SYSTEMS FOR MONITORING THE STRESS-STRAIN STATE OF STRUCTURES AS PART OF A DIGITAL TWIN OF BUILDINGS AND TRANSPORT STRUCTURES USING AUGMENTED AND VIRTUAL REALITY

Main Article Content

E. SAVINA
A. YAKOVLEV
A. KULAN
E. MOISEITCHIK

Abstract

The article discusses the issues of organizing monitoring of the stress-strain state of building structures and transport structures as part of a digital twin using virtual and augmented reality technologies. The relevance of the study is due to the need to improve the reliability and operational safety of construction facilities, a significant part of which are operated in conditions of exceeding standard service life, increased transport loads and the impact of adverse natural and climatic factors. An approach to building a digital twin is proposed based on the integration of a BIM model, computational models implemented by the finite element method, and experimental data from automated stress-strain state monitoring. The choice of a monitoring scheme based on the results of numerical modeling is justified, which makes it possible to identify the most stressed and critical areas of structures. It is shown that the inclusion of monitoring data in the digital twin ensures that the calculated models are updated taking into account the actual operating conditions and accumulated damage. A VR/AR environment has been implemented as a functional layer of the digital twin, providing immersive visualization of the geometry of the structure, monitoring results and calculated data. The use of virtual and augmented reality increases the visibility of stress and strain distribution analysis, reduces the influence of the human factor, and improves the efficiency of engineering decision-making during the inspection and operation of buildings and transport facilities.


The results of the performed research and testing on real objects confirm the prospects of using digital twins with integrated VAT monitoring and VR/AR technologies to manage the technical condition and operational reliability of construction structures.

Article Details

How to Cite
SAVINA, E., YAKOVLEV, A., KULAN, A., & MOISEITCHIK, E. (2026). SYSTEMS FOR MONITORING THE STRESS-STRAIN STATE OF STRUCTURES AS PART OF A DIGITAL TWIN OF BUILDINGS AND TRANSPORT STRUCTURES USING AUGMENTED AND VIRTUAL REALITY. Vestnik of Polotsk State University. Part F. Constructions. Applied Sciences, (1), 42-49. https://doi.org/10.52928/2070-1683-2026-44-1-42-49
Author Biography

E. MOISEITCHIK, Belarusian National Technical University, Minsk

д-р техн. наук, доц.

References

Pastushkov, V.G., Botyanovsky, A.A., & Kostyukovich, O.V. (2021). Application of advanced technologies in assessing the technical condition of a road overpass in the city of Brest. Avtomobilnye dorogi i mosty, 1(27), 13–19. (In Russ.).

Pastushkov, V.G., Vaitovich, A.N., Kostyukovich, O.V., & Yankovsky, L.V. (2021). Practice of applying an automated monitoring system for structural components of transport facilities. Transport. Transport Facilities. Ecology, (4), 77–90. (In Russ.).

Kostyukovich, O.V., & Pastushkov, V.G. (2021). Study of the stress–strain state of span structures of individual design and production. Transport. Transport Facilities. Ecology, (1), 40–47. (In Russ.).

Vasilyev, A.I. (2021). Monitoring of the technical condition of bridge structures (Study guide). Moscow: Moscow Automobile and Road Construction State Technical University (MADI). (In Russ.).

Drozd, Ya.I., & Pastushkov, G.P. (1984). Prestressed reinforced concrete structures. Minsk, Higher School. (In Russ.).

Medrano-Sánchez, E., & Martos, E. (2025). Strategies for bridge maintenance using BIM: An analysis of methodologies and tools. Frontiers in Built Environment, 11. URL: https://www.frontiersin.org/journals/built-environment/articles/10.3389/fbuil.2025.1693644/full.

Ferdous, M.R., Biswas, M., Jany, M.R., & Rakhsit, S. (2025). Application of Building Information Modeling (BIM) in bridge design and construction management. American Journal of Innovation in Science and Engineering, 4(3), 30–37.

Mohamed, A.G., Khaled, A., & Abotaleb, I.S. (2023). A Bridge Information Modeling (BrIM) framework for inspection and maintenance intervention in reinforced concrete bridges. Buildings, 13(11). URL: https://www.mdpi.com/2075-5309/13/11/2798.

Mohammadi, M., Rashidi, M., Yu, Y., & Samali, B. (2023). Integration of TLS-derived Bridge Information Modeling (BrIM) with a decision support system for digital twinning and asset management of bridge infrastructures. Computers in Industry, 147. URL: https://www.sciencedirect.com/science/article/pii/S0166361523000313.

Kang, X., Zhu, B., Cai, Y., Xiao, Y., Liu, N., Guo, Z., Wang, Q.-A., & Luo, Y. (2025). A concise review of state-of-the-art sensing technologies for bridge structural health monitoring. Sensors, 25(17). URL: https://www.mdpi.com/1424-8220/25/17/5460.

Savina, E.N., Moiseichik, E.A., & Yakovlev, A.A. (2025). Social and technical aspects of using UAVs and point clouds on the example of a transport facility when creating a BIM model. Avtomobilnye dorogi i mosty [Highways and bridges], 1(35), 48–57 (In Russ.).

Savina, E.N., Moiseichik, E.A., Yakovlev, A.A., & Kulan, A.V. (2025). Experimental study of the application of BIM technologies, augmented and virtual reality technologies for transport facilitiesю Avtomobilnye dorogi i mosty [Highways and bridges], 2(36), 32–41. (In Russ.).

Botyanovsky, A.A., & Pastushkov, V.G. (2015). Application of BIM technologies and the latest equipment in the study of the actual technical condition of a bridge structure. Modernizacia i nauchnye issledovania v transportnom complekse [Modernization and scientific research in the transport complex], 1, 342–345. (In Russ.).

Ginzburg, A.V. (2016). BIM technologies throughout the life cycle of a construction project. Informacionnye resursy Rossii [Information resources of Russia], 5(153), 28–31. (In Russ.).

Demenev, A.V., & Artamonov, A.S. (2015). Information modeling in the operation of buildings and structures. Internet-zhurnal Naukovedenie [Internet journal "Science Studies"], 7(3), 21–29. (In Russ.).

Ye, C., Wang, J., Sun, H., & Li, Z. (2019). Digital twin–based framework for bridge structural health monitoring. In Proceedings of the International Conference on Structural Health Monitoring of Intelligent Infrastructure. URL: https://www.dpi-proceedings.com/index.php/shm2019/article/view/32287.

Jirawattanasomkul, T., Hang, L., Srivaranun, S., Likitlersuang, S., Jongvivatsakul, P., Yodsudjai, W., & Thammarak, P. (2025). Digital twin-based structural health monitoring and measurements of dynamic characteristics in balanced cantilever bridge. Resilient Cities and Structures, 4(3), 48–66. URL: https://www.sciencedirect.com/science/article/pii/S2772741625000365.

Mehta, K.P. (2023). Digital twins for bridge health monitoring: A review. International Journal of Research in Artificial Intelligence. URL: https://ijrai.org/index.php/ijrai/article/view/39.

Mousavi, V., Rashid,i M., Mohammadi, M., & Samali, B. (2024). Evolution of digital twin frameworks in bridge management: Review and future directions. Remote Sensing, 16(11). URL: https://www.mdpi.com/2072-4292/16/11/1887.