Probabilistic corrosion time initiation modelling in reinforced concrete structures using the BEM
| Autor: | Edson Denner Leonel, Giovanni Pais Pellizzer |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
0211 other engineering and technologies 020101 civil engineering 02 engineering and technology 0201 civil engineering Corrosion ESTRUTURAS boundary element method Robustness (computer science) 021105 building & construction diffusion-like transport Diffusion (business) Boundary element method Randomness Building construction business.industry Probabilistic logic General Medicine Structural engineering Durability probabilistic modelling Transient (oscillation) chloride ingress business TH1-9745 |
| Zdroj: | Revista IBRACON de Estruturas e Materiais, Vol 13, Iss 4 (2020) Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP Revista IBRACON de Estruturas e Materiais v.13 n.4 2020 Revista IBRACON de Estruturas e Materiais Instituto Brasileiro do Concreto (IBRACON) instacron:IBRACON |
| ISSN: | 1983-4195 |
| Popis: | The reinforcement’s depassivation in reinforced concrete structures occurs when the chloride concentration at the reinforcement’s interface reaches the threshold content. The depassivation phenomenon starts the propagation period, in which huge mechanical degradation processes are triggered. Moreover, it is well established that the propagation period is considerably shorter than the initiation period. Therefore, the accurate prediction of the corrosion time initiation is a major issue in structural durability domain. This study presents a transient formulation based on the Boundary Element Method (BEM) for the corrosion time initiation assessment. The diffusion fields evaluated by the BEM are utilized into a probabilistic framework, which enables the assessment of probabilistic values for corrosion time initiation. Therefore, the formulation handles properly the uncertainties in this problem, which is largely subjected to randomness. Three applications are presented. The robustness and accuracy of the proposed approach over classical analytical models are highlighted. |
| Databáze: | OpenAIRE |
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