Life-cycle evolution of train running performance on prestressed concrete bridges: a train–track–bridge interaction analysis with material degradation

Lifeng Xin , Yifan Su , Peiyao Fu , Menglin Pei , Lei Xu , Xiaozhen Li , Yuhao Zheng , Dangxiong Wang

Railway Engineering Science ›› : 1 -25.

PDF
Railway Engineering Science ›› :1 -25. DOI: 10.1007/s40534-025-00426-z
Article
research-article
Life-cycle evolution of train running performance on prestressed concrete bridges: a train–track–bridge interaction analysis with material degradation
Author information +
History +
PDF

Abstract

The material degradation of prestressed concrete (PC) bridge structures over time may significantly influence the running performance of trains on the bridge. To address this issue, this paper presents an advanced train–track–bridge (TTB) coupled model that incorporates material degradation of the bridge. The train is modeled as a multi-rigid body system with springs and dampers. The track–bridge system is simulated using the finite element model in OpenSeesPy code, and the nonlinear constitutive relationship of materials is thoroughly considered. Wheel–rail interactions are solved based on the Hertz and modified Kalker creep theory. To validate the model’s accuracy, a comparison is made with an existing well-known TTB model. Based on the validated model, investigations are conducted to analyze the effects of concrete carbonation, corrosion of steel bars, degradation of core concrete, and prestress loss of the PC bridge on the responses of the TTB system. Results show that material degradation has significant impacts on the dynamic behavior of the TTB system, and the stiffness and geometric variations of bridges are the primary controlling factors.

Keywords

Railway dynamics / Train–track–bridge interaction / Material degradation / Train running performance / OpenSeesPy

Cite this article

Download citation ▾
Lifeng Xin, Yifan Su, Peiyao Fu, Menglin Pei, Lei Xu, Xiaozhen Li, Yuhao Zheng, Dangxiong Wang. Life-cycle evolution of train running performance on prestressed concrete bridges: a train–track–bridge interaction analysis with material degradation. Railway Engineering Science 1-25 DOI:10.1007/s40534-025-00426-z

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Chen L, Wen W. China Railway Bridges (1980–2020), 2020, Beijing. China Railway Publishing Housein Chinese

[2]

Fan Y, Cao X, Chen H. Protection and repair of steel corrosion in concrete, 2001, Beijing. China Railway Publishing Housein Chinese

[3]

Hao T (2001) Analysis and treatment plan for the deterioration of prestressed concrete beams of Shijiazhuang Baikong Bridge on the Beijing–Guangzhou Railway. Internal Information of the National Industrial Building Diagnosis and Renovation Engineering Technology Research Center (in Chinese)

[4]

Cui L (2018) Simulation analysis and countermeasures for typical diseases of high-speed railway concrete girder bridge. Dissertation, Southwestern Jiaotong University (in Chinese)

[5]

Barone G, Frangopol DM, Soliman M. Optimization of life-cycle maintenance of deteriorating bridges with respect to expected annual system failure rate and expected cumulative cost. J Struct Eng, 2014, 140(2): 04013043

[6]

Fu P, Li X, Xu L, et al. . Life-cycle seismic damage identification and components damage sequences prediction for cable-stayed bridge based on fragility analyses. Bull Earthquake Eng, 2021, 19(15): 6669-6692

[7]

Du G, Karoumi R. Life cycle assessment framework for railway bridges: literature survey and critical issues. Struct Infrastruct Eng, 2014, 10(3): 277-294

[8]

Luo YK, Zhang JX, Dong Y et al (2025) Physics-guided life-cycle maintenance framework for rail corrugation. Struct Infrastruct Eng 1–17

[9]

Zhai W, Han Z, Chen Z, et al. . Train–track–bridge dynamic interaction: a state-of-the-art review. Veh Syst Dyn, 2019, 57(7): 984-1027

[10]

Li X, Xin L, Wang M, et al. . State-of-the-art review of vehicle–bridge interactions in 2019. J Civ Environ Eng, 2020, 42(05): 126-138

[11]

Zhai W, Xia H, Cai C, et al. . High-speed train–track–bridge dynamic interactions–Part I: theoretical model and numerical simulation. Int J Rail Transp, 2013, 1(1–2): 3-24

[12]

Lou P, Yu ZW, Au FTK. Rail–bridge coupling element of unequal lengths for analysing train–track–bridge interaction systems. Appl Math Model, 2012, 36(4): 1395-1414

[13]

