Numerical Solutions for Chloride Diffusion Fluctuation in RC Elements from Corrosion Probability Assessments

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversity of Coimbra-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorZacchei, Enrico-
Autor(es): dc.creatorNogueira, Caio Gorla-
Data de aceite: dc.date.accessioned2025-08-21T19:17:30Z-
Data de disponibilização: dc.date.available2025-08-21T19:17:30Z-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2022-08-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/buildings12081211-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/241613-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/241613-
Descrição: dc.descriptionMechanical diffusion of chloride ions in reinforced concrete (RC) structures varies in time and space, and depends on uncertain factors such as material properties, temperature, humidity, and aging. In this paper, different scenarios considering the time of corrosion initiation and the influence of the chloride diffusion coefficient for different loadings (i.e., constant, sinusoidal, Gaussian, and random) were proposed. Stochastic analyses were carried out to estimate the probability of failure of steel bars, and to evaluate the influences of the internal and external factors. Advanced numerical solutions were developed to account for these influences under non-constant diffusion coefficient and non-steady-state condition. Results show that the chloride content can assume low values by using the oscillations of the generic function (e.g., sinusoidal and general) instead of constant function. The influence of the temperature appears relevant. The 3D analyses, considering the random variability, show that chloride content can be higher than ~1.50 compared to chloride content using traditional approaches. Stochastic approaches plus advanced solutions allow, in a more complete way, the sustainability decision-making process during the design phase, maintenance, inspections, and repair.-
Descrição: dc.descriptionCERIS (Civil Engineering Research and Innovation for Sustainability) University of Coimbra-
Descrição: dc.descriptionSchool of Civil Engineering of Bauru São Paulo State University (UNESP), 14-01 Eng. Luís Edmundo Carrijo Coube Avenue-
Descrição: dc.descriptionSchool of Civil Engineering of Bauru São Paulo State University (UNESP), 14-01 Eng. Luís Edmundo Carrijo Coube Avenue-
Idioma: dc.languageen-
Relação: dc.relationBuildings-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectchloride diffusion-
Palavras-chave: dc.subjectfirst order reliability method-
Palavras-chave: dc.subjectMonte Carlo simulation-
Palavras-chave: dc.subjectnon-constant diffusivity-
Palavras-chave: dc.subjectnumerical solutions-
Título: dc.titleNumerical Solutions for Chloride Diffusion Fluctuation in RC Elements from Corrosion Probability Assessments-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.