Modern methods of calculation for deep excavations. Advantages of using probabilistic methods
- Authors: Chunyuk D.Y.1, Tolmachev D.A.1
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Affiliations:
- National Research Moscow State University of Civil Engineering
- Issue: No 9 (2025)
- Pages: 42-46
- Section: Articles
- URL: https://freezetech.ru/0044-4472/article/view/692956
- DOI: https://doi.org/10.31659/0044-4472-2025-9-42-46
- ID: 692956
Cite item
Abstract
This paper discusses issues related to the design of deep excavations. During the writing of the article, the experience of deep excavation designing was summarized and the main aspects of current approaches to solving this issue were highlighted. An analysis of the most popular software used in geotechnical practice was also carried out. The main features were highlighted. During the analysis and comparison of the most common geotechnical software systems with calculation programs from other fields, a promising direction for the development and improvement of the current capabilities of foreign and local software systems was identified. A solution based on probabilistic analysis was proposed. It makes possible to increase not only the reliability of design solutions, but also the economic efficiency of deep excavation design in case of dense urban development. The direction of automation of the design process is very relevant today and allows you to significantly reduce costs not only for the labor costs of the design companies, but also for the final implementation of construction. The automated approach will not only reduce the probability of making the mistakes during calculations but also provide a better understanding of geotechnical design. The combination of approaches based on probabilistic analysis and the idea of automation opens up wide horizons for future research.
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About the authors
D. Yu. Chunyuk
National Research Moscow State University of Civil Engineering
Author for correspondence.
Email: KafedraMGG@mgsu.ru
Candidate of Sciences (Engineering)
Russian Federation, 26, Yaroslavskoye Highway, Moscow, 129337D. A. Tolmachev
National Research Moscow State University of Civil Engineering
Email: tolmachev19.99@mail.ru
Рostgraduate Student
Russian Federation, 26, Yaroslavskoye Highway, Moscow, 129337References
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