Zhang N, Xia H, Guo W. Vehicle–bridge interaction analysis under high-speed trains. J Sound Vib, 2008, 309(3–5): 407-425

[14]

Zeng ZP, Liu FS, Wang WD. Three-dimensional train–track–bridge coupled dynamics model based on the explicit finite element method. Soil Dyn Earthq Eng, 2022, 153 107066

[15]

Zhu Z, Gong W, Wang L, et al. . Efficient assessment of 3D train–track–bridge interaction combining multi-time-step method and moving track technique. Eng Struct, 2019, 183: 290-302

[16]

Guo WW, Xia H, De Roeck G, et al. . Integral model for train-track-bridge interaction on the Sesia viaduct: dynamic simulation and critical assessment. Comput Struct, 2012, 112–113: 205-216

[17]

Yang SC, Hwang SH. Train-track-bridge interaction by coupling direct stiffness method and mode superposition method. J Bridge Eng, 2016, 21(10): 04016058

[18]

Zhang N, Xia H, Guo WW, et al. . A vehicle–bridge linear interaction model and its validation. Int J Struct Stab Dyn, 2010, 10(2): 335-361

[19]

Xu L, Zhai W. A three-dimensional model for train-track-bridge dynamic interactions with hypothesis of wheel-rail rigid contact. Mech Syst Signal Process, 2019, 132: 471-489

[20]

Luo YK, Zhou L, Ni YQ. Towards the understanding of wheel–rail flange squeal: in situ experiment and genuine 3D profile-enhanced transient modelling. Mech Syst Signal Process, 2022, 180 109455

[21]

Zhai W-M. Two simple fast integration methods for large-scale dynamic problems in engineering. Int J Numer Meth Engng, 1996, 39(24): 4199-4214

[22]

Zhu Z, Gong W, Wang L, et al. . A hybrid solution for studying vibrations of coupled train–track–bridge system. Adv Struct Eng, 2017, 20(11): 1699-1711

[23]

Gong W, Zhu Z, Wang K, et al. . A real-time co-simulation solution for train–track–bridge interaction. J Vib Control, 2021, 27(13/14): 1606-1616

[24]

Tang JY, Guo W, Wang Y, et al. . A co-simulation method for the train-track-bridge interaction analysis under earthquake using Simpack and OpenSees. J Cent South Univ, 2022, 29(8): 2791-2806

[25]

Wu J, Han B, Zhang Y, et al. . Enhancing bolt object detection via AIGC-driven data augmentation for automated construction inspection. Buildings, 2025, 15(5): 819

[26]

Zhu J, Cheng W, Zhang T, et al. . Machine learning-empowered intelligent vehicle–bridge systems: current status and future prospects. Structures, 2025, 74 108598

[27]

Zhang P, Zhao H, Shao Z, et al. . A novel graph neural network framework with self-evolutionary mechanism: application to train–bridge coupled systems. Adv Eng Softw, 2024, 197 103751

[28]

Zhang P, Zhao H, Shao Z, et al. . Enhanced multi-scenario running safety assessment of railway bridges based on graph neural networks with self-evolutionary capability. Eng Struct, 2024, 319 118785

[29]

Xiang P, Peng X, Xie X, et al. . Adaptive GN block-based model for seismic response prediction of train-bridge coupled systems. Structures, 2024, 66 106822

[30]

Şimşek M, Kocatürk T. Nonlinear dynamic analysis of an eccentrically prestressed damped beam under a concentrated moving harmonic load. J Sound Vib, 2009, 320(1/2): 235-253

[31]

Li Q, Xu YL, Wu DJ, et al. . Computer-aided nonlinear vehicle–bridge interaction analysis. J Vib Control, 2010, 16(12): 1791-1816

[32]

Xiang P, Huang W, Jiang L, et al. . Investigations on the influence of prestressed concrete creep on train-track-bridge system. Constr Build Mater, 2021, 293 123504

[33]

Xiang P, Wei M, Sun M, et al. . Creep effect on the dynamic response of train–track–continuous bridge system. Int J Struct Stab Dyn, 2021, 21(10): 2150139

[34]

Chen Z. Dynamic contact between CRTS II slab track and bridge due to time-dependent effect of bridge and its influence on train–track–bridge interaction. Eng Struct, 2021, 234 111974

[35]

Xu L, Yu Z, Shan Z. Numerical simulation for train–track–bridge dynamic interaction considering damage constitutive relation of concrete tracks. Arch Civ Mech Eng, 2021, 21(3): 116

