Algorithm for reducing production operations for geotechnical monitoring while stabilizing controlled parameters

UDK: 624.131.54:622.276

DOI: 10.24887/0028-2448-2026-7-130-133

Key words: geotechnical monitoring (GTM), stabilization of monitored parameters, observation frequency, mechanical safety, GTM program

Authors: I.Y. Loktionov (Krasnodar Branch of RN-Upstream design LLC, RF, Krasnodar); A.G. Matiukhin (Krasnodar Branch of RN-Upstream design LLC, RF, Krasnodar); E.V. Zenkov (Krasnodar Branch of RN-Upstream design LLC, RF, Krasnodar); A.V. Zagumennikova (Krasnodar Branch of RN-Upstream design LLC, RF, Krasnodar)

Ensuring the mechanical safety of buildings, especially in areas with permafrost soils, requires continuous geotechnical monitoring (GTM). A key problem in the lack of clear quantitative criteria for stabilizing monitored parameters and regulated procedures for justifying a reduction in monitoring frequency in current regulations. This leads to excessive costs and legal uncertainty when adjusting monitoring regimes. The article presents a methodology that establishes objective criteria for stabilization of soil temperature and deformations of foundations and basements of buildings. Based on GOST 25358‑2020 and GOST 24846‑2019, the criteria include three components: the accuracy criterion (changes between consecutive measurements do not exceed measurement error), the spatial randomness criterion (assumes a statistically random pattern of changes across nearby observation points and rules out systematic trends that might indicate ongoing geotechnical processes), the minimum sample criterion (at least three consecutive measurements or three annual cycles for natural characteristics). A detailed algorithm for adjusting GTM frequency is proposed, accounting for three scenarios regarding the presence and content of the monitoring program and differentiated legal procedures for each scenario in compliance with the Town Planning Code of the Russian Federation. The algorithm enables both reducing observation frequency when parameters stabilize and increasing it when dangerous deviations are detected (decaying deviations exceeding 80 % of permissible values, non‑decaying exceeding 50 %). Implementing the proposed approach will optimize monitoring costs while maintaining the required safety level through scientifically grounded regulation of observation frequency.

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