The probabilistic estimation of rock masses properties in Malmberget mine, Sweden
Numerical modeling techniques have been applied in many mining and civil engineering projects. Traditionally, deterministic methods have been used frequently for the estimation of design or input parameters for numerical modeling. Whereas, it is known that the effect of variability and uncertainty s...
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Luleå tekniska universitet, Geoteknologi
2013
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ftluleatu:oai:DiVA.org:ltu-7933 2023-05-15T17:10:08+02:00 The probabilistic estimation of rock masses properties in Malmberget mine, Sweden Idris, Musa Adebayo Basarir, Hakan Nordlund, Erling Wettainen, Thomas 2013 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-7933 eng eng Luleå tekniska universitet, Geoteknologi Luossavaara-Kiirunavaara AB. SE-98381, Malmberget Mete Öner The Electronic journal of geotechnical engineering, 1089-3032, 2013, 18:B, s. 269-287 orcid:0000-0002-3838-8472 orcid:0000-0003-4556-4953 orcid:0000-0002-9766-0106 http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-7933 Local 65f3a1e7-7fe9-48c2-80da-969bbeba6367 info:eu-repo/semantics/openAccess Other Civil Engineering Annan samhällsbyggnadsteknik Article in journal info:eu-repo/semantics/article text 2013 ftluleatu 2022-10-25T20:57:48Z Numerical modeling techniques have been applied in many mining and civil engineering projects. Traditionally, deterministic methods have been used frequently for the estimation of design or input parameters for numerical modeling. Whereas, it is known that the effect of variability and uncertainty sourced from the complex and variable nature of rock cannot be considered by deterministic approaches using single or mean value. In this paper, the authors tried to apply a probabilistic approach to consider the uncertainties and variability in rock properties. This is to make more a realistic assessment of design parameters of rock masses around an instrumented test drift in Malmberget Mine within the content of the “Rock mass - Rock support interaction project” conducted at the Division of Mining and Geotechnical Engineering, Lulea University of Technology. To calculate the design parameters GSI of rock mass, UCS and mi constant of the intact rock are considered as random variables. For each of these random variables ranges were specified depending on the laboratory and field information. Using Monte Carlo simulation method a possible range of each of necessary strength and deformability properties were obtained and presented. The assessed values can be used as preliminary input parameters and considered as basis for further numerical modeling calibration studies. Validerad; 2013; 20130612 (idrmus) Article in Journal/Newspaper Malmberget Luleå University of Technology Publications (DiVA) Lulea ENVELOPE(22.166,22.166,65.580,65.580) |
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Luleå University of Technology Publications (DiVA) |
op_collection_id |
ftluleatu |
language |
English |
topic |
Other Civil Engineering Annan samhällsbyggnadsteknik |
spellingShingle |
Other Civil Engineering Annan samhällsbyggnadsteknik Idris, Musa Adebayo Basarir, Hakan Nordlund, Erling Wettainen, Thomas The probabilistic estimation of rock masses properties in Malmberget mine, Sweden |
topic_facet |
Other Civil Engineering Annan samhällsbyggnadsteknik |
description |
Numerical modeling techniques have been applied in many mining and civil engineering projects. Traditionally, deterministic methods have been used frequently for the estimation of design or input parameters for numerical modeling. Whereas, it is known that the effect of variability and uncertainty sourced from the complex and variable nature of rock cannot be considered by deterministic approaches using single or mean value. In this paper, the authors tried to apply a probabilistic approach to consider the uncertainties and variability in rock properties. This is to make more a realistic assessment of design parameters of rock masses around an instrumented test drift in Malmberget Mine within the content of the “Rock mass - Rock support interaction project” conducted at the Division of Mining and Geotechnical Engineering, Lulea University of Technology. To calculate the design parameters GSI of rock mass, UCS and mi constant of the intact rock are considered as random variables. For each of these random variables ranges were specified depending on the laboratory and field information. Using Monte Carlo simulation method a possible range of each of necessary strength and deformability properties were obtained and presented. The assessed values can be used as preliminary input parameters and considered as basis for further numerical modeling calibration studies. Validerad; 2013; 20130612 (idrmus) |
format |
Article in Journal/Newspaper |
author |
Idris, Musa Adebayo Basarir, Hakan Nordlund, Erling Wettainen, Thomas |
author_facet |
Idris, Musa Adebayo Basarir, Hakan Nordlund, Erling Wettainen, Thomas |
author_sort |
Idris, Musa Adebayo |
title |
The probabilistic estimation of rock masses properties in Malmberget mine, Sweden |
title_short |
The probabilistic estimation of rock masses properties in Malmberget mine, Sweden |
title_full |
The probabilistic estimation of rock masses properties in Malmberget mine, Sweden |
title_fullStr |
The probabilistic estimation of rock masses properties in Malmberget mine, Sweden |
title_full_unstemmed |
The probabilistic estimation of rock masses properties in Malmberget mine, Sweden |
title_sort |
probabilistic estimation of rock masses properties in malmberget mine, sweden |
publisher |
Luleå tekniska universitet, Geoteknologi |
publishDate |
2013 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-7933 |
long_lat |
ENVELOPE(22.166,22.166,65.580,65.580) |
geographic |
Lulea |
geographic_facet |
Lulea |
genre |
Malmberget |
genre_facet |
Malmberget |
op_relation |
The Electronic journal of geotechnical engineering, 1089-3032, 2013, 18:B, s. 269-287 orcid:0000-0002-3838-8472 orcid:0000-0003-4556-4953 orcid:0000-0002-9766-0106 http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-7933 Local 65f3a1e7-7fe9-48c2-80da-969bbeba6367 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766066582581149696 |