About the authors
| First name, Middle name, Last name, Scientific degree, Scientific rank, Current position. Full and brief name of the organization, The organization address. | Roman V. Melnikov, candidate of technical sciences, associate professor, Industrial University of Tyumen, Tyumen, Russian Federation Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0002-8369-3206 |
| Title of the article | Quality and reliability of soil laboratory tests in the south of the Tyumen region |
| Abstract. | Problem Statement. The quality and reliability of engineering geological surveys largely determine the reliability and durability of design solutions. The primary method for obtaining mechanical characteristics is sampling and subsequent laboratory testing. The relevance of the study lies in a comprehensive approach to assessing the quality of soil laboratory samples, which considers regional specifics of the soil environment and the capabilities of contracting organizations. The aim of this study is a comprehensive assessment of the quality of soil laboratory samples and the development of a model for their prediction based on identified factors. The research objectives include creating a database of regional engineering geological surveys, determining the quality of soil laboratory samples and analyzing the influence of individual parameters, performing a correlation analysis between the identified features and soil sample quality, defining a model for predicting soil sample quality based on regression analysis, and solving an inverse optimization problem using the Monte Carlo method to assess the factors ensuring high-quality soil samples. Results. Specific results of the influence of sampling depth and soil physical characteristics on the quality of laboratory samples were obtained. Based on correlation analysis, factors for regression analysis were selected, and two models for predicting soil sample quality were developed: a machine learning-based model and an analytical model. The subsequent application of these models in inverse optimization made it possible to establish the relationships between sampling depth and the consistency of clayey soils that ensure the collection of high-quality samples. Conclusions. Conclusions were formulated regarding the quality of engineering geological surveys based on the quality of soil laboratory samples; factors affecting soil sample quality during sampling were identified; and a model for predicting soil sample quality was proposed. |
| Keywords. | engineering surveys, quality of soil samples, regression analysis, sampling depth, clayey soils |
| For citations: | Melnikov R.V. Quality and reliability of soil laboratory tests in the south of the Tyumen region // News of KSUAE, 2025, № 3 (73), p. 8-19, DOI: 10.48612/NewsKSUAE/73.1, EDN: ADZDVZ |
