Issue |
E3S Web Conf.
Volume 533, 2024
XXVII International Scientific Conference on Advance in Civil Engineering “Construction the Formation of Living Environment” (FORM-2024)
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Article Number | 02021 | |
Number of page(s) | 9 | |
Section | Reliability of Buildings and Constructions | |
DOI | https://doi.org/10.1051/e3sconf/202453302021 | |
Published online | 07 June 2024 |
Probabilistic model of corrosion damage in bent reinforced concrete elements
1 Moscow State University of Civil Engineering, 26, Yaroslavskoye shosse, Moscow, 129337, Russia
2 Yaroslavl State Technical University, Russia, Yaroslavl
* Corresponding author: 9201177874@mail.ru
When designing reinforced concrete structures operated in aggressive environments, there is a need to take into account corrosion damage and assess the overall reliability and durability of the structure. The calculation of reinforced concrete elements taking into account the corrosion of concrete and reinforcement is complicated by the stochastic nature of the parameters of corrosion processes. The conducted research is aimed at solving the urgent problem of improving the methodology of the probabilistic approach to the calculation of reinforced concrete elements under environmental and force influences. The article provides a probabilistic assessment of the reliability and durability of flexural reinforced concrete elements damaged by corrosion using a nonlinear deformation model of reinforced concrete. To take into account corrosive wear, well-known concrete deformation diagrams were used, taking into account changes in strength characteristics with increasing concentration of an aggressive environment. Reliability assessment was carried out in a specialized software package using the statistical modeling method. Based on the research results, graphs of changes in the reliability of a bendable reinforced concrete element damaged by corrosion over time were constructed.
Key words: corrosive wear / statistical modeling / reliability / durability / nonlinear deformation model
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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