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Cable-Stayed Bridges Maintenance Challenges: Case Studies from Russia
DOI: 10.59238/j.pt.20260818001
(1.Saint-Petersburg State University of Architecture and Civil Engineering, St. Petersburg, Russia
2.“ABZ-1” Group Company, St. Petersburg, Russia
3.“Space Development” LLC, St. Petersburg, Russia
4.“Center of Competence “Bridges” LLC, St. Petersburg, Russia
5.Department of Bridge Engineering, Tongji University, Shanghai 200092, China
6.State Key Laboratory of Disaster Reduction in Civil Engineering)
基金项目:
Cable-Stayed Bridges Maintenance Challenges: Case Studies from Russia
(1.Saint-Petersburg State University of Architecture and Civil Engineering, St. Petersburg, Russia
2.“ABZ-1” Group Company, St. Petersburg, Russia
3.“Space Development” LLC, St. Petersburg, Russia
4.“Center of Competence “Bridges” LLC, St. Petersburg, Russia
5.Department of Bridge Engineering, Tongji University, Shanghai 200092, China
6.State Key Laboratory of Disaster Reduction in Civil Engineering)
摘要
Cable-stayed bridges have become a major component of the Russian highway network over the past 25 years, and many of these structures are now approaching the stage at which long-term operational risks become critical. Experience from inspections, repairs, and monitoring has shown that cable systems are among the most vulnerable bridge components, particularly because corrosion- and fatigue-related defects may develop in zones that are only partially accessible to conventional inspection methods. This paper systematizes the Russian experience of operating highway cable-stayed bridges and presents a preventive, risk-based framework for cable-system operation that was used in the development of GOST R 59629—2021. This study is based on the analysis of 189 national and international regulatory and technical documents, the classification of cable systems relevant to Russian practice, and the structuring of operational measures across the design, construction, and service stages of the bridge life cycle. The proposed framework includes risk analysis at the design stage, formation of threshold and reference databases, integration of structural health monitoring, and condition-based planning of scheduled and unscheduled inspections and maintenance. The results support a transition from passive defect-response practice to preventive operations aimed at the early detection of pre-critical states and timely risk mitigation. However, major technical limitations remain, especially the incomplete non-destructive testing coverage of anchorage and transition zones, which constrains the reliability of condition assessment and should be treated as a priority area for further development.
Abstract
Cable-stayed bridges have become a major component of the Russian highway network over the past 25 years, and many of these structures are now approaching the stage at which long-term operational risks become critical. Experience from inspections, repairs, and monitoring has shown that cable systems are among the most vulnerable bridge components, particularly because corrosion- and fatigue-related defects may develop in zones that are only partially accessible to conventional inspection methods. This paper systematizes the Russian experience of operating highway cable-stayed bridges and presents a preventive, risk-based framework for cable-system operation that was used in the development of GOST R 59629—2021. This study is based on the analysis of 189 national and international regulatory and technical documents, the classification of cable systems relevant to Russian practice, and the structuring of operational measures across the design, construction, and service stages of the bridge life cycle. The proposed framework includes risk analysis at the design stage, formation of threshold and reference databases, integration of structural health monitoring, and condition-based planning of scheduled and unscheduled inspections and maintenance. The results support a transition from passive defect-response practice to preventive operations aimed at the early detection of pre-critical states and timely risk mitigation. However, major technical limitations remain, especially the incomplete non-destructive testing coverage of anchorage and transition zones, which constrains the reliability of condition assessment and should be treated as a priority area for further development.

Mehrabi, A.B. In-Service Evaluation of Cable-Stayed Bridges: Overview of Available Methods and Findings. Journal of Bridge Engineering 2006, 11, 716–724, doi:10.1061/(ASCE)1084-0702(2006)11:6(716).

Syrkov, A.V. New Approach to Creating Bridge Structure Condition Management Systems. Science and Technology in the Road Industry 2009, 14–16.

Diamantidis, D. Current Safety Acceptance Criteria in Codes and Standards — A Critical Review. 2012, 1–8, doi:10.1061/41016(314)76.

Mkrtchev, O.; Rayzer, D. Reliability Theory in the Design of Building Structures (in Russian); ASV: Moscow, 2016; ISBN 978-5-4323-0189-5.

Sykora, M.; Holicky, M.; Jung, K.; Diamantidis, D. Human Safety Criteria for Risk-Based Structural Design. Int. J. SAFE 2018, 8, 287–298, doi:10.2495/SAFE-V8-N2-287-298.

Sykora, M.; Holicky, M.; Lenner, R.; Manas, P. Target Reliability Levels for Existing Bridges Considering Emergency and Crisis Situations. Advances in Military Technology 2014, 9, 45–57.

Schneider, J.; Vrouwenvelder, T. Introduction to Safety and Reliability of Structures; Structural Engineering Documents; 3rd reviewd and extended.; International Association for Bridge and Structural Engineering (IABSE): Zurich, Switzerland, 1997; ISBN 978-3-85748-151-2.

