- Title
- A Large-Scale Application of the Stochastic Approach for Estimating the Shear Strength of Natural Rock Discontinuities
- Creator
- Jeffery, M.; Huang, J.; Fityus, S.; Giacomini, A.; Buzzi, O.
- Relation
- ARC.DP190101558 http://purl.org/au-research/grants/arc/DP190101558
- Relation
- Rock Mechanics and Rock Engineering Vol. 56, Issue 8, p. 6061-6078
- Publisher Link
- http://dx.doi.org/10.1007/s00603-023-03393-1
- Publisher
- Springer
- Resource Type
- journal article
- Date
- 2023
- Description
- Reliable shear strength determination of large in situ discontinuities is still a challenge faced by the rock mechanics field. This is principally due to the limited availability of surface roughness and morphology information of in situ discontinuities and the unresolved management of the ‘scale effect’ phenomenon. Recently, a stochastic approach for predicting the shear strength of large-scale discontinuities was established, encompassing random field theory, a semi-analytical shear strength model, and a stochastic analysis framework. A key aspect of the new approach is the application at field scale, thereby minimising or bypassing the scale effect. The approach has been validated at laboratory scale and an initial large-scale deterministic-based validation showed promising results. However, to date, no large-scale experimental-based validation has been undertaken. This paper presents the first rigorous application of the employed semi-analytical shear strength model and the stochastic approach on a 2 m-by-2 m discontinuity surface, with comparison of prediction to experimental shear strength data. The shear strength model was found to generally produce peak and residual predictions within a ± 10% relative error range, with good agreement between predicted and observed damage areas. It was observed that, applying the stochastic approach to seed traces with gradient statistics equivalent to that of the surface, produced predictions that closely resemble the experimental results. Whereas, predicting shear strength from different seed traces results in more variability of predictions, with many falling within ± 20% of the experimental data. The predictions of residual shear strength tended to be more accurate than peak shear strength.
- Subject
- rock joint; discontinuity; large scale; shear strength; scale effect; stochastic
- Identifier
- http://hdl.handle.net/1959.13/1482297
- Identifier
- uon:50910
- Identifier
- ISSN:0723-2632
- Rights
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Language
- eng
- Full Text
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