Approach to consider self‐corrosion in corrosion monitoring of reinforced concrete structures exposed to chlorides

Author:

Fraundorfer Andreas1ORCID,Dauberschmidt Christoph2,Gehlen Christoph3

Affiliation:

1. Ingenieurgesellschaft Prof. Dauberschmidt & Vestner mbH Munich Germany

2. Munich University of Applied Sciences HM Munich Germany

3. Technical University of Munich Munich Germany

Abstract

AbstractCorrosion processes of steel in concrete contaminated with chlorides take place as macrocell corrosion as well as self‐corrosion (i.e., microcell corrosion). While macrocell corrosion can be detected by element current measurement, self‐corrosion cannot be precisely determined electrochemically. This results in deviations in corrosion investigations between the mass losses calculated coulometrically from macrocell current measurements and the actual, corrosion‐related gravimetric mass losses. This is relevant in practice as part of corrosion monitoring. In the following, a simple approach is presented by considering this self‐corrosion current mathematically in the macrocell current measurement. The empirical regression functions determined for this purpose can be applied to a large number of different influencing parameters and allow the determination of the cumulative steel degradation at time‐varying macrocell current densities under consideration of different safety levels. This allows a much more accurate estimation of the actual corrosion‐induced mass losses during corrosion monitoring than previously possible.

Publisher

Wiley

Subject

Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,Mechanical Engineering,Mechanics of Materials,Environmental Chemistry,Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,Mechanical Engineering,Mechanics of Materials,Environmental Chemistry,Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,Mechanical Engineering,Mechanics of Materials,Environmental Chemistry

Reference55 articles.

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3. P.Rucker‐Gramm Ph.D. Thesis TU Munich (Germany)2008.

4. F.Becker Ph.D. Thesis TU Kaiserslautern (Germany)2022.

5. A.Fraundorfer T.Heilmayer C.Dauberschmidt C.Gehlen MATEC Web Conf. (Nr. 02023) 2022 364.

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