Leimeister, M.; Kolios, A. A Review of Reliability-Based Methods for Risk Analysis and Their Application in the Offshore Wind Industry. Renewable and Sustainable Energy Reviews 2018, 91, 1065–1076, doi:10.1016/j.rser.2018.04.004.

Kabir, S.; Papadopoulos, Y. Applications of Bayesian Networks and Petri Nets in Safety, Reliability, and Risk Assessments: A Review. Safety Science 2019, 115, 154–175, doi:10.1016/j.ssci.2019.02.009.

Shafiee, M.; Enjema, E.; Kolios, A. An Integrated FTA-FMEA Model for Risk Analysis of Engineering Systems: A Case Study of Subsea Blowout Preventers. Applied Sciences 2019, 9, 1192, doi:10.3390/app9061192.

Syrkov, A.V.; Hoj, N.P. Bridge Failures Analysis as a Risk Mitigating Tool. In Proceedings of the Proceedings of the IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimar?es, Portugal, 27-29 March 2019; Guimar?es, Portugal., 2019; Vol. 113, pp. 304–310.

Syrkov, A.V.; Sizikov, A. Enhancing of Bridge Management given Failures Data. In Proceedings of the Proceedings of the IABSE Symposium: Synergy of Culture and Civil Engineering – History and Challenges, Wroc?aw, Poland, 7-9 October 2020; Wroclaw, Poland, 2020; pp. 1173–1180.

Han, X.; Frangopol, D.M. Life-Cycle Risk-Based Optimal Maintenance Strategy for Bridge Networks Subjected to Corrosion and Seismic Hazards. J. Bridge Eng. 2023, 28, 04022128, doi:10.1061/JBENF2.BEENG-5799.

Ariza Flores, V.A.; Zavala Asca?o, G. Quantitative Risk Analysis Framework for Cost and Time Estimation in Road Infrastructure Projects. Infrastructures 2025, 10, 139, doi:10.3390/infrastructures10060139.

Eidsvig, U.; Santamaría, M.; Galv?o, N.; Tanasic, N.; Piciullo, L.; Hajdin, R.; Nadim, F.; Sousa, H.S.; Matos, J. Risk Assessment of Terrestrial Transportation Infrastructures Exposed to Extreme Events. Infrastructures 2021, 6, 163, doi:10.3390/infrastructures6110163.

Lotfi, R.; Vaseei, M.; Ali, S.S.; Davoodi, S.M.R.; Bazregar, M.; Sadeghi, S. Budget Allocation Problem for Projects with Considering Risks, Robustness, Resiliency, and Sustainability Requirements. Results in Engineering 2024, 24, 102828, doi:10.1016/j.rineng.2024.102828.

Proske, D.; Papastergiou, D.; Friedl, H. Discussion of Consequence Parameters for Risk Assessment of Bridges and Retaining Structures. In Proceedings of the 20th International Probabilistic Workshop; Matos, J.C., Louren?o, P.B., Oliveira, D.V., Branco, J., Proske, D., Silva, R.A., Sousa, H.S., Eds.; Springer Nature Switzerland: Cham, 2024; pp. 125–136.

Bridge Maintenance, Safety, Management, Digitalization and Sustainability; Jensen, J.S., Frangopol, D.M., Schmidt, J.W., Eds.; CRC Press: London, 2024; ISBN 978-1-00-348375-5.

Frangopol, D.M.; Kim, S. Life-Cycle Probabilistic Multi-Objective Optimum SHM Planning. In Proceedings of the 20th International Probabilistic Workshop; Matos, J.C., Louren?o, P.B., Oliveira, D.V., Branco, J., Proske, D., Silva, R.A., Sousa, H.S., Eds.; Springer Nature Switzerland: Cham, 2024; pp. 3–11.

Mahmoud, K.M. Risk-Based Strategies for Bridge Maintenance: Proceedings of the 11th New York City Bridge Conference, 21-22 August 2023, New York, USA; 1st ed.; CRC Press: London, 2023; ISBN 978-1-03-263829-4.

Xie, H.-B.; Wu, W.-J.; Wang, Y.-F. Life-Time Reliability Based Optimization of Bridge Maintenance Strategy Considering LCA and LCC. Journal of Cleaner Production 2018, 176, 36–45, doi:10.1016/j.jclepro.2017.12.123.

Matos, J.; Fernandes, S.; Tran Quang, M.; Nguyen, Q.; Baron, E.; Dang, S. Developing a Comprehensive Quality Control Framework for Roadway Bridge Management: A Case Study Approach Using Key Performance Indicators. Applied Sciences 2023, 13, 7985, doi:10.3390/app13137985.

