A Takagi-Sugeno fuzzy model for predicting the clean rock joints shear strength

Detalhes bibliográficos
Autor(a) principal: Matos,Yago Machado Pereira de
Data de Publicação: 2019
Outros Autores: Dantas Neto,Silvrano Adonias, Barreto,Guilherme de Alencar
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=S2448-167X2019000300193
Resumo: Abstract It is well known that learning about the mechanical behavior of a fractured rock mass depends on the shear behavior of its discontinuities. Several studies have shown that the shear behavior of unfilled rock discontinuities depends on their boundary conditions, roughness characteristics and the properties of the joints walls. Currently, there are several analytical models that can be used to predict the shear behavior of clean rock joints. However, they are all purely deterministic in nature because their input variables are defined without considering the uncertainties inherent in the formative process of the rock mass and the discontinuity itself, i.e., they need an auxiliary tool to consider the variability of their parameters such as the Monte Carlo or Point Estimation Methods. Therefore, the purpose of this article is to present a model to predict the shear strength of clean rock joints incorporating uncertainties in the variables that govern their shear behavior with a zero-order Takagi-Sugeno fuzzy controller. The model is developed based on the results of 44 direct shear tests carried out on different joints. The model input variables are the normal boundary stiffness and initial normal stress acting on the joint, its roughness expressed by the JRC value, the uniaxial compressive strength and basic friction angle of the intact rock, as well as the shear displacement imposed on the joint. The results showed that the predicted shear strength of clean rock joints obtained by the fuzzy model fit the experimental data satisfactorily and helped define the shear behavior of the discontinuity.
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spelling A Takagi-Sugeno fuzzy model for predicting the clean rock joints shear strengthclean rock jointsshear strengthfuzzy setTakagi-SugenoAbstract It is well known that learning about the mechanical behavior of a fractured rock mass depends on the shear behavior of its discontinuities. Several studies have shown that the shear behavior of unfilled rock discontinuities depends on their boundary conditions, roughness characteristics and the properties of the joints walls. Currently, there are several analytical models that can be used to predict the shear behavior of clean rock joints. However, they are all purely deterministic in nature because their input variables are defined without considering the uncertainties inherent in the formative process of the rock mass and the discontinuity itself, i.e., they need an auxiliary tool to consider the variability of their parameters such as the Monte Carlo or Point Estimation Methods. Therefore, the purpose of this article is to present a model to predict the shear strength of clean rock joints incorporating uncertainties in the variables that govern their shear behavior with a zero-order Takagi-Sugeno fuzzy controller. The model is developed based on the results of 44 direct shear tests carried out on different joints. The model input variables are the normal boundary stiffness and initial normal stress acting on the joint, its roughness expressed by the JRC value, the uniaxial compressive strength and basic friction angle of the intact rock, as well as the shear displacement imposed on the joint. The results showed that the predicted shear strength of clean rock joints obtained by the fuzzy model fit the experimental data satisfactorily and helped define the shear behavior of the discontinuity.Fundação Gorceix2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000300193REM - International Engineering Journal v.72 n.2 2019reponame:REM - International Engineering Journalinstname:Fundação Gorceix (FG)instacron:FG10.1590/0370-44672018720083info:eu-repo/semantics/openAccessMatos,Yago Machado Pereira deDantas Neto,Silvrano AdoniasBarreto,Guilherme de Alencareng2019-03-19T00:00:00Zoai:scielo:S2448-167X2019000300193Revistahttps://www.rem.com.br/?lang=pt-brPRIhttps://old.scielo.br/oai/scielo-oai.php||editor@rem.com.br2448-167X2448-167Xopendoar:2019-03-19T00:00REM - International Engineering Journal - Fundação Gorceix (FG)false
dc.title.none.fl_str_mv A Takagi-Sugeno fuzzy model for predicting the clean rock joints shear strength
title A Takagi-Sugeno fuzzy model for predicting the clean rock joints shear strength
spellingShingle A Takagi-Sugeno fuzzy model for predicting the clean rock joints shear strength
Matos,Yago Machado Pereira de
clean rock joints
shear strength
fuzzy set
Takagi-Sugeno
title_short A Takagi-Sugeno fuzzy model for predicting the clean rock joints shear strength
title_full A Takagi-Sugeno fuzzy model for predicting the clean rock joints shear strength
title_fullStr A Takagi-Sugeno fuzzy model for predicting the clean rock joints shear strength
title_full_unstemmed A Takagi-Sugeno fuzzy model for predicting the clean rock joints shear strength
title_sort A Takagi-Sugeno fuzzy model for predicting the clean rock joints shear strength
author Matos,Yago Machado Pereira de
author_facet Matos,Yago Machado Pereira de
Dantas Neto,Silvrano Adonias
Barreto,Guilherme de Alencar
author_role author
author2 Dantas Neto,Silvrano Adonias
Barreto,Guilherme de Alencar
author2_role author
author
dc.contributor.author.fl_str_mv Matos,Yago Machado Pereira de
Dantas Neto,Silvrano Adonias
Barreto,Guilherme de Alencar
dc.subject.por.fl_str_mv clean rock joints
shear strength
fuzzy set
Takagi-Sugeno
topic clean rock joints
shear strength
fuzzy set
Takagi-Sugeno
description Abstract It is well known that learning about the mechanical behavior of a fractured rock mass depends on the shear behavior of its discontinuities. Several studies have shown that the shear behavior of unfilled rock discontinuities depends on their boundary conditions, roughness characteristics and the properties of the joints walls. Currently, there are several analytical models that can be used to predict the shear behavior of clean rock joints. However, they are all purely deterministic in nature because their input variables are defined without considering the uncertainties inherent in the formative process of the rock mass and the discontinuity itself, i.e., they need an auxiliary tool to consider the variability of their parameters such as the Monte Carlo or Point Estimation Methods. Therefore, the purpose of this article is to present a model to predict the shear strength of clean rock joints incorporating uncertainties in the variables that govern their shear behavior with a zero-order Takagi-Sugeno fuzzy controller. The model is developed based on the results of 44 direct shear tests carried out on different joints. The model input variables are the normal boundary stiffness and initial normal stress acting on the joint, its roughness expressed by the JRC value, the uniaxial compressive strength and basic friction angle of the intact rock, as well as the shear displacement imposed on the joint. The results showed that the predicted shear strength of clean rock joints obtained by the fuzzy model fit the experimental data satisfactorily and helped define the shear behavior of the discontinuity.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-01
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=S2448-167X2019000300193
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000300193
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0370-44672018720083
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.72 n.2 2019
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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