A Monte Carlo-Based Approach to Assess the Reinforcement Depassivation Probability of RC Structures: Simulation and Analysis
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/buildings13040993 http://hdl.handle.net/11449/247286 |
Resumo: | In this work, an approach is presented to assess the reinforcement depassivation probability of reinforced concrete structures under corrosion induced by carbonation or chloride diffusion. The model consists of coupling mathematical formulations of CO2 and Cl− diffusion with Monte Carlo simulation (MCS). Random events were generated using MCS to create several design life and environmental scenarios. A case study was performed by simulating five Brazilian environmental conditions and distinct mixes of concrete. The effect of input parameters on the reinforcement concrete depassivation probability was evaluated. The results point out that the depassivation probability due to carbonation is more significant in urban centers, and the compressive strength of concrete has the main influence on the depassivation probability. Results also showed that the depassivation probability due to chloride ingress is influenced by, in order of importance, the chloride content on the surface (61.4%), concrete cover (20.3%), compressive strength (7.1%), relative humidity (6.1%), and temperature (5.1%). In addition, an increase in the compressive strength of concrete, from 30 to 50 MPa, can reduce depassivation probability by up to 70%, resulting in a concrete structure that attends the durability limit state. Thus, by incorporating probabilistic approaches, this model can be a valuable tool in the civil construction industry for studying the improvement of durability, reliability, and safety of reinforced concrete structures. |
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A Monte Carlo-Based Approach to Assess the Reinforcement Depassivation Probability of RC Structures: Simulation and Analysischloride diffusionconcrete carbonationdurability limit stateMonte Carlo simulationIn this work, an approach is presented to assess the reinforcement depassivation probability of reinforced concrete structures under corrosion induced by carbonation or chloride diffusion. The model consists of coupling mathematical formulations of CO2 and Cl− diffusion with Monte Carlo simulation (MCS). Random events were generated using MCS to create several design life and environmental scenarios. A case study was performed by simulating five Brazilian environmental conditions and distinct mixes of concrete. The effect of input parameters on the reinforcement concrete depassivation probability was evaluated. The results point out that the depassivation probability due to carbonation is more significant in urban centers, and the compressive strength of concrete has the main influence on the depassivation probability. Results also showed that the depassivation probability due to chloride ingress is influenced by, in order of importance, the chloride content on the surface (61.4%), concrete cover (20.3%), compressive strength (7.1%), relative humidity (6.1%), and temperature (5.1%). In addition, an increase in the compressive strength of concrete, from 30 to 50 MPa, can reduce depassivation probability by up to 70%, resulting in a concrete structure that attends the durability limit state. Thus, by incorporating probabilistic approaches, this model can be a valuable tool in the civil construction industry for studying the improvement of durability, reliability, and safety of reinforced concrete structures.Department of Civil Engineering Faculty of Engineering and Sciences São Paulo State UniversityDepartment of Structural Engineering São Carlos School of Engineering University of São PauloLatin American Institute of Technology Infrastructure and Territory Federal University of Latin American IntegrationDepartment of Civil Engineering Faculty of Engineering and Sciences São Paulo State UniversityUniversidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)Federal University of Latin American IntegrationFélix, Emerson Felipe [UNESP]Falcão, Isabela da Silva [UNESP]dos Santos, Larissa Gabriela [UNESP]Carrazedo, RogérioPossan, Edna2023-07-29T13:11:56Z2023-07-29T13:11:56Z2023-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/buildings13040993Buildings, v. 13, n. 4, 2023.2075-5309http://hdl.handle.net/11449/24728610.3390/buildings130409932-s2.0-85156100131Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBuildingsinfo:eu-repo/semantics/openAccess2023-07-29T13:11:56Zoai:repositorio.unesp.br:11449/247286Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:00:55.666227Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A Monte Carlo-Based Approach to Assess the Reinforcement Depassivation Probability of RC Structures: Simulation and Analysis |
