IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i4p1810-d1065620.html
   My bibliography  Save this article

Static and Dynamic Analysis of Conductor Rail with Large Cross-Sectional Moment of Inertia in Rigid Catenary Systems

Author

Listed:
  • Xiaohe Feng

    (Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China
    National Rail Transit Electrification and Automation Engineering Technique Research Centre, Southwest Jiaotong University, Chengdu 610031, China)

  • Shibin Gao

    (Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China
    National Rail Transit Electrification and Automation Engineering Technique Research Centre, Southwest Jiaotong University, Chengdu 610031, China)

  • Yang Song

    (State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China
    Department of Built Environment, Oslo Metropolitan University, 7491 Oslo, Norway)

  • Zeyao Hu

    (Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China)

  • Long Chen

    (Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China)

  • Tao Liang

    (Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

The rigid catenary system is widely used in tunnels to power electric trains via contact with a pantograph. Due to gravity, the contact wire normally has a sag that may affect the dynamic interaction performance with a pantograph. To reduce the contact wire sag, the most efficient measure is to improve the moment of inertia of the conductor rail, which is used to clamp the contact wire. Six new types of conductor rail with large moments of inertia are developed based on a conventional conductor rail. Then both the static and dynamic analyses are conducted to investigate the performance of the new types of conductor rail with a big moment of inertia. The conductor rail’s 3D solid finite element model is built using a finite element approach. The vertical deflection and the stress distribution are comparatively analyzed among different types of conductor rail. The analysis results indicate that the vertical deflection and maximum stress are significantly reduced when using the conductor rail with a large moment of inertia. The best performance is observed when the conductor rail of case 1 is used. The maximum sag is reduced by 28.37%, and the maximum stress is decreased by 27.76% compared with the conventional conductor. Finally, a pantograph model is included to evaluate the dynamic performance of the conductor rail with large moments of inertia. The results indicate that contact force fluctuation is significantly reduced after the conductor rails with large moments of inertia are presented. The conductor rail of case 1 shows the best performance, which can reduce the contact force standard deviation by 32% and 27% at speeds of 160 km/h and 200 km/h.

Suggested Citation

  • Xiaohe Feng & Shibin Gao & Yang Song & Zeyao Hu & Long Chen & Tao Liang, 2023. "Static and Dynamic Analysis of Conductor Rail with Large Cross-Sectional Moment of Inertia in Rigid Catenary Systems," Energies, MDPI, vol. 16(4), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1810-:d:1065620
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/4/1810/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/4/1810/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zelin Zhang & Zhiwei Zhang & Yang Liu & Lei Wang & Xuhui Xia, 2021. "Deep learning-based image classification of gas coal," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 43(4), pages 371-386.
    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. Ke Chen & Yang Song & Xiaobing Lu & Fuchuan Duan, 2023. "Sensitivity Analysis and Optimisation of Key Parameters for Railway Rigid Overhead System and Pantograph," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    2. Valery Ochkov & Inna Vasileva & Ekaterina Borovinskaya & Wladimir Reschetilowski, 2023. "Application of STEM Technologies on the Example of the Problem of a Thread with a Load," Mathematics, MDPI, vol. 11(12), pages 1-20, June.

    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. Xin Wei & Lulu Zhang & Junyao Luo & Dongsheng Liu, 2021. "A hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 471-497, October.

    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:gam:jeners:v:16:y:2023:i:4:p:1810-:d:1065620. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.