Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenarios
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
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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REM - International Engineering Journal |
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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 |
_version_ |
1754734691854843904 |