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Power Spectral Density method performance in detecting damages by chloride attack on coastal RC bridge

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Power Spectral Density method performance in detecting damages by chloride attack on coastal RC bridge

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dc.contributor.author Hadizadeh-Bazaz, Mehrdad es_ES
dc.contributor.author Navarro, Ignacio J. es_ES
dc.contributor.author Yepes, V. es_ES
dc.date.accessioned 2023-03-02T19:01:27Z
dc.date.available 2023-03-02T19:01:27Z
dc.date.issued 2023-01-25 es_ES
dc.identifier.issn 1225-4568 es_ES
dc.identifier.uri http://hdl.handle.net/10251/192249
dc.description.abstract [EN] The deterioration caused by chloride penetration and carbonation plays a significant role in a concrete structure in a marine environment. The chloride corrosion in some marine concrete structures is invisible but can be dangerous in a sudden collapse. Therefore, as a novelty, this research investigates the ability of a non-destructive damage detection method named the Power Spectral Density (PSD) to diagnose damages caused only by chloride ions in concrete structures. Furthermore, the accuracy of this method in estimating the amount of annual damage caused by chloride in various parts and positions exposed to seawater was investigated. For this purpose, the RC Arosa bridge in Spain, which connects the island to the mainland via seawater, was numerically modeled and analyzed. As the first step, each element's bridge position was calculated, along with the chloride corrosion percentage in the reinforcements. The next step predicted the existence, location, and timing of damage to the entire concrete part of the bridge based on the amount of rebar corrosion each year. The PSD method was used to monitor the annual loss of reinforcement cross-section area, changes in dynamic characteristics such as stiffness and mass, and each year of the bridge structure's life using sensitivity equations and the linear least squares algorithm. This study showed that using different approaches to the PSD method based on rebar chloride corrosion and assuming 10% errors in software analysis can help predict the location and almost exact amount of damage zones over time. es_ES
dc.description.sponsorship Grant PID2020-117056RB-I00 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe" es_ES
dc.language Inglés es_ES
dc.publisher Techno-Press es_ES
dc.relation.ispartof Structural Engineering and Mechanics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Damage identification es_ES
dc.subject Concrete bridge es_ES
dc.subject Chloride attack es_ES
dc.subject Steel corrosion es_ES
dc.subject Power Spectral Density method (PSD) es_ES
dc.subject Non-destructive technique es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.title Power Spectral Density method performance in detecting damages by chloride attack on coastal RC bridge es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.12989/sem.2023.85.2.197 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117056RB-I00/ES/OPTIMIZACION HIBRIDA DEL CICLO DE VIDA DE PUENTES Y ESTRUCTURAS MIXTAS Y MODULARES DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO PRESUPUESTOS RESTRICTIVOS/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports es_ES
dc.description.bibliographicCitation Hadizadeh-Bazaz, M.; Navarro, IJ.; Yepes, V. (2023). Power Spectral Density method performance in detecting damages by chloride attack on coastal RC bridge. Structural Engineering and Mechanics. 85(2):197-206. https://doi.org/10.12989/sem.2023.85.2.197 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.12989/sem.2023.85.2.197 es_ES
dc.description.upvformatpinicio 197 es_ES
dc.description.upvformatpfin 206 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 85 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\481293 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES


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