STRUCTURAL RELIABILITY ANALYSIS OF STEEL TRUSSES BY DEFLECTION BASED ON P-BOXES
https://doi.org/10.33979/2073-7416-2022-102-4-64-74
Abstract
The article describes algorithms for probabilistic evaluation of steel trusses’ reliability by the deflection criterion using p-boxes as models of random variables. The p-boxes are an area formed by the boundary cumulative distribution functions (CDFs). There is a real probability distribution function of a random variable inside the p-box area. Based on the presented approaches, it is possible to design trusses on a given reliability index or probability of non-failure. P-boxes as random variable models take into account aleatory and epistemological uncertainties at the same time. Such models are relevance for snow loads as one of the main factors affecting the stress-strain state of trusses. Information about the reliability level of steel trusses according to the deflection criterion is necessary for a system assessment of the reliability of a truss. An approach of structural reliability analysis is also proposed for existing trusses, where the ultimate deflection is limited by the condition of buckling of the selected truss bar.
About the Authors
Anastasia An. Solovyeva
Vologda State University
Russian Federation
Russian Federation
Sergey Al. Solovyev
Vologda State University
Russian Federation
Russian Federation
Nina P. Umnyakova
Research institute of construction physics RAASN (NIISF RAASN)
Russian Federation
Russian Federation
Alexander Al. Kochkin
Vologda State University
Russian Federation
Russian Federation
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20. XXV International Scientific conference on Advance in Civil Engineering “Construction the formation of living environment” (FORM-2022) [Электронный ресурс]. URL: https://mgsu-conference.org/form-2022 (дата обращения: 01.06.2022)
Review
For citations:
Solovyeva A.A., Solovyev S.A., Umnyakova N.P., Kochkin A.A. STRUCTURAL RELIABILITY ANALYSIS OF STEEL TRUSSES BY DEFLECTION BASED ON P-BOXES. Building and Reconstruction. 2022;(4):64-74. (In Russ.) https://doi.org/10.33979/2073-7416-2022-102-4-64-74
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