Corrosion Assessment in Reinforced Concrete Structures by Means of Embedded Sensors and Multivariate Analysis Part 2: Implementation

[EN] The economic cost of repairing corrosion-affected reinforced concrete structures (RCSs) means that reliable and accurate assessment and early detection methods must be sought after. Conventional techniques, such as visual inspections, or measuring either cover layer resistivity or the corrosion...

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Autores: Lliso-Ferrando, Josep Ramon|||0000-0002-2457-9024, Martínez-Ibernón, Ana|||0000-0003-2136-5650, Gandía-Romero, Jose M.|||0000-0003-0257-3286, Ramón Zamora, José Enrique
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/214592
Acceso en línea:https://riunet.upv.es/handle/10251/214592
Access Level:acceso abierto
Palabra clave:Reinforced concrete structures
Corrosion
Structural health monitoring
Structural management
Sensors
Remote sensing
Corrosion monitoring
Multivariate analysis
CONSTRUCCIONES ARQUITECTONICAS
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spelling Corrosion Assessment in Reinforced Concrete Structures by Means of Embedded Sensors and Multivariate Analysis Part 2: ImplementationLliso-Ferrando, Josep Ramon|||0000-0002-2457-9024Martínez-Ibernón, Ana|||0000-0003-2136-5650Gandía-Romero, Jose M.|||0000-0003-0257-3286Ramón Zamora, José EnriqueReinforced concrete structuresCorrosionStructural health monitoringStructural managementSensorsRemote sensingCorrosion monitoringMultivariate analysisCONSTRUCCIONES ARQUITECTONICAS[EN] The economic cost of repairing corrosion-affected reinforced concrete structures (RCSs) means that reliable and accurate assessment and early detection methods must be sought after. Conventional techniques, such as visual inspections, or measuring either cover layer resistivity or the corrosion potential, are methods that require accessibility and involve personnel having to travel to take in situ measurements. Monitoring by embedded sensors is a much more efficient approach that allows early detection by remote sensing. This work presents the implementation of a new measurement protocol regarding the existing monitoring system called INESSCOM (Integrated Sensor Network for Smart Corrosion Monitoring). Along with the corrosion intensity measurement in embedded sensors, it also proposes monitoring the double layer capacity of the sensors¿ responses. It aims to determine, along with the rebars¿ corrosion rate, the triggering agent of the corrosion process. This study was carried out using three reinforced concrete scaled columns that were exposed to different environments. The results demonstrate with this new protocol that the remote INESSCOM monitoring system can establish the corrosion rate and identify the precursor agent of corrosion (carbonation or chlorides), even when the recorded corrosion rates are similar.The authors thank the Spanish Government for Grant PID2020-119744RB-C21 funded by MCIN/AEI/10.13039/501100011033, and the support of the Universitat Politècnica de València. They are also grateful for the predoctoral scholarship granted to Josep Ramon Lliso Ferrando as part of the Formación de Personal Investigador programme from the Universitat Politècnica de València (FPI-UPV-2018). They are also grateful for the postdoctoral mobility scholarship granted to Josep Ramon Lliso Ferrando from Generalitat Valenciana (CIBEST/2023/83).MDPI AGDepartamento de Construcciones ArquitectónicasEscuela Técnica Superior de ArquitecturaEscuela Técnica Superior de Ingeniería de EdificaciónInstituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo TecnológicoGeneralitat ValencianaAGENCIA ESTATAL DE INVESTIGACIONUniversitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20242024-10-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/214592reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-119744RB-C21 MONITORIZACION INTELIGENTE PARA REDUCIR LA INCERTIDUMBRE EN LA VIDA UTIL: SENSORES DE CORROSION POTENCIOSTATICOSGeneralitat Valenciana https://doi.org/10.13039/501100003359 CIBEST%2F2023%2F83open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2145922026-06-13T07:49:27Z
dc.title.none.fl_str_mv Corrosion Assessment in Reinforced Concrete Structures by Means of Embedded Sensors and Multivariate Analysis Part 2: Implementation
title Corrosion Assessment in Reinforced Concrete Structures by Means of Embedded Sensors and Multivariate Analysis Part 2: Implementation
