- Title
- Comparison of different approaches to predict the shear strength of large rock discontinuities
- Creator
- Jeffery, M.; Lapastoure Gritchou, L.; Giacomini, A.; Griffiths, V.; Buzzi, O.
- Relation
- 2018 European Rock Mechanics Symposium . Geomechanics and Geodynamics of Rock Masses: Selected Papers from the 2018 European Rock Mechanics Symposium (Saint Petersburg, Russia 22-26 May, 2018) p. 363-370
- Publisher Link
- http://dx.doi.org/10.1201/9780429449222-43
- Publisher
- Taylor & Francis
- Resource Type
- conference paper
- Date
- 2018
- Description
- Reliable prediction of shear strength for engineering scale in-situ discontinuities is still problematic. There is currently no consensus or a satisfactory method to estimate shear strength, account for surface variability and manage the effects of the recognised 'scale effect' phenomenon. Shear behaviour of a discontinuity rock mass greatly depends upon the rock joint roughness, which is generally concealed within the rock mass. As such, the limited amount of accessible surface information complicates even further the exercise of shear strength prediction. Often, small size specimens (e.g. rock core) are recovered to conduct experimental tests and predictions can be made from analysing traces. In this paper, three different shear strength prediction approaches were followed and their relative performances were compared. The results reveal that the prediction of shear strength from recovered sub samples can be significantly variable. The application of Barton's empirical model to four selected traces, produced a large scattering of results, with the prediction highly dependent on the trace used. Conversely, the application of Casagrande and co-workers' stochastic approach on the same traces, produced the least scatter and provides statistical data to quantify variability and uncertainty.
- Subject
- shear strength; surface variability; scale effect; rock discontinuities
- Identifier
- http://hdl.handle.net/1959.13/1403731
- Identifier
- uon:35213
- Identifier
- ISBN:9781138327481
- Language
- eng
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