[36]

Tong LY, Cai Y, Liu QF. Carbonation modelling of hardened cementitious materials considering pore structure characteristics: a review. J Build Eng, 2024, 96 110547

[37]

Niu D. Durability and life forecast of reinforced concrete structure, 2003, Beijing. Science Pressin Chinese

[38]

Goyal A, Pouya HS, Ganjian E, et al. . A review of corrosion and protection of steel in concrete. Arab J Sci Eng, 2018, 43(10): 5035-5055

[39]

Yassin MHM (1994) Nonlinear analysis of prestressed concrete structures under monotonic and cyclic loads. University of California

[40]

Scott BD, Park R, Priestley MJN. Stress–strain behavior of concrete confined by overlapping hoops at low and high strain rates. Journal Proceedings, 1982, 79(1): 13-27

[41]

Saatcioglu M, Razvi SR (1992) Strength and ductility of confined concrete. J Struct Eng 118(6):1590–1607

[42]

Li T, Liu XL. Durability design of reinforced concrete structure. Civ Eng, 1994, 27(2): 47-55(in Chinese)

[43]

MOHURD. GB 50010–2010: Code for design of concrete structures, 2010, Beijing. China Architecture and Building Press

[44]

Kottari AK, Shing PB. Estimation of long-term prestress losses in post-tensioned girders. ACI Struct J, 2014, 111(5): 1091-1100

[45]

CEN (2004) EN 1992-1-1. Eurcode2: Design of concrete structures. European Committee for Standardization, Brussels, Belgium

[46]

AASHTO (2004) AASHTO-L-RFD bridge design specifications. American Association of State Highway and Transportations, Washington DC, USA

[47]

CSA (2000) CSA S6:19, Canadian highway bridge design code. Canadian Standard Association, Ontraio, Canada

[48]

SAI. AS 3600–2001: Australian standard concrete structures, 2001, Sydney, Australia. Standards Australia International Ltd

[49]

Han W, Tian P, Lv Y, et al. . Long-term prestress loss calculation considering the interaction of concrete shrinkage, concrete creep, and stress relaxation. Materials, 2023, 16(6): 2452

[50]

OpenSees (2025) OpenSees: Open system for earthquake engineering simulation. https://opensees.berkeley.edu. Accessed 6 Jun 2025

[51]

Wang K. The track of wheel contact points and the calculation of wheel/rail geometric contact parameters. J Southwest Jiaotong Univ, 1984, 1984(1): 89-98in Chinese

[52]

Zhai W. Vehicle–track coupled dynamics: theory and applications, 2020, Singapore. Springer

[53]

Xu L, Zhai W. A novel model for determining the amplitude-wavelength limits of track irregularities accompanied by a reliability assessment in railway vehicle-track dynamics. Mech Syst Signal Process, 2017, 86: 260-277

[54]

Xin L, Zhang J, Wan Z, et al. . A practical approach to train–bridge system performance evaluation with consideration of random uncertainty and weighted evaluation indexes. Eng Struct, 2023, 291 116413

[55]

Kent DC, Park R. Flexural members with confined concrete. J Struct Div, 1971, 97(7): 1969-1990

[56]

Filippou FC, Popov EP, Bertero VV (1983) Effects of bond deterioration on hysteretic behavior of reinforced concrete joints. Report No. UCB/EERC-83/19, Earthquake Engineering Research Center, University of California, Berkeley

[57]

Menegotto M (1973) Method of analysis for cyclically loaded R. C. plane frames including changes in geometry and non-elastic behavior of elements under combined normal force and bending. In: IABSE (ed) Proceedings of IABSE symposium on resistance and ultimate deformability of structures acted on by well defined repeated loads, Lisbon, 1973. International Association for Bridge and Structural Engineering, Lisbon, pp 111–121

Funding

National Natural Science Foundation of China(52208445)

Fundamental Research Funds for the Central Universities(G2021KY05105)

Open Foundation of National Engineering Laboratory for High Speed Railway Construction(HSR202001)

Guangdong Basic and Applied Basic Research Foundation(2024A1515012569)

Basic Research Program of Natural Science in Shaanxi Province(2022JQ-369)

Youth Talent Support Program Project of Xi'an Association for Science and Technology(959202413090)

RIGHTS & PERMISSIONS

The Author(s)

PDF

0

Accesses

0

Citation

Detail

Sections
Recommended

/