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In this App, we developed several mathematical models predicting chloride penetration in concrete by employing a time-dependent diffusion coefficient for a number of analytical solutions of Fick’s second law. We also proposed calibrated models that consider a time-dependent build-up of the surface chloride concentration Cs. Comparisons of chloride profiles were made between analytical solutions and numerical solutions by MATLAB pdetool, which showed that our calibrated models considering a time-dependent surface chloride concentration could significantly improve the correlation compared to the conventional models employing a constant surface chloride concentration. It is concluded that this model can be applied for predicting chloride penetration and solving relevant service life problems resulting from chloride ingress in concrete.
Citation pour cette source
XIONG (2026). Experimental_data_pretreating_App (https://fr.mathworks.com/matlabcentral/fileexchange/116535-experimental_data_pretreating_app), MATLAB Central File Exchange. Extrait(e) le .
Informations générales
- Version 1.0 (53,9 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0 |
