Preview

Building and Reconstruction

Advanced search

STRUCTURAL ELEMENTS DESIGN ON RELIABILITY LEVEL IN CASE LIMITED STATISTICAL DATA

https://doi.org/10.33979/2073-7416-2020-87-1-81-91

Abstract

Russian Federation Federal Law No. 384-FZ "Technical regulations on the safety of buildings and structures" contains requirements for ensuring the mechanical (structural) safety of structural elements of structures at the stages of design, manufacture, construction and operation. Quantitative measures of mechanical (structural) safety are reliability, risk, survivability, etc. The article considers the new algorithm for design load-bearing structural elements based on the reliability index for one or more limit state criteria with limited statistical data. Examples of design of the load-bearing element using the probabilistic method are given. The method is based on the provisions of the possibility theory and fuzzy sets theory. As a measure of reliability, the necessity N and the possibility R of non-failure are used. The proposed approach to the order (algorithm) for load-bearing elements design has an advantage over the known traditional approach since it reduces the design time and, accordingly, the costs. The proposed algorithms for structural elements design for a given reliability level can be used when selecting cross-sections of load-bearing elements of structures according to the limit state criteria of the first and second groups with the specified reliability level, in particular, with limited statistical information about the controlled parameters, which will ensure compliance with the requirements of GOST 27751-2014.

About the Authors

V. S. Utkin
Vologda State University
Russian Federation


S. A. Solovyev
Vologda State University
Russian Federation


O. V. Yarigina
Vologda State University
Russian Federation


Review

For citations:


Utkin V.S., Solovyev S.A., Yarigina O.V. STRUCTURAL ELEMENTS DESIGN ON RELIABILITY LEVEL IN CASE LIMITED STATISTICAL DATA. Building and Reconstruction. 2020;(1):81-91. (In Russ.) https://doi.org/10.33979/2073-7416-2020-87-1-81-91

Views: 107


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2073-7416 (Print)