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Prediction of strength and deformability of an interlocked blocky rock mass using UDEC

Alshkane, Younis Mustafa Ali; Marshall, Alec M.; Stace, L.R.

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Authors

Younis Mustafa Ali Alshkane

Alec M. Marshall

L.R. Stace



Abstract

The accurate prediction of strength and deformability characteristics of a rock mass is very challenging. In practice, properties of a rock mass are often estimated from available empirical relationships based on the uniaxial compressive strength (UCS). However, UCS does not always give a good indication of in-situ rock mass strength and deformability. The aim of this paper is to present a methodology to predict the strength and deformability of a jointed rock mass using UDEC (universal distinct element code). In the study, the rock mass is modelled as an assemblage of deformable blocks that can yield as an intact material and/or slide along pre-defined joints within the rock mass. A range of numerical simulations of UCS and triaxial tests were conducted on rock mass samples in order to predict the equivalent mechanical properties for the rock mass under different loading directions. Results are compared against the deformability parameters obtained by analytical methods.

Citation

Alshkane, Y. M. A., Marshall, A. M., & Stace, L. (2017). Prediction of strength and deformability of an interlocked blocky rock mass using UDEC. Journal of Rock Mechanics and Geotechnical Engineering, 9(3), https://doi.org/10.1016/j.jrmge.2017.01.002

Journal Article Type Article
Acceptance Date Jan 5, 2017
Online Publication Date May 4, 2017
Publication Date Jun 1, 2017
Deposit Date Apr 7, 2017
Publicly Available Date May 4, 2017
Journal Journal of Rock Mechanics and Geotechnical Engineering
Electronic ISSN 1674-7755
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 9
Issue 3
DOI https://doi.org/10.1016/j.jrmge.2017.01.002
Keywords Strength, Deformability, Rock mass, Universal distinct element code
Public URL https://nottingham-repository.worktribe.com/output/862725
Publisher URL http://www.sciencedirect.com/science/article/pii/S1674775516300622

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