- Issue
- Journal of Siberian Federal University. Mathematics & Physics. 2024 17 (5)
- Authors
- Filimonov, Mikhail Yu.; Vaganova, Nataliia A.; Shamugia, David Zh.; Filimonova, Irina M.
- Contact information
- Filimonov, Mikhail Yu. : Krasovskii Institute of Mathematics and Mechanics Yekaterinburg, Russian Federation; Ural Federal University Yekaterinburg, Russian Federation; OCRID: 0000-0002-9561-5416; Vaganova, Nataliia A. : Krasovskii Institute of Mathematics and Mechanics Yekaterinburg, Russian Federation; Ural Federal University Yekaterinburg, Russian Federation; OCRID: 0000-0001-6966-9050; Shamugia, David Zh.: Ural Federal University Yekaterinburg, Russian Federation; OCRID: 0009-0006-8715-1873; Filimonova, Irina M. : Ural Federal University Yekaterinburg, Russian Federation; OCRID: 0009-0002-2800-9237
- Keywords
- mathematical modelling; heat and mass transfer; permafrost
- Abstract
Global climate warming challenges the permafrost areas losing the frozen state and stabil- ity. Industrial development and human activity in these regions also contributes to the degradation of permafrost. The construction of residential buildings and their operation in these territories mainly in- volves maintaining the soil under these structures in a frozen state throughout the entire period of their operation. For these purposes, pile foundations and ventilated crawl spaces are used. The basements may also include the devices aiding stabilize the soil. For example, it could be hundreds of the seasonally operating cooling devices. An urgent task is long-term forecasting of the dynamics of changes in the bearing capacity of a pile foundation of a building, considering climatic and technogenic impacts on the surrounding soil. A new model and numerical algorithm were developed to study the dynamics of changes in the bearing capacity of piles during the operation of the building, considering temperature monitoring data from temperature sensors located in thermometric wells. Validation of the developed software package was carried out based on the existing and constantly arriving data on soil temperature monitoring to a depth of 10 meters on the server. A comparison of the obtained monitoring data and the calculated data in thermometric wells showed a significant improvement compared to the previously used model and calculation program for this residential building
- Pages
- 622–631
- EDN
- OJGPTH
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/153259
Journal of Siberian Federal University. Mathematics & Physics / Computer Modeling of Temperature Fields in the Soil and the Bearing Capacity of Pile Foundations of Buildings on Permafrost
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