Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science

IMPROVing THE RELIABILITY OF DURABILITY PREDICTION OF BUILDing MATERIALS AND STRUCTURES AS ONE OF THE FACTORS OF SUSTAINABLE ECONOMIC DEVELOPMENT


DOI: 10.5937/jaes18-27931 
This is an open access article distributed under the CC BY 4.0
Creative Commons License

Volume 18 article 714 pages: 463 - 466

Polivanova Tatyana Vladimirovna
Southwest State University, Faculty of construction and architecture, Department of heat and gas supply, Kursk, Russian Federation

Urda Margarita Nikolaevna
Mordovia State University, Southwest State University, Law faculty, Department of criminal law, Kursk, Russian Federation

Erofeev Aleksandr Vladimirovich
Mordovia State University, Southwest State University, Law faculty, Department of criminal law, Kursk, Russian Federation

Elena Mishchenko*
Tambov State Technical University, Institute of economics and life quality management ,Tambov, Russian Federation

Apraksina Olga Nikolaevna
Mordovia State University, Southwest State University, Law faculty, Department of criminal law, Kursk, Russian Federation

During operation, building materials and structures in buildings and structures are exposed to a whole range of adverse effects, leading to the loss of their performance characteristics.It is shown that at present there is a possibility to predict the durability of building materials and structures already at the stage of their design without carrying out additional inspections during operation. This prediction is based on the concept thermal fluctuations destruction and deformation of the solid body. Experimental studies are presented to determine the effect of temperature and stress on the value of durability for polyvinyl chloride plates during cross bending, on the basis of which the thermal fluctuation constants of the generalized Zhurkov equation are found by three different methods. A comparative analysis of them is made and a method for their determination is proposed, which makes it possible to increase the accuracy of the durability prediction.

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