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dc.contributor.author | Martínez-Ibernón, Ana | es_ES |
dc.contributor.author | Lliso-Ferrando, Josep Ramon | es_ES |
dc.contributor.author | Gasch, Isabel | es_ES |
dc.contributor.author | Valcuende Payá, Manuel Octavio | es_ES |
dc.date.accessioned | 2023-02-17T19:00:17Z | |
dc.date.available | 2023-02-17T19:00:17Z | |
dc.date.issued | 2022-10 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/191899 | |
dc.description.abstract | [EN] Reinforced concrete structures' (RCSs) ageing and early deterioration are some of the main challenges faced by the building sector today, and steel bar corrosion is one of the main problems. In this phenomenon, water and concrete¿s electric resistivity play a fundamental role. Therefore, developing sensor systems capable of estimating any variations in these parameters in real time and remotely would represent considerable progress in sustainably maintaining RCSs. Many types of sensors capable of estimating humidity variation and electrical resistivity in concrete currently exist, but the variability of these sensors¿ sensitivity can be extreme depending on several factors; for example, temperature or presence of ions and their incorporation into smart monitoring systems, which is difficult. As an alternative to today¿s sensors, this study centered on developing two estimation models by means of the response of a novel voltammetric stainless steel (SS) sensor. The estimation models were one of humidity variation and another of concrete¿s electric resistivity. These models were calibrated, fitted and validated. In the validation, both these models explained a percentage of variance over 80%. | es_ES |
dc.description.sponsorship | The authors wish to thank the Spanish Ministry of Science and Innovation for the predoctoral scholarship granted to Ana Martinez Ibernon (FPU 16/00723), and the Spanish Government for Grant PID2020-119744RB-C21 funded by MCIN/AEI/10.13039/501100011033. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Sensors | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Voltammetric sensors | es_ES |
dc.subject | Monitoring structures | es_ES |
dc.subject | Humidity estimation | es_ES |
dc.subject | Electrical resistivity | es_ES |
dc.subject | Corrosion | es_ES |
dc.subject.classification | CONSTRUCCIONES ARQUITECTONICAS | es_ES |
dc.subject.classification | MECANICA DE LOS MEDIOS CONTINUOS Y TEORIA DE ESTRUCTURAS | es_ES |
dc.title | Estimation of Humidity Variation and Electric Resistivity in Hardened Concrete by Means of a Stainless Steel Voltammetric Sensor | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/s22197279 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119744RB-C21/ES/MONITORIZACION INTELIGENTE PARA REDUCIR LA INCERTIDUMBRE EN LA VIDA UTIL: SENSORES DE CORROSION POTENCIOSTATICOS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MECD//FPU16%2F00723/ES/FPU16%2F00723/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Arquitectura - Escola Tècnica Superior d'Arquitectura | es_ES |
dc.description.bibliographicCitation | Martínez-Ibernón, A.; Lliso-Ferrando, JR.; Gasch, I.; Valcuende Payá, MO. (2022). Estimation of Humidity Variation and Electric Resistivity in Hardened Concrete by Means of a Stainless Steel Voltammetric Sensor. Sensors. 22(19):1-15. https://doi.org/10.3390/s22197279 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/s22197279 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 15 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 22 | es_ES |
dc.description.issue | 19 | es_ES |
dc.identifier.eissn | 1424-8220 | es_ES |
dc.identifier.pmid | 36236378 | es_ES |
dc.identifier.pmcid | PMC9573441 | es_ES |
dc.relation.pasarela | S\472201 | es_ES |
dc.contributor.funder | MINISTERIO DE EDUCACION | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |