Predicting of vertical displacements of structures of engineering buildings and facilities

User Rating:  / 1


M.Sailygarayeva*,, Satbayev University, Almaty, the Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

A.Nurlan,, LLP EliteStroy, Almaty, the Republic of Kazakhstan

K.Rysbekov,, Satbayev University, Almaty, the Republic of Kazakhstan

S.Soltabayeva,, Satbayev University, Almaty, the Republic of Kazakhstan

B.Amralinova,, Institute of Project Management, Almaty, the Republic of Kazakhstan

Zh.Baygurin,, Satbayev University, Almaty, the Republic of Kazakhstan

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023, (2): 077 - 083


The research is aimed at solving the tasks of monitoring and assessing the state of an engineering object and determining predictive characteristics in the form of construction of various models of settlement and deformation of a structure based on the results of geodetic measurements, taking into account the space-time interaction of engineering objects with the geological environment in a seismic zone with the earthquake energy class values of = 6–7.5, in the area of possible underground fluctuations with an intensity of 3–4 points.

An analytical methodology has been developed that takes into account the geological conditions of the foundation, changes in the groundwater level, soil compaction under significant static load, as well as the accumulation of damage in the supporting structures caused by the impact of numerous and insignificant underground seismic shocks, for predicting the vertical displacements of the engineering facility supporting structures. To assess the durability and stability of design components, the least squares method is used, which makes it possible to display the patterns of deformation process development. Obtaining new results during the period of further operation in order to draw up a technical conclusion on the state of the facility and its stability is possible by monitoring and predicting deformation deviations of individual components of an engineering object in the vertical plane.

With the help of mathematical modeling of strength calculations of supporting structures based on geodetic measurement data, it is possible to determine the quantitative characteristics and patterns of deformation process development during the engineering facility operation. The performed calculations on mathematical modeling make it possible to reveal the distribution of the parameters of amplitude-frequency characteristics of the linearly deformable monolithic plate upper layer along the perimeter and to predict possible deformation changes over a certain period of time during the engineering facility operation. According to the executive survey data, vertical deviations of structures along the facility perimeter AB, BC, CD, DA have been determined in the range from 1 to 27 mm, which is the basis for predicting deformation deviations in the vertical plane. In addition, as a result of engineering-geological surveys conducted on the building construction site, the geological-lithological structure of the site has been determined.

A methodology for predicting the deformation processes of individual sections of vertical structures and monolithic walls of an engineering facility, which are associated with the complex lithological structure of the foundation section and the location of the object in a seismically hazardous zone, is proposed.

Practical value.
The obtained results of studying the deformation processes of structures and individual facilities make it possible to take into account the form of complex interaction of individual sections and, in general, to predict deformation deviations in the vertical plane.

engineering facilities, deformation processes, geomechanical assessment, seismic zone, geodetic monitoring


1. Bazaluk, O., Rysbekov, K., Nurpeisova, M., Lozynskyi, V., Kyrgizbayeva, G., & Turumbetov, T. (2022). Integrated monitoring for the rock mass state during large-scale subsoil development. Frontiers in Environmental Science, (10), 852591.

2. Shults, R., Saule, S., Seitkazina, G., Nukarbekova, Z., & Kuche­ren­ko, O. (2020). Geospatial Monitoring and Structural Mechanics Models: a Case Study of Sports Structures. Environmental Engineering, (11), 1-9.

3. Rysbekov, K. B., Huayang, D., Nurpeisova, M. B., Lozynskyi, V. H., Kyrgyzbayeva, G. M., Kassymkanova, K., & Abenov, А. М. (2023). Modern monitoring tools – effective way to ensure safety in subsoil use. Engineering Journal of Satbayev University, 144(3), 34-40.

4. Asker, K., Fouad, M. T., Bahr, M., & El-Attar, A. (2021). Numerical analysis of reducing tunneling effect on viaduct piles foundation by jet grouted wall. Mining of Mineral Deposits, 15(1), 75-86.

5. Turegeldinova, A. Z. (2014). Analysis of the effectiveness of benefit package structure. Actual Problems of Economics, 151(1), 383-387.

6. Chmura, D., Jagodziński, A. M., Hutniczak, A., Dyczko, A., & Woźniak, G. (2022). Novel Ecosystems in the Urban-Industrial Landscape–Interesting Aspects of Environmental Knowledge Requiring Broadening: A Review. Sustainability, 14(17), 10829.

