On the usability of different optical measuring techniques for joint roughness evaluation

The roughness of rock discontinuities is an important input parameter for mechanical models of rock masses. To reliably calculate roughness indices, adequate representations of the surfaces are required. Various optical measuring approaches have been applied in the past. However, many studies lack information on resolution and accuracy of the resulting surface meshes. These qualities are yet important, as they explicitly affect the deduced roughness metrics. Often, the sensors do not achieve the given precision and accuracy. Moreover, no technical standards presently exist for roughness evaluation from optical measuring approaches. Therefore, previous studies are difficult to compare. To overcome these issues, this study offers a comparison of four different techniques and sensors. Here, the focus lies on laboratory use and evaluation of micro-roughness, meaning sample sizes up to 20 cm in length. Stationary structured light scanning (SLS) serves as the reference method. As results, the surface models from dense image matching are very consistent with the reference. Their calculated roughness values accord to a high degree, both for 2D and 3D indices. In addition, roughness indices deduced from models acquired with manually operated SLS show deviations from the reference yet within an acceptable range. Instead, terrestrial laser scanning turned out to be not suitable for micro-roughness evaluation, at least at laboratory scale. Furthermore, in this contribution, an algorithm is applied, which can retrace all possible profile measurements directly from the triangulated surfaces. That way the ambiguity of the profile-based roughness measure joint roughness coefficient (JRC) is made visible.

[1]  Stephen R. Brown Simple mathematical model of a rough fracture , 1995 .

[2]  Norbert Pfeifer,et al.  GLACIER SURFACE SEGMENTATION USING AIRBORNE LASER SCANNING POINT CLOUD AND INTENSITY DATA , 2007 .

[3]  Norbert H. Maerz,et al.  Joint roughness measurement using shadow profilometry , 1990 .

[4]  M. Menenti,et al.  Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points , 2011 .

[5]  Giovanni Grasselli,et al.  ISRM Suggested Method for Laboratory Determination of the Shear Strength of Rock Joints: Revised Version , 2013, Rock Mechanics and Rock Engineering.

[6]  S. Walsh,et al.  Comparison of Surface Properties in Natural and Artificially Generated Fractures in a Crystalline Rock , 2017, Rock Mechanics and Rock Engineering.

[7]  M. Jaboyedoff,et al.  Terrestrial laser scanning of rock slope instabilities , 2014 .

[8]  Frank Neitzel,et al.  An intensity-based stochastic model for terrestrial laser scanners , 2017 .

[9]  D. H. Kim,et al.  Improvement of photogrammetric JRC data distributions based on parabolic error models , 2015 .

[10]  Giovanni Grasselli,et al.  Constitutive law for the shear strength of rock joints based on three-dimensional surface parameters , 2003 .

[11]  Hyun-Sic Jang,et al.  New Method for Shear Strength Determination of Unfilled, Unweathered Rock Joint , 2015, Rock Mechanics and Rock Engineering.

[12]  William C. Haneberg,et al.  Directional Roughness Profiles From Three-dimensional Photogrammetric Or Laser Scanner Point Clouds , 2007 .

[13]  Giovanni Grasselli,et al.  An Investigation of Discontinuity Roughness Scale Dependency Using High-Resolution Surface Measurements , 2013, Rock Mechanics and Rock Engineering.

[14]  Yongbo Zhang,et al.  Quantitative estimation of joint roughness coefficient using statistical parameters , 2015 .

[15]  Susanne Becker,et al.  Automatic Marker-Free Registration of Terrestrial Laser Scans using Reflectance Features , 2007 .

[16]  N. Barton,et al.  Effects Of Block Size On The Shear Behavior Of Jointed Rock , 1982 .

[17]  T. Fernandez-Steeger,et al.  Use of terrestrial laser scanning for engineering geological applications on volcanic rock slopes – an example from Madeira island (Portugal) , 2011 .

[18]  Norbert Pfeifer,et al.  Applying Terrestrial Laser Scanning for Soil Surface Roughness Assessment , 2015, Remote. Sens..

[19]  M. Souley,et al.  Quantitative Parameters for Rock Joint Surface Roughness , 2000 .

[20]  Rok Vezočnik,et al.  Quantification of rock joint roughness using terrestrial laser scanning , 2015 .

[21]  Xianbin Yu,et al.  Joint profiles and their roughness parameters , 1991 .

[22]  Pardini,et al.  A combination of laser technology and fractals to analyse soil surface roughness , 1998 .

[23]  Ivan Gratchev,et al.  Determination of joint roughness coefficient (JRC) for slope stability analysis: a case study from the Gold Coast area, Australia , 2013, Landslides.

[24]  孙博玲 分形维数(Fractal dimension)及其测量方法 , 2004 .

[25]  S. R. Hencher,et al.  Assessing the Shear Strength of Rock Discontinuities at Laboratory and Field Scales , 2015, Rock Mechanics and Rock Engineering.

[26]  Giovanni Grasselli,et al.  A method to evaluate the three-dimensional roughness of fracture surfaces in brittle geomaterials. , 2009, The Review of scientific instruments.

