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Smeared crack modelling approach for corrosion-induced concrete damage

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Abstract

In this paper a smeared crack modelling approach is used to simulate corrosion-induced damage in reinforced concrete. The presented modelling approach utilizes a thermal analogy to mimic the expansive nature of solid corrosion products, while taking into account the penetration of corrosion products into the surrounding concrete, non-uniform precipitation of corrosion products, and creep. To demonstrate the applicability of the presented modelling approach, numerical predictions in terms of corrosion-induced deformations as well as formation and propagation of micro- and macrocracks were compared to experimental data obtained by digital image correlation and published in the literature. Excellent agreements between experimentally observed and numerically predicted crack patterns at the micro and macro scale indicate the capability of the modelling approach to accurately capture corrosion-induced damage phenomena in reinforced concrete. Moreover, good agreements were also found between experimental and numerical data for corrosion-induced deformations along the circumference of the reinforcement.

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Acknowledgements

The authors gratefully acknowledge the financial support of the Danish Expert Centre for Infrastructure Constructions. Further, the authors would like to thank Bradley J. Pease for contributing with experimental data.

Funding

The first author has received funding from the Danish Expert Centre for Infrastructure Constructions. No grant number exists.

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Authors and Affiliations

  1. Department of Civil Engineering, Technical University of Denmark, Brovej, Building 118, 2800, Kgs. Lyngby, Denmark

    Anna Emilie A. Thybo, Alexander Michel & Henrik Stang

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  1. Anna Emilie A. Thybo
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  2. Alexander Michel
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  3. Henrik Stang
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Correspondence to Anna Emilie A. Thybo.

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Thybo, A.E.A., Michel, A. & Stang, H. Smeared crack modelling approach for corrosion-induced concrete damage. Mater Struct 50, 146 (2017). https://doi.org/10.1617/s11527-017-0999-5

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