
Volume
27
Issue
4
Year of publication
1994
Pages
189 - 208
Database
ISI
SICI code
0723-2632(1994)27:4<189:ASOPCF>2.0.ZU;2-U
Abstract
This study is part of a longer-term effort to characterize the shear a nd normal behavior of rock joints. The profile characterization of roc k joints is an important part of this effort since the topography of a joint has a major influence on its tribological behavior. Although ma ny parameters have been proposed by various authors to characterize jo int topography, they do not represent unambiguous intrinsic properties of a joint. Such parameters are usually sensitive to the approach use d to estimate their values, and, for joint measurements, are dependent on the sampling interval as well as the sample size. Thus, consistent values for these parameters can be difficuIt to determine. This paper presents an investigation of the sensitivity of some joint profile pa rameters using numerically-generated profiles which allow one to inves tigate the characterization technique and some aspects of the sampling methodology. Specifically, Gaussian-distributed profiles characterize d by an exponential cosine autocorrelation function and an exponential autocorrelation function are generated. Gaussian profiles can be comp letely characterized by the first three even spectral moments, and, in this study, these spectral moments are estimated by three approaches - the finite difference approximation approach, the crossing-counting approach, and the autocorrelation function (acf) approach. The estimat ed values of these spectral moments are then compared with their analy tical values to investigate the discrepancies caused by different esti mation approaches. The variations of the spectral moments of the expon ential cosine representation against the profile structure, the sampli ng interval and the sample size are also described. In addition, the i nfluence of the sampling interval on the inferred roughness angle of p rofiles characterized by an exponential cosine function is briefly dis cussed.