Abstract
Transport properties of ions have significant impact on the possibility of rebars corrosion thus the knowledge of a diffusion coefficient is important for reinforced concrete durability. Numerous tests for the determination of diffusion coefficients have been proposed but analysis of some of these tests show that they are too simplistic or even not valid. Hence, more rigorous models to calculate the coefficients should be employed. Here we propose the Nernst–Planck and Poisson equations, which take into account the concentration and electric potential field. Based on this model a special inverse method is presented for determination of a chloride diffusion coefficient. It requires the measurement of concentration profiles or flux on the boundary and solution of the NPP model to define the goal function. Finding the global minimum is equivalent to the determination of diffusion coefficients. Typical examples of the application of the presented method are given.
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Notes
In fact, we implicitly assume here one more equation. Namely, in the case, where there are no time changing magnetic fields we have \({\text{rot}}{\kern 1pt} {\mathbf{E}} = 0.\) From this equation in the 1D case \(\left( {{\mathbf{E}} = (E_{x} ,\,{\kern 1pt} 0,\,{\kern 1pt} 0)} \right)\) one can easily derive that \(E_{x}\) depends only on one space variable \(x:\) \(E_{x} = E_{x} (x,t).\)
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This work was supported by the Polish National Centre for Research and Development Grant No. K1/IN1/25/153217/NCBiR/12.
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This article is an invited submission to JMEP selected from presentations at the Symposium “Interface Design and Modelling,” belonging to the Topic “Joining and Interfaces” at the European Congress and Exhibition on Advanced Materials and Processes (EUROMAT 2015), held September 20-24, 2015, in Warsaw, Poland, and has been expanded from the original presentation.
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Szyszkiewicz-Warzecha, K., Jasielec, J.J., Fausek, J. et al. Determination of Diffusion Coefficients in Cement-Based Materials: An Inverse Problem for the Nernst–Planck and Poisson Models. J. of Materi Eng and Perform 25, 3291–3295 (2016). https://doi.org/10.1007/s11665-016-2167-4
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DOI: https://doi.org/10.1007/s11665-016-2167-4