Applicability assessment of digital twins of railway bridges
- Authors: Svintsov S.E.1,2, Chizov S.V.1
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Affiliations:
- Emperor Alexander I St. Petersburg State Transport University
- Stroyproekt Engineering Group
- Issue: Vol 11, No 4 (2025)
- Pages: 674-699
- Section: Original studies
- URL: https://medbiosci.ru/transj/article/view/364024
- DOI: https://doi.org/10.17816/transsyst687854
- ID: 364024
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Abstract
BACKGROUND: Improving the safety of key infrastructure facilities, including railway swing bridges, is the government priority. The unique nature of Russia, where most bridges of this type are concentrated in major metropolitan areas and have long service lives, requires innovative solutions. In the premises, the paper focuses on using digital twins as a tool capable of dramatically improving reliability and safety of these strategic structures.
AIM: This work aimed to provide a comparative analysis of operation of swing bridges in Russia and globally and assess the potential for using digital twins to improve their safety in Russia.
METHODS: We used statistical methods to analyze publicly available data. We assessed the applicability of digital twins to improve the performance and safety of bridges in Russia.
RESULTS: In Russia, 26% of swing bridges are railway bridges (compared to 18% other countries). The median age is 60 years (compared to 88 in other countries). 85% of bridges in Russia are located in cities with populations over a million (compared to 11.6% in other countries), highlighting their importance for infrastructure.
CONCLUSION: The use of digital twins to improve the safety of railway swing bridges in Russia is reasonable and requires further consideration.
About the authors
Stepan E. Svintsov
Emperor Alexander I St. Petersburg State Transport University; Stroyproekt Engineering Group
Author for correspondence.
Email: stiwosv@gmail.com
ORCID iD: 0009-0001-1170-6821
SPIN-code: 4608-5453
Postgraduate student, I Category Structural Design Engineer
Russian Federation, St. Petersburg; St. PetersburgSergey V. Chizov
Emperor Alexander I St. Petersburg State Transport University
Email: sergchizh@yandex.ru
ORCID iD: 0000-0001-7613-8848
SPIN-code: 6419-1111
Cand. Sci. (Engineering), Associate Professor
Russian Federation, St. PetersburgReferences
- Negomedzyanova AA, Ovchinnikov IG. On the design of drawbridges. Vestnik Evraziyskoy nauki. 2023;(15(2)). (In Russ.) EDN: JBKXZK
- Structures & Large-Scale Projects [Internet]. Structurae. [cited 2025 May 14]. Available from: https://structurae.net/en
- Antonyuk AA, Varnavskaya AO. Principles of determining requirements for urban bascule bridges of opening system under intensive operating conditions. Vestnik Evraziyskoy nauki. 2017;(4(41)):70. (In Russ.) EDN: ZIGGGN
- World Cities Database [Internet]. Simplemaps. [cited 2025 May 14]. Available from: https://simplemaps.com/data/world-cities
- Rossiya 2024: statisticheskiy sbornik [Russia 2024: statistical yearbook] [Internet]. Rosstat. [cited 2025 May 14]. Available from: http://ssl.rosstat.gov.ru/storage/mediabank/Rossia_2024.pdf
- Bogdanov GI. Design of bridges and pipes. Drawbridges. Moscow: Uchebno-metodicheskii tsentr po obrazovaniyu na zheleznodorozhnom transporte; 2014. (In Russ.)
- Franciosi M, Kasser M, Viviani M. Digital twins in bridge engineering for streamlined maintenance and enhanced sustainability. Automation in Construction. 2024;168 (Part A):105834. doi: 10.1016/j.autcon.2024.105834 EDN: LKYAQO
- Grieves M, Vickers J. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems. In: Transdisciplinary Perspectives on Complex Systems. Lisbon: Springer; 2017:85–113.
- GOST R 57700.37-2021. Computer models and simulation. Digital twins of products. General provisions. Approved and put into effect by the Order of the Federal Agency on Technical Regulating and Metrology dated September 16, 2021 No. 979-st. Date of introduction 2022-01-01. Moscow: Standartinform; 2021. (In Russ.)
- Isikdag U, Aouad G, Underwood J, Wu S. Building Information Models: A review on storage and exchange mechanisms. In: Proceedings of the CIB W78 Conference; 2007; Santiago. Santiago; 2017.
- Savenko AI, Cherenkov PV. Common data environment for construction projects implementation using BIM. IndorSoft. 2019;(2(13)):4–11. (In Russ.) EDN: YCCEZG
- Mousavi V, Rashidi M, Mohammadi M, Samali B. Evolution of Digital Twin Frameworks in Bridge Management: Review and Future Directions. Remote Sensing. 2024;16(11):1887. doi: 10.3390/rs16111887 EDN: YPBJTO
- Svintov SE. Implementation of dynamic connection between information and calculation models using an external data source. In: Proceedings of the Russian scientific-practical conference “Informatsionnoe modelirovanie v zadachakh stroitelstva i arkhitektury”; 2025; Saint Petersburg. Saint Petersburg: Saint Petersburg State University of Architecture and Civil Engineering; 2025;402–412. (In Russ.) doi: 10.23968/BIMAC.2025.0544
- Tao H. Research on the development and application of digital twin for the full life cycle of bridge engineering. Theoretical and Natural Science. 2024;31(1):279–286.
- Korus K, Salamak M, Winkler J. Digital Twins as the Next Step in the Design and Management of Bridge Structures. In: Building for the Future: Durable, Sustainable, Resilient. fib Symposium 2023. Lecture Notes in Civil Engineering. Cham: Springer; 2023;350:1586–1593. doi: 10.1007/978-3-031-32511-3_162
- Najafi A, Amir Z, Salman B, et al. A Digital Twin Framework for Bridges. Proceedings of the ASCE International Conference on Computing in Civil Engineering; 2023 Jun 25–28; Corvallis, OR, USA. Corvallis; 2023. doi: 10.1061/9780784485231.052
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