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First name, Middle name, Last name, Scientific degree, Scientific rank, Current position. Full and brief name of the organization, The organization address.Larisa R. Epifantseva, candidate of technical sciences, associate professor, Tyumen Industrial University, Tyumen, Russian Federation. Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0009-0001-0285-2667 Mikhail D. Kaigorodov, candidate of technical sciences, associate professor, Tyumen Industrial University, Tyumen, Russian Federation. Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0002-4671-5541 Nikita Yu. Kiselev, candidate of technical sciences, Associate Professor, Tyumen Industrial University, Tyumen, Russian Federation. Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0009-0007-5643-0447 Yulia V. Naumkina, candidate of technical sciences, associate professor, Tyumen Industrial University, Tyumen, Russian Federation. Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0003-2853-7531 Yakov A. Pronozin, doctor of technical sciences, professor, Tyumen Industrial University, Tyumen, Russian Federation. Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0002-6173-2796
Title of the articleNumerical modeling of natural slope stability under conditions of anthropogenic risks
Abstract.Problem statement. The main problem for ensuring the safety of buildings near landslide-prone slopes is the lack of time and geotechnical data to assess the risks of secondary slope processes. The aim of the work is to assess the slope stability and predict the risks of its secondary collapse or impact on two nearby buildings, as well as to develop preventive measures using the example of an emergency site in Tobolsk. The research objectives are: 1) to develop the stages of engineering and organizational measures that allow creating an algorithm of actions aimed at minimizing the risks of further deterioration of the geotechnical situation, taking into account geotechnical uncertainty; 2) to conduct a systemic analysis of the factors that determine geotechnical uncertainty at the site under consideration. Results. The results of the slope stability assessment by numerical modeling in the MIDAS software complex based on the strength reduction method are presented. The calculations were performed based on archival data, surveys from adjacent slopes, soil samples from the collapse zone, and express survey data. The calculations took into account the potential deterioration of soil properties under technogenic soaking. It is shown that under conditions of uncertainty, the stability factor can be either greater or less than 1.0, which indicates high risks for the buildings. Two stages of emergency response measures are proposed: strengthening the foundations with bored injection piles and subsequent reinforcement of the slope with a retaining wall with anchors and surcharge. After receiving the report on the actual geological data, additional calculations were performed, which confirmed the effectiveness of the solutions. Conclusions. The analysis of the results made it possible to identify justified measures that increase the stability factor and reduce deep-seated movements. An optimal reinforcement scheme ensuring the required reliability has been developed. The significance of the results lies in the possibility of applying the proposed approaches to minimize the risks of emergency situations during landslides near existing buildings
Keywords.bored-injection piles, slope stability, landslides, numerical modeling, foundation reinforcement, technical survey, shear deformations
For citations:Epifantseva L.R., Kaigorodov M.D., Kiselev N.Yu., Naumkina Yu.V., Pronozin Ya.A. Numerical modeling of natural slope stability under conditions of anthropogenic risks // News of KSUAE, 2025, № 4 (74), p. 40-51, DOI: 10.48612/NewsKSUAE/74.4, EDN: EDRLTP


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