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Modelling reinforcement corrosion - usability of a factorial approach for modelling resistivity of concrete
As part of the macro cell corrosion process of reinforcement steel, the resistivity of concrete plays a crucial role. In order to investigate the influence parameters on the resistivity of concrete, the results of a discrete quantification were presented and implemented into a factorial approach for modelling corrosion propagation. First results delivered significant deviations from values obtained by measuring. Using Gauss' method of least mean squares provided a decrease in deviations. The hereby obtained deviations were lower than the scatter of the measuring results. A usability of the proposed factorial approach could therefore be approved. The results show that the tendencies of the influences which were reported in literature could be approved. In general, the moisture content of the concrete has been found as the main influence factor on the resistivity. Concerning the concrete mixture, the strongest influence on the resistivity was observed by varying the cement type in this assay. Here, increasing the amount of pozzolanic contents was accompanied by a strong increase in resistivity. Further, a testing of the introduced factorial approach for modelling the resistivity in concrete was performed. The verification of the testing procedure was done by comparing the results of the factorial approach to those which were obtained by measuring. The usability of the approach was affirmed after using Gauss' method of least mean squares in order to minimize the received errors.
Modelling reinforcement corrosion - usability of a factorial approach for modelling resistivity of concrete
As part of the macro cell corrosion process of reinforcement steel, the resistivity of concrete plays a crucial role. In order to investigate the influence parameters on the resistivity of concrete, the results of a discrete quantification were presented and implemented into a factorial approach for modelling corrosion propagation. First results delivered significant deviations from values obtained by measuring. Using Gauss' method of least mean squares provided a decrease in deviations. The hereby obtained deviations were lower than the scatter of the measuring results. A usability of the proposed factorial approach could therefore be approved. The results show that the tendencies of the influences which were reported in literature could be approved. In general, the moisture content of the concrete has been found as the main influence factor on the resistivity. Concerning the concrete mixture, the strongest influence on the resistivity was observed by varying the cement type in this assay. Here, increasing the amount of pozzolanic contents was accompanied by a strong increase in resistivity. Further, a testing of the introduced factorial approach for modelling the resistivity in concrete was performed. The verification of the testing procedure was done by comparing the results of the factorial approach to those which were obtained by measuring. The usability of the approach was affirmed after using Gauss' method of least mean squares in order to minimize the received errors.
Modelling reinforcement corrosion - usability of a factorial approach for modelling resistivity of concrete
Osterminski, K. (Autor:in) / Schießl, P. (Autor:in) / Volkwein, A. (Autor:in) / Mayer, T.F. (Autor:in)
Materials and Corrosion ; 57 ; 926-931
2006
6 Seiten, 9 Bilder, 3 Tabellen, 6 Quellen
Aufsatz (Zeitschrift)
Englisch
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Modelling of reinforcement corrosion in concrete
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Advanced modelling of concrete deterioration due to reinforcement corrosion
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