Design forecasting of serviceability of structures in harsh climatic conditions
https://doi.org/10.21285/2227-2917-2023-2-316-323
Abstract
By using system analysis, which examines the physical laws of the interaction between external low-temperature environments and reinforced concrete structures, along with their resulting consequences, a graphical-analytical algorithm is proposed in order to adjust the standard functional relationships of serviceability indicators, thereby ensuring the required reliability within the designated service life. The analysis of structural behaviour was carried out through a dynamic model, which involves a combination of static tests at different stages of standardized low-temperature actions. In this case, the time factor was analysed in the form of a relative (to the frost-resistance grade) number of cycles, enabling the statistical compilation of various tests. The controlled reliability parameters were substantiated by the methods of statistical analysis with due regard for the variability of all the parameters within the standard criteria models. Here, their sensitivity and representativeness were assessed using approved probabilistic forecast methods. The technical and economic feasibility of the proposed approach for adjusting the parametric reliability of bending reinforced concrete structures was experimentally confirmed. Statistically significant experimental studies were carried out with automatic registration of all significant resistance parameters during various stages of fatigue-induced structural transformations of the elements intended for arctic service. A catalogue, containing graphical relationships of ultimate tensile strength values for bending elements within dispersion fields at different levels of reinforcement and under varying temperature-humidity climatic conditions, was compiled. The research findings confirm the significant influence of temperature and internal resistance on the parametric failures of structural elements having previously established reliability (probability).
About the Author
B. I. Pinus
Irkutsk National Research Technical University
Russian Federation
Competing Interests:
Russian Federation
Boris I. Pinus - Dr. Sci. (Eng.), Professor, Professor of the Department of Building Production.
83 Lermontov St., Irkutsk 664074
Competing Interests:
The author declare no conflict of interests regarding the publication of this article
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Review
For citations:
Pinus B.I. Design forecasting of serviceability of structures in harsh climatic conditions. Izvestiya vuzov. Investitsii. Stroitelstvo. Nedvizhimost. 2023;13(2):316-323. (In Russ.) https://doi.org/10.21285/2227-2917-2023-2-316-323
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