A rational and realistic rock mass modelling strategy for the stability analysis of blocky rock mass

Ma, G and Fu, G 2014, 'A rational and realistic rock mass modelling strategy for the stability analysis of blocky rock mass', Geomechanics and Geoengineering, vol. 9, no. 2, pp. 113-123.


Document type: Journal Article
Collection: Journal Articles

Title A rational and realistic rock mass modelling strategy for the stability analysis of blocky rock mass
Author(s) Ma, G
Fu, G
Year 2014
Journal name Geomechanics and Geoengineering
Volume number 9
Issue number 2
Start page 113
End page 123
Total pages 11
Publisher Taylor and Francis
Abstract Due to the importance of a realistic rock mass model for the achievement of accurate and reliable results from numerical analysis of blocky rock mass, a probability based rock mass geometrical model is proposed in the present study. The rock mass geometry is built based on site investigation data and stochastic analysis of the discontinuity mapping results. The discontinuities and/or sets of them, either finite or infinite in size, planar or non-planar, convex or concave in shape, can be implemented in the three-dimensional rock mass model. Key block analysis and support design are then suggested to the stochastic rock mass models. To achieve a realistic stability analysis of the rock mass with the proposed probabilistic rock mass model, a few suggestions have also been made. These include the adoption of realistic constitutive models to intact rock and rock discontinuities, use of numerical model to technically handle numerical difficulties and development of a realistic modelling strategy to achieve realistic and affordable computational cost, etc.
Subject Civil Geotechnical Engineering
Keyword(s) discontinuity network
key block analysis
modelling strategy
DOI - identifier 10.1080/17486025.2013.871067
Copyright notice © 2014 Taylor and Francis
ISSN 1748-6025
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 1 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 102 Abstract Views  -  Detailed Statistics
Created: Thu, 13 Jul 2017, 08:03:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us