The method of accounting for the salinity of soil moisture when performing predictive thermal calculations

UDK: 622.276:624.131.1
DOI: 10.24887/0028-2448-2024-8-38-41
Key words: soil, predictive modeling, salinity of soil moisture, the curve of unfrozen water
Authors: V.G. Georgiyadi (NK Rosneft-NTC LLC, RF, Krasnodar) А.А. Agapov (NK Rosneft-NTC LLC, RF, Krasnodar) D.Е. Pogorzhalskii (NK Rosneft-NTC LLC, RF, Krasnodar) Y.V. Kuznetsova (NK Rosneft-NTC LLC, RF, Krasnodar) Е.V. Zenkov (NK Rosneft-NTC LLC, RF, Krasnodar) А.S. Ignatenko (NK Rosneft-NTC LLC, RF, Krasnodar)

One of the tasks solved by the employees of NK Rosneft-NTC LLC (a subsidiary of Rosneft Oil Company) is to improve the design technologies of structures located in the Far North. The effectiveness of the design decisions made depends on the accuracy of the results of forecasting changes in temperature distributions in the engineering and geological section. The results of forecasting depend on the correct interpretation of the engineering-geological and thermophysical characteristics of the soils of the foundations refined at the design site. Despite this, some of the characteristics that influence the results of predictive modeling are not accepted on the basis of laboratory studies, but are calculated using computational methods based on empirical dependencies. The NTC staff evaluated the calculation methodology proposed in the normative and technical documentation, which makes it possible to determine the dependence of the humidity value due to unfrozen water on the soil temperature. The effect of salinity of soil moisture for unsalted soils on the dependence under consideration was chosen as the studied parameter. In order to determine the degree of influence, predictive thermal engineering calculations were performed for a number of mine workings located in the north of the Krasnoyarsk Territory. In order to improve the accuracy of the results of forecasting changes in temperature distributions, the NTC staff proposed to improve the calculation methodology for the value of the unfrozen water curve, set out in the regulatory and technical documentation. The proposed enhancement will improve the accuracy of predictive modeling and, as a result, optimize design solutions in terms of measures for temperature stabilization of foundation soils, as well as pile foundations of buildings and structures designed in the Far North.

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