Three-dimensional roughness characterization of rock joints using laser scanning and wind diagrams

S. L. Adams, M. M. MacLaughlin, K. G. Berry, M. L. McCormick, S. M. Berry, M. McGough, N. Hudyma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper presents 3D desktop laser scanning as a tool for roughness characterization of rock joints, in conjunction with traditional 2D contour gauge profiles. Four specimens representing four different rock types (schist, granite, slate, and sandstone) and roughness values were characterized. The 2D roughness profiles are presented along with the JRC values assigned through comparison with standard JRC profiles. The 3D laser scan data are used to generate files containing the strike, dip angle, and dip direction of thousands of individual facets. The data are presented using traditional histograms of dip angle (irrespective of direction), and as wind plots that allow effective visualization of both magnitude and direction of the dip of the facets. The wind plots are used to highlight the similarities and differences of the specimens, and also between scans of the same specimen before and after being subjected to a direct shear test.

Original languageEnglish
Title of host publication48th US Rock Mechanics / Geomechanics Symposium 2014
EditorsEmmanuel Detournay, Ray Sterling, Lee Petersen, Joseph F. Labuz, Will Pettitt
Pages1665-1674
Number of pages10
ISBN (Electronic)9781634395236
StatePublished - 2014
Event48th US Rock Mechanics / Geomechanics Symposium 2014: Rock Mechanics Across Length and Time Scales - Minneapolis, United States
Duration: 1 Jun 20144 Jun 2014

Publication series

Name48th US Rock Mechanics / Geomechanics Symposium 2014
Volume3

Conference

Conference48th US Rock Mechanics / Geomechanics Symposium 2014: Rock Mechanics Across Length and Time Scales
Country/TerritoryUnited States
CityMinneapolis
Period1/06/144/06/14

Fingerprint

Dive into the research topics of 'Three-dimensional roughness characterization of rock joints using laser scanning and wind diagrams'. Together they form a unique fingerprint.

Cite this