MSE 2022
Lecture
28.09.2022
Workflow for the prediction of corrosion induced failure in 6082 aluminum reinforced concrete
SB

Dr.-Ing. Sven Berger

Helmholtz-Zentrum Hereon GmbH

Berger, S. (Speaker)¹; Friis, J.²; Gouttebroze, S.²; Hoeche, D.¹; Zheludkevich, M.¹
¹Hereon, Geesthacht; ²SINTEF, Trondheim (Norway)
Vorschau
16 Min. Untertitel (CC)

Reinforced concrete is one of the most important structural materials currently used for buildings and infrastructure, in which corrosion plays an important role in the design, lifetime and cost. Compared to widely established steel reinforcement, aluminum reinforcement has the potential to significantly reduce the CO2 footprint, the material use and allow for more flexible and lighter construction. However, to realize the full potential, tailored concrete reinforced material systems have to be developed and the resulting corrosion behavior understood.

Hence, there is a large interest in easily modeling corrosion performance, but Corrosion is a multi-physical process depending on a multitude of parameters and material properties, which makes it difficult to model. Therefore it can largely benefit from the development of systematic workflows.

A workflow will be presented to model aluminum reinforced concrete based on a 2D-FEM model for a single bar cross section. Predicting the corrosion induced degradation of the aluminum reinforced concrete.


Abstract

Abstract

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