Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenarios

Detalhes bibliográficos
Autor(a) principal: Polemis Júnior,Konstantinos
Data de Publicação: 2021
Outros Autores: Silva Filho,Francisco Chagas da, Lima-Filho,Francisco Pinheiro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: REM - International Engineering Journal
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2021000100039
Resumo: Abstract The rock mass deformation modulus, Erm, is an input parameter for most numerical modeling to verify the deformation behavior of rocks due to rock engineering activities within/on it. Among the most common methodologies used for estimating this parameter, empirical correlations based on rock mass classification schemes (e.g., RQD, RMR, GSI, and Q) stand out the most, principally because of their low cost when compared to the other methods. Herein, the main correlations used in practice are evaluated and comparted for 48 different rock quality scenarios, previously characterized and classified according to rock mass classification systems. The results obtained by each of the empirical correlations demonstrated that normalized correlations, that is, based on the ratio of the rock mass and intact rock modulus, Erm/Ei, underestimate the Erm values when compared to those results obtained from not-normalized correlations in the scenarios of better quality rock masses. For poor quality rock mass scenarios, both non-normalized and normalized correlation presented similar results. The correlations proposed by Hoek and Diederichs (2006) and Galera et al. (2007) estimated more central Erm values when compared to the other correlations, for all quality scenarios, while the Mitri et al. (1994) and Sonmez et al. (2006) methods estimated most high and low values of Erm, respectively.
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spelling Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenariosdeformation modulusempirical methodsclassification schemesrock massesAbstract The rock mass deformation modulus, Erm, is an input parameter for most numerical modeling to verify the deformation behavior of rocks due to rock engineering activities within/on it. Among the most common methodologies used for estimating this parameter, empirical correlations based on rock mass classification schemes (e.g., RQD, RMR, GSI, and Q) stand out the most, principally because of their low cost when compared to the other methods. Herein, the main correlations used in practice are evaluated and comparted for 48 different rock quality scenarios, previously characterized and classified according to rock mass classification systems. The results obtained by each of the empirical correlations demonstrated that normalized correlations, that is, based on the ratio of the rock mass and intact rock modulus, Erm/Ei, underestimate the Erm values when compared to those results obtained from not-normalized correlations in the scenarios of better quality rock masses. For poor quality rock mass scenarios, both non-normalized and normalized correlation presented similar results. The correlations proposed by Hoek and Diederichs (2006) and Galera et al. (2007) estimated more central Erm values when compared to the other correlations, for all quality scenarios, while the Mitri et al. (1994) and Sonmez et al. (2006) methods estimated most high and low values of Erm, respectively.Fundação Gorceix2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2021000100039REM - International Engineering Journal v.74 n.1 2021reponame:REM - International Engineering Journalinstname:Fundação Gorceix (FG)instacron:FG10.1590/0370-44672019740150info:eu-repo/semantics/openAccessPolemis Júnior,KonstantinosSilva Filho,Francisco Chagas daLima-Filho,Francisco Pinheiroeng2021-01-11T00:00:00Zoai:scielo:S2448-167X2021000100039Revistahttps://www.rem.com.br/?lang=pt-brPRIhttps://old.scielo.br/oai/scielo-oai.php||editor@rem.com.br2448-167X2448-167Xopendoar:2021-01-11T00:00REM - International Engineering Journal - Fundação Gorceix (FG)false
dc.title.none.fl_str_mv Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenarios
title Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenarios
spellingShingle Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenarios
Polemis Júnior,Konstantinos
deformation modulus
empirical methods
classification schemes
rock masses
title_short Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenarios
title_full Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenarios
title_fullStr Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenarios
title_full_unstemmed Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenarios
title_sort Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenarios
author Polemis Júnior,Konstantinos
author_facet Polemis Júnior,Konstantinos
Silva Filho,Francisco Chagas da
Lima-Filho,Francisco Pinheiro
author_role author
author2 Silva Filho,Francisco Chagas da
Lima-Filho,Francisco Pinheiro
author2_role author
author
dc.contributor.author.fl_str_mv Polemis Júnior,Konstantinos
Silva Filho,Francisco Chagas da
Lima-Filho,Francisco Pinheiro
dc.subject.por.fl_str_mv deformation modulus
empirical methods
classification schemes
rock masses
topic deformation modulus
empirical methods
classification schemes
rock masses
description Abstract The rock mass deformation modulus, Erm, is an input parameter for most numerical modeling to verify the deformation behavior of rocks due to rock engineering activities within/on it. Among the most common methodologies used for estimating this parameter, empirical correlations based on rock mass classification schemes (e.g., RQD, RMR, GSI, and Q) stand out the most, principally because of their low cost when compared to the other methods. Herein, the main correlations used in practice are evaluated and comparted for 48 different rock quality scenarios, previously characterized and classified according to rock mass classification systems. The results obtained by each of the empirical correlations demonstrated that normalized correlations, that is, based on the ratio of the rock mass and intact rock modulus, Erm/Ei, underestimate the Erm values when compared to those results obtained from not-normalized correlations in the scenarios of better quality rock masses. For poor quality rock mass scenarios, both non-normalized and normalized correlation presented similar results. The correlations proposed by Hoek and Diederichs (2006) and Galera et al. (2007) estimated more central Erm values when compared to the other correlations, for all quality scenarios, while the Mitri et al. (1994) and Sonmez et al. (2006) methods estimated most high and low values of Erm, respectively.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2021000100039
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2021000100039
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0370-44672019740150
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Fundação Gorceix
publisher.none.fl_str_mv Fundação Gorceix
dc.source.none.fl_str_mv REM - International Engineering Journal v.74 n.1 2021
reponame:REM - International Engineering Journal
instname:Fundação Gorceix (FG)
instacron:FG
instname_str Fundação Gorceix (FG)
instacron_str FG
institution FG
reponame_str REM - International Engineering Journal
collection REM - International Engineering Journal
repository.name.fl_str_mv REM - International Engineering Journal - Fundação Gorceix (FG)
repository.mail.fl_str_mv ||editor@rem.com.br
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