The use of the rock mass variability index in material property selection for pit slope stability modelling

The primary aim of this research is to put forward a new process which would enhance the methodology which rock mechanics practitioners apply to formulate material parameters for the purpose of slope stability modelling. Often a great deal of emphasis is placed on the actual modelling process itself...

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Main Author: Narendranathan, Sanjive
Format: Thesis
Language:English
Published: Curtin University 2010
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/1463
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author Narendranathan, Sanjive
author_facet Narendranathan, Sanjive
author_sort Narendranathan, Sanjive
building Curtin Institutional Repository
collection Online Access
description The primary aim of this research is to put forward a new process which would enhance the methodology which rock mechanics practitioners apply to formulate material parameters for the purpose of slope stability modelling. Often a great deal of emphasis is placed on the actual modelling process itself i.e. the type of software number of nodes etc but very little consideration is given to what is actually being fed into these software packages.The Rock Mass Variability Index is a method being introduced by the author to aid practitioners in the process of calculating material properties for the purposes of stability modelling based on assessing and quantifying their statistical variability. To date though, there have been many different variations of probabilistic slope design approaches put forward by others; there is not one unified system to assess material strength variability. This is left to the discretion of the particular practitioner.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-14632017-02-20T06:37:17Z The use of the rock mass variability index in material property selection for pit slope stability modelling Narendranathan, Sanjive material property selection Rock Mass Variability Index pit slope stability modelling probabilistic slope design The primary aim of this research is to put forward a new process which would enhance the methodology which rock mechanics practitioners apply to formulate material parameters for the purpose of slope stability modelling. Often a great deal of emphasis is placed on the actual modelling process itself i.e. the type of software number of nodes etc but very little consideration is given to what is actually being fed into these software packages.The Rock Mass Variability Index is a method being introduced by the author to aid practitioners in the process of calculating material properties for the purposes of stability modelling based on assessing and quantifying their statistical variability. To date though, there have been many different variations of probabilistic slope design approaches put forward by others; there is not one unified system to assess material strength variability. This is left to the discretion of the particular practitioner. 2010 Thesis http://hdl.handle.net/20.500.11937/1463 en Curtin University fulltext
spellingShingle material property selection
Rock Mass Variability Index
pit slope stability modelling
probabilistic slope design
Narendranathan, Sanjive
The use of the rock mass variability index in material property selection for pit slope stability modelling
title The use of the rock mass variability index in material property selection for pit slope stability modelling
title_full The use of the rock mass variability index in material property selection for pit slope stability modelling
title_fullStr The use of the rock mass variability index in material property selection for pit slope stability modelling
title_full_unstemmed The use of the rock mass variability index in material property selection for pit slope stability modelling
title_short The use of the rock mass variability index in material property selection for pit slope stability modelling
title_sort use of the rock mass variability index in material property selection for pit slope stability modelling
topic material property selection
Rock Mass Variability Index
pit slope stability modelling
probabilistic slope design
url http://hdl.handle.net/20.500.11937/1463