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Fatigue Life Prediction for Semi-Closed Noise Barrier of High-Speed Railway under Wind Load

Author

Listed:
  • Xiaoping Wu

    (Department of Civil Engineering, Central South University, Changsha 410075, China
    Centre for Transportation Studies, University College London, London WC1E6BT, UK)

  • Ye Zhu

    (Department of Civil Engineering, Central South University, Changsha 410075, China)

  • Lingxiao Xian

    (Department of Civil Engineering, Central South University, Changsha 410075, China)

  • Yingkai Huang

    (Department of Civil Engineering, Central South University, Changsha 410075, China)

Abstract

The fatigue state of the semi-closed noise barrier directly affects driving safety, and replacement after damage leads to train delays and increased operating costs. It is more eco-friendly and sustainable to predict the fatigue life of noise barriers to reinforce the structure in time. However, previous life prediction methods provide a limited reference in the design stage. In this study, a novel fatigue life prediction method for noise barriers was proposed. The computational fluid dynamics and finite element model of the semi-closed noise barrier were established and subjected to simulated natural wind and train aerodynamic impulse wind loads to calculate the stress time-history on the noise barrier. Based on the rain flow counting method and Miner linear cumulative fatigue damage theory, the fatigue life of noise barriers in three Chinese cities was predicted. The results show that the fatigue life of the noise barrier is closely related to the wind conditions and train operation modes. Targeted reinforcement for noise barriers in different fatigue states can save materials and reduce maintenance workload. Moreover, the influence of wind load on the noise barrier was summarized, and engineering suggestions on prolonging the fatigue life of noise barriers were put forward.

Suggested Citation

  • Xiaoping Wu & Ye Zhu & Lingxiao Xian & Yingkai Huang, 2021. "Fatigue Life Prediction for Semi-Closed Noise Barrier of High-Speed Railway under Wind Load," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2096-:d:500091
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    References listed on IDEAS

    as
    1. Jinwooung Kim & Sung-Ah Kim, 2020. "Lifespan Prediction Technique for Digital Twin-Based Noise Barrier Tunnels," Sustainability, MDPI, vol. 12(7), pages 1-14, April.
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    Cited by:

    1. Krzysztof Polak & Jarosław Korzeb, 2021. "Identification of the Major Noise Energy Sources in Rail Vehicles Moving at a Speed of 200 km/h," Energies, MDPI, vol. 14(13), pages 1-19, July.

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