IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v236y2022i1p79-89.html
   My bibliography  Save this article

A reliability assessment approach for slab track structure based on vehicle-track dynamics and surrogate model

Author

Listed:
  • Zai-Wei Li
  • Xiao-Zhou Liu
  • Si-Xin Chen

Abstract

The reliability assessment of rail infrastructure is directly related to the safety and effectiveness of railway transportation and critical for railway management department. This paper presents an approach for service reliability analysis of slab track from the point of view of the vehicle-track system operational safety. The vehicle-track dynamics is simulated by the established finite element model (FEM) and the limit state function (LSF) is defined on the danger of derailment. To reflect the real state of track geometric condition, the track irregularity spectrums (TISs) are extracted from the measured track irregularity data and fitted by the seven-parameter formula. Then, a set of time series can be obtained from the TISs using a binary wavelet-based inversion method and then input to the FEM to obtain the value of LSF. Finally, Monte Carlo simulation (MCS) is used in the calculation of track reliability. To overcome the slow convergence of the vehicle-track models, this study develops a surrogate model based on support vector machine (SVM). It is validated that the established SVM can well approximate the relationship between the track irregularities to the derailment coefficients in terms of small error and high correlation. More importantly, the efficiency is more than 1000 times higher than traditional FEM. This is a pioneering study to incorporate vehicle-track dynamics into the reliability assessment of slab track in service. For a 1024-m section of slab track, results show that its reliability index can satisfy the requirement in specifications.

Suggested Citation

  • Zai-Wei Li & Xiao-Zhou Liu & Si-Xin Chen, 2022. "A reliability assessment approach for slab track structure based on vehicle-track dynamics and surrogate model," Journal of Risk and Reliability, , vol. 236(1), pages 79-89, February.
    • Handle: RePEc:sae:risrel:v:236:y:2022:i:1:p:79-89
    DOI: 10.1177/1748006X211028405
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X211028405
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1748006X211028405?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Macchi, Marco & Garetti, Marco & Centrone, Domenico & Fumagalli, Luca & Piero Pavirani, Gian, 2012. "Maintenance management of railway infrastructures based on reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 71-83.
    2. J Zhao & A H C Chan & M P N Burrow, 2007. "Reliability analysis and maintenance decision for railway sleepers using track condition information," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(8), pages 1047-1055, August.
    3. Rhayma, N. & Bressolette, Ph. & Breul, P. & Fogli, M. & Saussine, G., 2013. "Reliability analysis of maintenance operations for railway tracks," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 12-25.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ahlam H. Tolba & Osama Abdulaziz Alamri & Hanan Baaqeel, 2024. "Assessing the Bridge Structure’s System Reliability Utilizing the Generalized Unit Half Logistic Geometric Distribution," Mathematics, MDPI, vol. 12(19), pages 1-21, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sedghi, Mahdieh & Kauppila, Osmo & Bergquist, Bjarne & Vanhatalo, Erik & Kulahci, Murat, 2021. "A taxonomy of railway track maintenance planning and scheduling: A review and research trends," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Li, Zai-Wei & Zhou, Yun-Lai & Liu, Xiao-Zhou & Abdel Wahab, Magd, 2023. "Service reliability assessment of ballastless track in high speed railway via improved response surface method," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    3. Saleh, Ali & Remenyte-Prescott, Rasa & Prescott, Darren & Chiachío, Manuel, 2024. "Intelligent and adaptive asset management model for railway sections using the iPN method," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    4. Chao Fang & Piao Dong & Yi-Ping Fang & Enrico Zio, 2020. "Vulnerability analysis of critical infrastructure under disruptions: An application to China Railway High-speed," Journal of Risk and Reliability, , vol. 234(2), pages 235-245, April.
    5. Cárdenas-Gallo, Iván & Sarmiento, Carlos A. & Morales, Gilberto A. & Bolivar, Manuel A. & Akhavan-Tabatabaei, Raha, 2017. "An ensemble classifier to predict track geometry degradation," Reliability Engineering and System Safety, Elsevier, vol. 161(C), pages 53-60.
    6. Bressi, Sara & Santos, João & Losa, Massimo, 2021. "Optimization of maintenance strategies for railway track-bed considering probabilistic degradation models and different reliability levels," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    7. Suyog S. Patil & Anand K. Bewoor & Ravinder Kumar & Mohammad Hossein Ahmadi & Mohsen Sharifpur & Seepana PraveenKumar, 2022. "Development of Optimized Maintenance Program for a Steam Boiler System Using Reliability-Centered Maintenance Approach," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    8. Hong, Liu & Ouyang, Min & Peeta, Srinivas & He, Xiaozheng & Yan, Yongze, 2015. "Vulnerability assessment and mitigation for the Chinese railway system under floods," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 58-68.
    9. Rhayma, N. & Bressolette, Ph. & Breul, P. & Fogli, M. & Saussine, G., 2013. "Reliability analysis of maintenance operations for railway tracks," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 12-25.
    10. Yu, Huan & Yang, Jun & Peng, Rui & Zhao, Yu, 2016. "Reliability evaluation of linear multi-state consecutively-connected systems constrained by m consecutive and n total gaps," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 35-43.
    11. Cancela, Héctor & Guerberoff, Gustavo & Robledo, Franco & Romero, Pablo, 2021. "Analysis and reliability of separable systems," Operations Research Perspectives, Elsevier, vol. 8(C).
    12. Cats, Oded & Koppenol, Gert-Jaap & Warnier, Martijn, 2017. "Robustness assessment of link capacity reduction for complex networks: Application for public transport systems," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 544-553.
    13. Jiang, Xiuhong & Duan, Fuhai & Tian, Heng & Wei, Xuedong, 2015. "Optimization of reliability centered predictive maintenance scheme for inertial navigation system," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 208-217.
    14. Alebrant Mendes, Angélica & Duarte Ribeiro, José Luis, 2014. "Establishment of a maintenance plan based on quantitative analysis in the context of RCM in a JIT production scenario," Reliability Engineering and System Safety, Elsevier, vol. 127(C), pages 21-29.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:risrel:v:236:y:2022:i:1:p:79-89. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.