Reliability of ground surface movement prediction in construction of stationary facilities in deep subways

Reliability of calculation methods of ground surface movement in construction of large-size tunnels in deep subways is assessed. In the context of protection and guard of buildings, structures and the other surface infrastructure in towns and cities from the adverse effect of mining operations in subway construction, reliability of deformation prediction is a critical issue. With the expanding practice of using exclusively numerical methods in predictions in the latest decade, accuracy and reliability of deformation predictions using these methods as compared with the conventional empirical and analytical approaches become the top-priority challenge, while it lacks comprehensive research. The main conventional empirical and analytical–empirical prediction techniques are compared with the numerical modeling method. The analysis of calculation tools and prediction results reveals the benefits and disbenefits of these estimation methods of displacements and deformations. It shown that levels of deformations strongly depend on the actual process variables. Reliability of the conventional methods depends on the so-called empirical coefficients, which adjust calculations for specific tunneling conditions, and on the insufficient elaboration of apparatus of calculations and estimation of their results. For the numerical methods having high potential computational capacities, it is demonstrated that they also have limitations and their results depend on the involved models of environment and their input characteristics which are impossible to evaluate correctly on a laboratory scale. The recommendations on the selection and correction of the prediction methods and approaches are formulated.

Volokhov E. M., Britvin I. A., Kozhukharova V. K. Reliability of ground surface movement prediction in construction of stationary facilities in deep subways. MIAB. Mining Inf. Anal. Bull. 2024;(5):36-61. [In Russ]. DOI: 10.25018/0236_1493_2024_5_0_36.

E.M. Volokhov¹, Cand. Sci. (Eng.), Associate Professor, e-mail: volohov@spmi.ru, ORCID ID: 0000-0003-4430-4172,
I.A. Britvin¹, PhD Student, e-mail: britvini25@yandex.ru, ORCID ID: 0000-0002-1561-0835,
V.K. Kozhukharova¹, PhD Student, e-mail: s225049@stud.spmi.ru, ORCID ID: 0009-0008-0705-3646,
¹ Empress Catherine II Saint-Petersburg Mining University, 199106, Saint-Petersburg, Russia

I.A. Britvin, e-mail: britvini25@yandex.ru.

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