Skip to main content
Log in

Determination of joint roughness coefficient (JRC) for slope stability analysis: a case study from the Gold Coast area, Australia

  • Technical Note
  • Published:
Landslides Aims and scope Submit manuscript

Abstract

Surface roughness of rock discontinuities is an important factor that determines the strength characteristics of rock mass. Joint roughness coefficient (JRC), which is typically measured by means of Barton’s combs in the field, is widely used to describe the joint roughness. However, this traditional method of measurement can be rather subjective, labor-intensive and time consuming. In contrast, photogrammetry can provide an alternative method to obtain relatively simple and fast measurements of JRC based on high resolution 3D models. However, the reliability of such measurements still remains an issue as the results from photogrammetry can be affected by the quality of images. This study seeks to clarify whether photogrammetry can produce accurate measurements of JRC that can be used to assess the stability of slopes. A rock slope with a recent wedge failure in the Gold Coast area, Australia was selected for this purpose, and three different methods such as manual measurements, photogrammetry, and tilt tests were employed to determine the JRC. The obtained results showed some discrepancy in the values of JRC obtained from these three different measurements. In particular, the JRC obtained using the Barton’s comb had slightly higher values compared to those determined through the photogrammetry method while the tilt test results tended to yield overestimated values of JRC. Computer analysis using Universal Distinct Element Code was also performed to study the effect of JRC variation on the slope stability. It was found that an increase in the JRC led to an increase in the safety factor of the slope.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

References

  • Australian standard (2007) AS 4133.4.1. Method 4.1: rock strength tests—determination of point load strength index

  • Barton N, Choubey V (1977) The shear strength of rock joints in theory and practice. Rock Mech 10:1–54

    Article  Google Scholar 

  • Brideau M-A, Sturzenegger M, Stead D, Jaboyedoff M, Lawrence M, Roberts N, Ward B, Millard T, Clague J (2012) Stability analysis of the 2007 Chehalis lake landslide based on long-range terrestrial photogrammetry and airborne LiDAR data. Landslides 9:75–91

    Article  Google Scholar 

  • CSIRO Exploration and Mining (2005) Field procedures for photogrammetric pit mapping

  • Ferrero AM, Migliazza M, Roncella R, Rabbi E (2011) Rock slopes risk assessment based on advanced geostructural survey techniques. Landslides 8:221–231

    Article  Google Scholar 

  • Firpo G, Salvini R, Francioni M, Ranjith PG (2011) Use of digital terrestrial photogrammetry in rocky slope stability analysis by distinct elements numerical methods. Int J Rock Mech Min Sci 48:1045–1054

    Article  Google Scholar 

  • Grasselli G, Egger P (2003) Constitutive law for the shear strength of rock joints based on three-dimensional surface parameters. Int J Rock Mech Min Sci 40:25–40

    Article  Google Scholar 

  • Gratchev I, Shokouhi A, Kim DH, Stead D, Wolter A (2013) Assessment of rock slope stability using remote sensing technique in the Gold Coast area, Australia. 18th Southeast Asian Geotechnical & Inaugural AGSSEA Conference

  • Guo H, Karekal S, Poropat G, Soole P, Lambert C (2011) Pit wall strength estimation with 3D imaging. CSIRO, ACARP, Brisbane

    Google Scholar 

  • Haneberg WC (2007) Directional roughness profiles from three-dimensional photogrammetric or laser scanner point clouds. 1st Canada–US Rock Mechanics Symposium, Vancouver : 101–106

  • Katz O, Reches Z, Roegiers J-C (2000) Evaluation of mechanical rock properties using a Schmidt Hammer. Int J Rock Mech Min Sci 37:723–728

    Article  Google Scholar 

  • Maerz NH, Franklin JA, Bennett CP (1990) Joint roughness measurement using shadow profilometry. Int J Rock Mech Min Sci 27:329–343

    Google Scholar 

  • Milne D, Hawkes C, Hamilton C (2009) A new tool for the field characterization of joint surfaces. Proc the 3rd CANUS Rock Mechanics Symposium, Toronto

  • Poropat GV (2009) Measurement of surface roughness of rock discontinuities. Proc the 3rd CANUS Rock Mechanics Symposium, Toronto

  • Shokouhi A, Gratchev I, Kim DH (2013) Rock slope stability problems in Gold Coast area, Australia. Int J GEOMATE 4(1):501–504

    Google Scholar 

  • Sturzenegger M (2010) Multi-scale characterization of rock mass discontinuities and rock slope geometry using terrestrial remote sensing techniques. PhD thesis, Simon Fraser University

  • Tse R, Cruden DM (1979) Estimating joint roughness coefficients. Int J Rock Mech Min Sci 16:303–307

    Article  Google Scholar 

  • Willmott W (2010) Rocks and landscape of the Gold Coast hinterland. Geological society of Australia, Queensland division

  • Yasar E, Erdogan Y (2004) Estimation of rock physiomechanical properties using hardness methods. Eng Geol 71:281–288

    Article  Google Scholar 

Download references

Acknowledgments

The work was supported by the NRG grant from Griffith University, Australia. The authors with to thank Mr. George Poropat from CSIRO and Professor Douglas Stead from Simon Fraser University in Canada for valuable helps and Mr. Ali Shokouhi for assistance in field investigation and data analysis.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dong Hyun Kim.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kim, D.H., Gratchev, I. & Balasubramaniam, A. Determination of joint roughness coefficient (JRC) for slope stability analysis: a case study from the Gold Coast area, Australia. Landslides 10, 657–664 (2013). https://doi.org/10.1007/s10346-013-0410-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10346-013-0410-8

Keywords

Navigation