Issue |
E3S Web Conf.
Volume 431, 2023
XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023)
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|
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Article Number | 06018 | |
Number of page(s) | 9 | |
Section | Industrial Innovation and Decarbonization | |
DOI | https://doi.org/10.1051/e3sconf/202343106018 | |
Published online | 13 October 2023 |
Calculation of reliability of a centrally compressed column with a cross-corrugated wall
Moscow State University of Civil Engineering, 129377 Moscow, Russia
* Corresponding author: author@email.org
Issues of safe operation of buildings and structures in the Russian Federation are regulated by various legal and regulatory and technical documents, including Federal Law No. 384 "Technical Regulations on the safety of buildings and structures", to which is attached a list of documents with the status of mandatory, including GOST 27751-2014 "Reliability of building structures and foundations. The main provisions". In this normative document, it is proposed to calculate the reliability of building structures using probabilistic and statistical methods that can be used only in cases where there is complete, homogeneous and statistically independent information about the controlled parameters, while there are no instructions on how to calculate the reliability of building structures if it is impossible to obtain statistical information as a result of the survey and monitoring of building structures. information on controlled parameters, allowing to reliably identify the distribution law and its parameters. The article proposes a particular method for calculating the reliability of a centrally compressed column made of an I-beam with a cross-corrugated wall according to the stability criterion, in which part of the controlled parameters are considered as random variables with complete statistical information, and the other part of the parameters having incomplete statistical information is considered as fuzzy variables. The combination of random variables and fuzzy variables in calculating the reliability of the column made it possible to more fully take into account statistical information about the controlled parameters.
© The Authors, published by EDP Sciences, 2023
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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