[27]  Ove Stephansson,et al.  Application of a new in situ 3D laser scanner to study the scale effect on the rock joint surface roughness , 2004 .

[28]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[29]  Daniel Wujanz,et al.  TOWARDS TRANSPARENT QUALITY MEASURES IN SURFACE BASED REGISTRATION PROCESSES: EFFECTS OF DEFORMATION ONTO COMMERCIAL AND SCIENTIFIC IMPLEMENTATIONS , 2012 .

[30]  Yujing Jiang,et al.  Estimating the relation between surface roughness and mechanical properties of rock joints , 2006 .

[31]  Stuart Robson,et al.  Close Range Photogrammetry , 2007 .

[32]  David A Lange,et al.  Relationship between Fracture Surface Roughness and Fracture Behavior of Cement Paste and Mortar , 1993 .

[33]  Denis Thibodeau,et al.  3D laser imaging for surface roughness analysis , 2013 .

[34]  M. J. Reeves,et al.  Rock surface roughness and frictional strength , 1985 .

[35]  Giovanni Grasselli,et al.  Quantitative three-dimensional description of a rough surface and parameter evolution with shearing , 2002 .

[36]  E. G. Thwaite,et al.  A noncontact laser system for measuring soil surface topography , 1988 .

[37]  Nick Barton,et al.  Review of a new shear-strength criterion for rock joints , 1973 .

[38]  M. Rothermel,et al.  SURE : PHOTOGRAMMETRIC SURFACE RECONSTRUCTION FROM IMAGER Y , 2013 .

[39]  L. Jing,et al.  The scale dependence of rock joint surface roughness , 2001 .

[40]  Carlos Hernandez,et al.  Multi-View Stereo: A Tutorial , 2015, Found. Trends Comput. Graph. Vis..

[41]  Christoph Wernecke,et al.  Mapping Rock Surface Roughness with Photogrammetry , 2015 .

[42]  H. Hirschmüller Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Stereo Processing by Semi-global Matching and Mutual Information , 2022 .

[43]  N. Pfeifer,et al.  Correction of laser scanning intensity data: Data and model-driven approaches , 2007 .

[44]  Pedro Alameda-Hernández,et al.  Improvement of the JRC Calculation Using Different Parameters Obtained Through a New Survey Method Applied to Rock Discontinuities , 2014, Rock Mechanics and Rock Engineering.

[45]  W. Griffith,et al.  Fault Roughness at Seismogenic Depths from LIDAR and Photogrammetric Analysis , 2011 .

[46]  T. Thomas Characterization of surface roughness , 1981 .

[47]  Michael M. Kazhdan,et al.  Screened poisson surface reconstruction , 2013, TOGS.

[48]  Jerry P. Fairley,et al.  Estimating surface roughness of terrestrial laser scan data using orthogonal distance regression , 2011 .

[49]  N. O. Myers,et al.  Characterization of surface roughness , 1962 .

[50]  Gerard Berginc,et al.  3D Laser Imaging , 2011 .

[51]  Jinge Wang,et al.  A Description for Rock Joint Roughness Based on Terrestrial Laser Scanner and Image Analysis , 2015, Scientific Reports.

[52]  George Vosselman,et al.  Airborne and terrestrial laser scanning , 2011, Int. J. Digit. Earth.

[53]  Runqiu Huang,et al.  Relationship between joint roughness coefficient and fractal dimension of rock fracture surfaces , 2015 .

[54]  J. Carr,et al.  The fractal dimension as a measure of the roughness of rock discontinuity profiles , 1990 .

[55]  Heiko Hirschmüller,et al.  Stereo Processing by Semiglobal Matching and Mutual Information , 2008, IEEE Trans. Pattern Anal. Mach. Intell..

[56]  NORBERT HAALA Multiray Photogrammetry and Dense Image Matching , 2011 .

[57]  H. Hirschmüller Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information , 2005, CVPR.

[58]  C. Edelbro,et al.  Small Scale Joint Surface Roughness Evaluation Using Digital Photogrammetry , 2012 .

[59]  D. Stead,et al.  Close-range terrestrial digital photogrammetry and terrestrial laser scanning for discontinuity characterization on rock cuts , 2009 .

[60]  Uwe Stilla,et al.  Laser pulse analysis for reconstruction and classification of urban objects , 2003 .

[61]  Tom Chen,et al.  Design and implementation , 2006, IEEE Commun. Mag..

[62]  Quansheng Liu,et al.  Updates to JRC-JCS model for estimating the peak shear strength of rock joints based on quantified surface description , 2017 .

[63]  Paolo Cignoni,et al.  Metro: Measuring Error on Simplified Surfaces , 1998, Comput. Graph. Forum.

[64]  Louis Ngai Yuen Wong,et al.  A Modified Correlation Between Roughness Parameter Z2 and the JRC , 2013, Rock Mechanics and Rock Engineering.

[65]  N. Barton,et al.  The shear strength of rock joints in theory and practice , 1977 .

[66]  N. Watanabe,et al.  Beyond‐laboratory‐scale prediction for channeling flows through subsurface rock fractures with heterogeneous aperture distributions revealed by laboratory evaluation , 2015 .