Issue |
MATEC Web Conf.
Volume 364, 2022
International Conference on Concrete Repair, Rehabilitation and Retrofitting (ICCRRR 2022)
|
|
---|---|---|
Article Number | 02024 | |
Number of page(s) | 5 | |
Section | Concrete Durability Aspects - Modelling and Prevention of Reinforcement Corrosion | |
DOI | https://doi.org/10.1051/matecconf/202236402024 | |
Published online | 30 September 2022 |
Chloride profiles with a peak – why and what are the consequences for predictions?
1
Moistenginst AB, 23196 Trelleborg, Sweden
2
Laboratory of Building Materials, University of Lund, 22100 Lund, Sweden
* Corresponding author: lars.olof.nilsson@moistenginst.se
Chloride ingress profiles do almost always have a peak at some depth but most prediction models are missing this peak. Some prediction models, such as the fib model, simply “cut off” a slice of the concrete up to the peak in further predictions. Other prediction models use data only from the profiles beyond the peak but include the concrete up to the peak as if it has the same properties as the rest of the concrete. A physical model has been developed to quantify the local changes because of leaching and the consequences of these changes with time. The model uses Fick’s 1st law for chloride diffusion and linear chloride binding. The depth of leaching with time is modelled with a simple square-root equation. The consequences of leaching are assumed to be linear from the surface into the maximum depth of leaching. The consequences of leaching are modelled as depth-dependent changes of porosity, chloride binding and the diffusion coefficient in Fick’s first law.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.