Journal article
Stochastic analysis of progressive failure of fractured rock masses containing non-persistent joint sets using key block analysis
Tunnelling and underground space technology, Vol.51, pp.258-269
01/2016
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Source: InCites
Abstract
A stochastic key block method is developed for the analysis of complex blocky rock masses containing non-persistent joint sets. A robust block generation program is developed to model the non-persistent discontinuities. Various uncertainties of geological and geometrical parameters of the discontinuities are considered and Monte Carlo simulations of key blocks are performed. Based on the present analysis, progressive failure of a rock mass can be evaluated in a stochastic manner and the statistics of the key blocks including the total number and volume, the maximum and mean volume, shape and failure mechanism, etc. can be assessed. This approach is applied to a hypothetical horseshoe shaped tunnel in a highly fractured rock mass. Three scenarios with varying mean discontinuity size are analyzed to consider size effect on the predicted blocks and key blocks. It is shown quantitatively that a persistent discontinuity network assumption causes over-fragmentation of predicted blocks, overestimation of key blocks, and underestimation of the largest key block volume compared with non-persistent ones. More realistic representation of the discontinuities by considering the non-persistence is important to give out more reliable failure estimation of fractured rock mass. In addition, a case study application to a slope at the right bank of the Jinping I hydropower station has been conducted. Key block statistics is also helpful in support design.
Details
- Title
- Stochastic analysis of progressive failure of fractured rock masses containing non-persistent joint sets using key block analysis
- Creators
- G. Y. Fu - University of Western AustraliaG. W. Ma - University of Western AustraliaX. L. Qu - University of Western AustraliaD. Huang - Chongqing University
- Publication Details
- Tunnelling and underground space technology, Vol.51, pp.258-269
- Publisher
- Elsevier
- Number of pages
- 12
- Grant note
- International Postgraduate Research Scholarship (IPRS) - Australian Government via the University of Western Australia Australian Postgraduate Award (APA) - Australian Government via the University of Western Australia 41130751; 51178012; 41172243 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Identifiers
- 991013126110102368
- Copyright
- (C) 2015 Elsevier Ltd. All rights reserved.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article