Yousof Gholipour; Mohsen Zare; Majid Vaziri Sereshk; Yasser Gholipour A Comprehensive Review of Maintenance Strategies: From Reactive to Proactive Approaches. CAC 2025, 26, 70–83, doi:10.61841/ca-c.70-83.

Cheikh, K.; Boudi, E.M.; Rabi, R.; Mokhliss, H. Balancing the Maintenance Strategies to Making Decisions Using Monte Carlo Method. MethodsX 2024, 13, 102819, doi:10.1016/j.mex.2024.102819.

Syrkov, A.V.; Krutikov, O.V. Optimization of the Life Cycle of the Bridge to Russky Island in Vladivostok by Means of Risk Analysis and Monitoring. Automation in Industry 2012, 45–50.

Research Report: Analysis of National and Interstate Regulatory Documents for the Operation and Technical Diagnostics of Cable-Stayed Systems (in Russian); 2020; p. 162;.

Acceptance of Stay Cable Systems Using Prestressing Steels. Recommendations; fib Bulletin; fib, 2019;

Eurocode 3 – Design of Steel Structures. Part 1-11: Design of Structures with Tension Components, EN 1993-1-11:2006; 2006.

Surveillance et Entretien Des Ouvrages d’art. 2ème Partie. Fascicule 34-2. Ponts à Haubans.; 2008;

Cable Stays. Recommendations of French Inter-Ministerial Commission on Prestressing; Setra: Service d’études Techniques des Routes et Autoroutes., 2002;

Inspection and Maintenance of Bridge Stay Cable Systems: A Synthesis of Highway Practice; National Cooperative Highway Research Program, 2005;

Proske, D. Bridge Collapse Frequencies versus Failure Probabilities; Springer, 2018;

Calvi, G.M.; Moratti, M.; O’Relly, G.J. Once upon a Time in Italy: The Tale of the Morandi Bridge. Structural Engineering International 2019, 29, 198–216, doi:10.1080/10168664.2018.1558033.

GOST R 58137-2018. Public Highways. Guide for Risk Assessment During Life Cycle; 2018.

GOST R 59629-2021. Public Highways. Cable Systems of Bridge Structures. Requirements for Operation; 2021.

GOST R 59943-2021. Public Highways. Bridge Structure Monitoring Systems. Design Rules; 2021.

SP 274.1325800.2016. Bridges. Monitoring of Technical Condition; 2016.

SP 79.13330.2012. SNiP 3.06.07-86. Bridges and Pipes. Rules for Inspection and Testing; 2012.

ODM 218.4.001-2008. Methodological Recommendations for the Organization of Inspection and Testing of Bridge Structures on Highways; 2008.

GOST R 55612-2013. Non-Destructive Magnetic Testing. Terms and Definitions; 2018.

RD 03-348-00. Methodological Instructions for Magnetic Defectoscopy of Steel Ropes. Basic Provisions 2015.

GOST 20415-82. Non-Destructive Testing. Acoustic Methods. General Provisions; 1983.

Wit, M.; Hovhanessian, G. Defect Detection in Strand Wires within the Anchorage Area of High Tensioned Cables. In Proceedings of the IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland; 2015; pp. 1408–1411.

JCSS Probabilistic Model Code. Part I – Basis of Design; Joint Committee on Structural Safety, 2001; Vol. 1; ISBN 978-3-909386-79-6.

Ormando, C.; Lucaferri, V.; Giocoli, A.; Clemente, P.; Buffarini, G.; Tofani, A. Index of Attention for a Simplified Condition Assessment and Classification of Bridges. Infrastructures 2024, 9, 125, doi:10.3390/infrastructures9080125.

Kozak, N.; Matos, J.C.; Rudakov, I.; Zolotov, V.; Zobova, M. Reliability of Composite Bridge Superstructures with Fatigue-Degraded Shear Connectors. Structural Engineering International 2026, TSEI 2676160, doi:10.1080/10168664.2026.2676160.

Pallante, L.; Meriggi, P.; D’Amico, F.; Gagliardi, V.; Napolitano, A.; Paolacci, F.; Quinci, G.; Lorello, M.; Felice, G. de An Integrated Data-Driven System for Digital Bridge Management. Buildings 2024, 14, doi:10.3390/buildings14010253.

Tan, Z.; Gou, H.; Li, W.; Peng, Y.; Wang, J.; Pu, Q.; Bao, Y. Digital Twin-Based Cyber-Physical System for Intelligent Monitoring and Predictive Operation of Long-Span High-Speed Railway Arch Bridges. Structures 2025, 82, 110609, doi:10.1016/j.istruc.2025.110609.

Zorochkin, O. Reliability Assessment Methodology for Steel-Concrete Composite Structures of Road Bridges on Public Highways. Master Thesis, Saint Petersburg State University of Architecture and Civil Engineering: St. Petersburg, Russia, 2026.

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图1主要系统原理图1
Fig.1Main system schematic diagram

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