spellingShingle Corrosion Assessment in Reinforced Concrete Structures by Means of Embedded Sensors and Multivariate Analysis Part 2: Implementation
Lliso-Ferrando, Josep Ramon|||0000-0002-2457-9024
Reinforced concrete structures
Corrosion
Structural health monitoring
Structural management
Sensors
Remote sensing
Corrosion monitoring
Multivariate analysis
CONSTRUCCIONES ARQUITECTONICAS
title_short Corrosion Assessment in Reinforced Concrete Structures by Means of Embedded Sensors and Multivariate Analysis Part 2: Implementation
title_full Corrosion Assessment in Reinforced Concrete Structures by Means of Embedded Sensors and Multivariate Analysis Part 2: Implementation
title_fullStr Corrosion Assessment in Reinforced Concrete Structures by Means of Embedded Sensors and Multivariate Analysis Part 2: Implementation
title_full_unstemmed Corrosion Assessment in Reinforced Concrete Structures by Means of Embedded Sensors and Multivariate Analysis Part 2: Implementation
title_sort Corrosion Assessment in Reinforced Concrete Structures by Means of Embedded Sensors and Multivariate Analysis Part 2: Implementation
dc.creator.none.fl_str_mv Lliso-Ferrando, Josep Ramon|||0000-0002-2457-9024
Martínez-Ibernón, Ana|||0000-0003-2136-5650
Gandía-Romero, Jose M.|||0000-0003-0257-3286
Ramón Zamora, José Enrique
author Lliso-Ferrando, Josep Ramon|||0000-0002-2457-9024
author_facet Lliso-Ferrando, Josep Ramon|||0000-0002-2457-9024
Martínez-Ibernón, Ana|||0000-0003-2136-5650
Gandía-Romero, Jose M.|||0000-0003-0257-3286
Ramón Zamora, José Enrique
author_role author
author2 Martínez-Ibernón, Ana|||0000-0003-2136-5650
Gandía-Romero, Jose M.|||0000-0003-0257-3286
Ramón Zamora, José Enrique
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Construcciones Arquitectónicas
Escuela Técnica Superior de Arquitectura
Escuela Técnica Superior de Ingeniería de Edificación
Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico
Generalitat Valenciana
AGENCIA ESTATAL DE INVESTIGACION
Universitat Politècnica de València
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Reinforced concrete structures
Corrosion
Structural health monitoring
Structural management
Sensors
Remote sensing
Corrosion monitoring
Multivariate analysis
CONSTRUCCIONES ARQUITECTONICAS
topic Reinforced concrete structures
Corrosion
Structural health monitoring
Structural management
Sensors
Remote sensing
Corrosion monitoring
Multivariate analysis
CONSTRUCCIONES ARQUITECTONICAS
description [EN] The economic cost of repairing corrosion-affected reinforced concrete structures (RCSs) means that reliable and accurate assessment and early detection methods must be sought after. Conventional techniques, such as visual inspections, or measuring either cover layer resistivity or the corrosion potential, are methods that require accessibility and involve personnel having to travel to take in situ measurements. Monitoring by embedded sensors is a much more efficient approach that allows early detection by remote sensing. This work presents the implementation of a new measurement protocol regarding the existing monitoring system called INESSCOM (Integrated Sensor Network for Smart Corrosion Monitoring). Along with the corrosion intensity measurement in embedded sensors, it also proposes monitoring the double layer capacity of the sensors¿ responses. It aims to determine, along with the rebars¿ corrosion rate, the triggering agent of the corrosion process. This study was carried out using three reinforced concrete scaled columns that were exposed to different environments. The results demonstrate with this new protocol that the remote INESSCOM monitoring system can establish the corrosion rate and identify the precursor agent of corrosion (carbonation or chlorides), even when the recorded corrosion rates are similar.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-10-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/214592
url https://riunet.upv.es/handle/10251/214592
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-119744RB-C21 MONITORIZACION INTELIGENTE PARA REDUCIR LA INCERTIDUMBRE EN LA VIDA UTIL: SENSORES DE CORROSION POTENCIOSTATICOS
Generalitat Valenciana https://doi.org/10.13039/501100003359 CIBEST%2F2023%2F83
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812455

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