title |
A Monte Carlo-Based Approach to Assess the Reinforcement Depassivation Probability of RC Structures: Simulation and Analysis |
spellingShingle |
A Monte Carlo-Based Approach to Assess the Reinforcement Depassivation Probability of RC Structures: Simulation and Analysis Félix, Emerson Felipe [UNESP] chloride diffusion concrete carbonation durability limit state Monte Carlo simulation |
title_short |
A Monte Carlo-Based Approach to Assess the Reinforcement Depassivation Probability of RC Structures: Simulation and Analysis |
title_full |
A Monte Carlo-Based Approach to Assess the Reinforcement Depassivation Probability of RC Structures: Simulation and Analysis |
title_fullStr |
A Monte Carlo-Based Approach to Assess the Reinforcement Depassivation Probability of RC Structures: Simulation and Analysis |
title_full_unstemmed |
A Monte Carlo-Based Approach to Assess the Reinforcement Depassivation Probability of RC Structures: Simulation and Analysis |
title_sort |
A Monte Carlo-Based Approach to Assess the Reinforcement Depassivation Probability of RC Structures: Simulation and Analysis |
author |
Félix, Emerson Felipe [UNESP] |
author_facet |
Félix, Emerson Felipe [UNESP] Falcão, Isabela da Silva [UNESP] dos Santos, Larissa Gabriela [UNESP] Carrazedo, Rogério Possan, Edna |
author_role |
author |
author2 |
Falcão, Isabela da Silva [UNESP] dos Santos, Larissa Gabriela [UNESP] Carrazedo, Rogério Possan, Edna |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade de São Paulo (USP) Federal University of Latin American Integration |
dc.contributor.author.fl_str_mv |
Félix, Emerson Felipe [UNESP] Falcão, Isabela da Silva [UNESP] dos Santos, Larissa Gabriela [UNESP] Carrazedo, Rogério Possan, Edna |
dc.subject.por.fl_str_mv |
chloride diffusion concrete carbonation durability limit state Monte Carlo simulation |
topic |
chloride diffusion concrete carbonation durability limit state Monte Carlo simulation |
description |
In this work, an approach is presented to assess the reinforcement depassivation probability of reinforced concrete structures under corrosion induced by carbonation or chloride diffusion. The model consists of coupling mathematical formulations of CO2 and Cl− diffusion with Monte Carlo simulation (MCS). Random events were generated using MCS to create several design life and environmental scenarios. A case study was performed by simulating five Brazilian environmental conditions and distinct mixes of concrete. The effect of input parameters on the reinforcement concrete depassivation probability was evaluated. The results point out that the depassivation probability due to carbonation is more significant in urban centers, and the compressive strength of concrete has the main influence on the depassivation probability. Results also showed that the depassivation probability due to chloride ingress is influenced by, in order of importance, the chloride content on the surface (61.4%), concrete cover (20.3%), compressive strength (7.1%), relative humidity (6.1%), and temperature (5.1%). In addition, an increase in the compressive strength of concrete, from 30 to 50 MPa, can reduce depassivation probability by up to 70%, resulting in a concrete structure that attends the durability limit state. Thus, by incorporating probabilistic approaches, this model can be a valuable tool in the civil construction industry for studying the improvement of durability, reliability, and safety of reinforced concrete structures. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T13:11:56Z 2023-07-29T13:11:56Z 2023-04-01 |
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://dx.doi.org/10.3390/buildings13040993 Buildings, v. 13, n. 4, 2023. 2075-5309 http://hdl.handle.net/11449/247286 10.3390/buildings13040993 2-s2.0-85156100131 |
url |
http://dx.doi.org/10.3390/buildings13040993 http://hdl.handle.net/11449/247286 |
identifier_str_mv |
Buildings, v. 13, n. 4, 2023. 2075-5309 10.3390/buildings13040993 2-s2.0-85156100131 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Buildings |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128885141798912 |