Modelling geotechnical heterogeneities using geostatistical simulation and finite differences analysis
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/60055 |
Resumo: | Modelling a rock mass in an accurate and realistic way allows researchers to reduce the uncertainty associated with its characterisation and reproduce the intrinsic spatial variability and heterogeneities present in the rock mass. However, there is often a lack of a structured methodology to characterise heterogeneous rock masses using geotechnical information available from the prospection phase. This paper presents a characterization methodology based on the geostatistical simulation of geotechnical variables and the application of a scenario reduction technique aimed at selecting a reduced number of realisations able to statistically represent a large set of realisations obtained by the geostatistical approach. This type of information is useful for a further rock mass behaviour analysis. The methodology is applied to a gold deposit with the goal of understanding its main differences to traditional approaches based on a deterministic modelling of the rock mass. The obtained results show the suitability of the methodology to characterise heterogeneous rock masses, since there were considerable differences between the results of the proposed methodology, mainly concerning the theoretical tunnel displacements, and the ones obtained with a traditional approach. |
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Modelling geotechnical heterogeneities using geostatistical simulation and finite differences analysis3D geological modelsgeotechnical modellinggeological heterogeneityuncertainty assessmentmechanical behaviour analysisScience & TechnologyModelling a rock mass in an accurate and realistic way allows researchers to reduce the uncertainty associated with its characterisation and reproduce the intrinsic spatial variability and heterogeneities present in the rock mass. However, there is often a lack of a structured methodology to characterise heterogeneous rock masses using geotechnical information available from the prospection phase. This paper presents a characterization methodology based on the geostatistical simulation of geotechnical variables and the application of a scenario reduction technique aimed at selecting a reduced number of realisations able to statistically represent a large set of realisations obtained by the geostatistical approach. This type of information is useful for a further rock mass behaviour analysis. The methodology is applied to a gold deposit with the goal of understanding its main differences to traditional approaches based on a deterministic modelling of the rock mass. The obtained results show the suitability of the methodology to characterise heterogeneous rock masses, since there were considerable differences between the results of the proposed methodology, mainly concerning the theoretical tunnel displacements, and the ones obtained with a traditional approach.This research work has been developed in the scope of the Doctoral Programme in Civil Engineering at the University of Minho, Portugal. It was supported by the Portuguese Science and Technology Foundation (FCT), under grant No. SFRH/BD/89627/2012 inserted in the LNEC project named P2I-RockGeoStat, and by the Chilean Commission for Scientific and Technological Research, under grant CONICYT/FONDECYT/REGULAR/N◦1170101.info:eu-repo/semantics/publishedVersionMultidisciplinary Digital Publishing InstituteUniversidade do MinhoPinheiro, MarisaEmery, XavierMiranda, TiagoLamas, LuísEspada, Margarida2018-02-072018-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/60055eng2075-163X10.3390/min8020052info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:17:45Zoai:repositorium.sdum.uminho.pt:1822/60055Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:10:25.381321Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Modelling geotechnical heterogeneities using geostatistical simulation and finite differences analysis |
title |
Modelling geotechnical heterogeneities using geostatistical simulation and finite differences analysis |
spellingShingle |
Modelling geotechnical heterogeneities using geostatistical simulation and finite differences analysis Pinheiro, Marisa 3D geological models geotechnical modelling geological heterogeneity uncertainty assessment mechanical behaviour analysis Science & Technology |
title_short |
Modelling geotechnical heterogeneities using geostatistical simulation and finite differences analysis |
title_full |
Modelling geotechnical heterogeneities using geostatistical simulation and finite differences analysis |
title_fullStr |
Modelling geotechnical heterogeneities using geostatistical simulation and finite differences analysis |
title_full_unstemmed |
Modelling geotechnical heterogeneities using geostatistical simulation and finite differences analysis |
title_sort |
Modelling geotechnical heterogeneities using geostatistical simulation and finite differences analysis |
author |
Pinheiro, Marisa |
author_facet |
Pinheiro, Marisa Emery, Xavier Miranda, Tiago Lamas, Luís Espada, Margarida |
author_role |
author |
author2 |
Emery, Xavier Miranda, Tiago Lamas, Luís Espada, Margarida |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Pinheiro, Marisa Emery, Xavier Miranda, Tiago Lamas, Luís Espada, Margarida |
dc.subject.por.fl_str_mv |
3D geological models geotechnical modelling geological heterogeneity uncertainty assessment mechanical behaviour analysis Science & Technology |
topic |
3D geological models geotechnical modelling geological heterogeneity uncertainty assessment mechanical behaviour analysis Science & Technology |
description |
Modelling a rock mass in an accurate and realistic way allows researchers to reduce the uncertainty associated with its characterisation and reproduce the intrinsic spatial variability and heterogeneities present in the rock mass. However, there is often a lack of a structured methodology to characterise heterogeneous rock masses using geotechnical information available from the prospection phase. This paper presents a characterization methodology based on the geostatistical simulation of geotechnical variables and the application of a scenario reduction technique aimed at selecting a reduced number of realisations able to statistically represent a large set of realisations obtained by the geostatistical approach. This type of information is useful for a further rock mass behaviour analysis. The methodology is applied to a gold deposit with the goal of understanding its main differences to traditional approaches based on a deterministic modelling of the rock mass. The obtained results show the suitability of the methodology to characterise heterogeneous rock masses, since there were considerable differences between the results of the proposed methodology, mainly concerning the theoretical tunnel displacements, and the ones obtained with a traditional approach. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-02-07 2018-02-07T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/60055 |
url |
http://hdl.handle.net/1822/60055 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2075-163X 10.3390/min8020052 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132533413117952 |