Issue |
E3S Web Conf.
Volume 533, 2024
XXVII International Scientific Conference on Advance in Civil Engineering “Construction the Formation of Living Environment” (FORM-2024)
|
|
---|---|---|
Article Number | 02037 | |
Number of page(s) | 9 | |
Section | Reliability of Buildings and Constructions | |
DOI | https://doi.org/10.1051/e3sconf/202453302037 | |
Published online | 07 June 2024 |
Experimental study of corrosion wear of structures in a plane stress state and identification of corrosion wear models
1 Saratov State Technical University named after Yu.A. Gagarin, 410054, Polytechnicheskaya st 77, Saratov, Russia
2 Moscow State University of Civil Engineering, 129337, Yaroslavskoye Shosse 26, Moscow, Russia
3 Tyumen Industrial University 625000, Volodarskogo st 38, Tyumen, Russia
* Corresponding author: vadimkarakhanyan@mail.ru
The problem of experimental study of the influence of the stress state on the kinetics of corrosive wear of thin-walled metal structures is considered. An experimental setup for studying the corrosion wear of round plates in a biaxial stress state is described. Test results are presented showing that alternating loading accelerates the process of corrosive wear of the plates. Using the example of a corrosion model that takes into account the influence of stress, the method of identifying (determining coefficients) of the model, considered as a mathematical programming problem, for the solution of which the random search method is used, is illustrated. The found coefficients of the model are presented and the reliability of the model is confirmed by comparison with experiment.
Key words: corrosive wear / influence of stress on corrosion / round plate / identification of corrosive wear 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.