7. Madimarova, G., Suleimenova, D., Pentayev, T., Khalykov, Y., Baydauletova, G., Tumazhanova, S., & Stankova, H. (2022). The geodetic monitoring of deformations of a high-rise building using ground-based laser scanning technology. Journal of Applied Engineering Science, 20(4), 1083-1092.

8. Adebiyet, B., Iliuf, F. A., Orynbassarova, E., Chernov, A., & Idrissov, K. (2022). 3D Modeling of Satbayev University based on laser scanning and UAV data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (46), 1-6.

9. Kuttykadamov, M. E., Rysbekov, K. B., Milev, I., Ystykul, K. A., & Bektur, B. K. (2016). Geodetic monitoring methods of high-rise constructions deformations with modern technologies application. Journal of Theoretical and Applied Information Technology, 93(1), 24-31.

10. Miletenko, I. V. (2014). Causes of strain of buildings and structures in areas of abnormal stress and surveillance terrestrial laser scanners. Life Science Journal, 11(9), 165-170.

11. Aukazhieva, Zh. M., & Darkenbayeva, A. B. (2021). Definition and theoretical basis of laser scanning. Engineering Journal of Satbayev University, 143(2), 52–57.

12. Veselova, L. K., Bexeitova, R. T., Kassymkamova, K. K. M., Duise­baeva, K. Z., Turapova, R. O., Tumazhanova, S. O., & Taukebaev, O. Z. (2016). Altitudinal Zonation of Exomorphogenesis in Northern Tien Shan. International Electronic Journal of Mathematics Education, 11(7), 1987-2001.

13. Rysbekov, K., Bitimbayev, M., Akhmetkanov, D., Yelemessov, K., Barmenshinova, M., Toktarov, A., & Baskanbayeva, D. (2022). Substantiation of mining systems for steeply dipping low-thickness ore bodies with controlled continuous stope extraction. Mining of Mineral Deposits, 16(2), 64-72.

14. Dakieva, K. Z., Tusupova, Z. B., Zhautikova, S. B., Loseva, I. V., Dzhangozina, D. N., Beysembaeva, R. S., & Zhamanbaeva, M. K. (2018). Studying the Benefits of Green Workplace Environment on Health Promotion in Sympathoadrenal and Kallikrein-Kinin Systems. Ekoloji, 27(106), 1087-1097.

15. Akhmetov, R., Makhmetova, G., Orynbassarova, E., Baltiyeva, A., Togaibekov, A., Roberts, K., & Yerzhankyzy, A. (2022). The Study of Kinematic GNSS Surveying for Bim Georeferencing. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, (46), 7-14.

16. Plichko, L. V., Zatserkovnyi, V. I., Khilchevskyi, V. K., Mizernaya, M., & Bakytzhan, A. (2020). Assessment of changes a number of surface water bodies within the sub-basin of the Desna River using remote sensing materials. Geoinformatics: Theoretical and Applied Aspects, 1, 1-5.

17. Uteshov, Y., Galiyev, D., Galiyev, S., Rysbekov, K., & Nаuryz­ba­yeva, D. (2021). Potential for increasing the efficiency of design processes for mining the solid mineral deposits based on digitalization and advanced analytics. Mining of Mineral Deposits, 15(2), 102-110.

18. Driouch, A., Ouadif, L., Benjmel, K., Bhilisse, M., & Ilmen, S. (2022). Determining the regional tectonic stress field by remote sensing in the Bou Azzer inlier, Central Anti-Atlas, Morocco. Mining of Mineral Deposits, 16(2), 49-54.

19. Pingue, F., Petrazzuoli, S. M., Obrizzo, F., Tammaro, U., De Martino, P., & Zuccaro, G. (2011). Monitoring system of buildings with high vulnerability in presence of slow ground deformations. Measurement, 44(9), 1628-1644.

20. Sztubecki, J., & Mrówczyńska, M. (2023). Vertical displacement monitoring using the modified leveling method. Measurement, (206), 112264.

21. Petruniak, M., Rubel, V., Chevhanova, V., & Kulakova, S. (2021). Application of grout slurries with the defecate addition for effective well cementing. Mining of Mineral Deposits, 15(1), 59-65.

22. Velsink, H. (2015). On the deformation analysis of point fields. Journal of Geodesy, (89), 1071-1087.



This Month
All days

Guest Book

If you have questions, comments or suggestions, you can write them in our "Guest Book"

Registration data

ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.


D.Yavornytskyi ave.,19, pavilion 3, room 24-а, Dnipro, 49005
Tel.: +38 (056) 746 32 79.
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
You are here: Home