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Method for Diagnosing the Uneven Settlement of a Rail Transit Tunnel Based on the Spatial Correlation of High-Density Strain Measurement Points

Author

Listed:
  • Hu Li

    (School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
    Jinan Rail Transit Group Co., Jinan 250014, China)

  • Qianen Xu

    (School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)

  • Yang Liu

    (School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)

Abstract

Rail transit tunnels span long distances, are large-scale structures and pass through complicated geological conditions; thus, the risk of uneven settlement cannot be ignored. To address this issue, a method for diagnosing the uneven settlement of regional railway tunnels based on the spatial correlation of high-density strain measurement points is proposed in this study. First, with the distributed optical fiber sensing technology, a method for determining the intervals of strain measurement points with strong spatial correlations is proposed based on a support vector machine. Second, combined with the statistical analysis of the influence range of the uneven settlement of a tunnel, an algorithm for diagnosing the uneven settlement of regional railway tunnels based on the spatial correlation of high-density strain measurement points is proposed. Finally, the effectiveness of the proposed method is verified by numerical simulation and actual tunnel data.

Suggested Citation

  • Hu Li & Qianen Xu & Yang Liu, 2021. "Method for Diagnosing the Uneven Settlement of a Rail Transit Tunnel Based on the Spatial Correlation of High-Density Strain Measurement Points," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9245-:d:616422
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    References listed on IDEAS

    as
    1. Zhengde Wei & Yanpeng Zhu, 2021. "A Theoretical Calculation Method of Ground Settlement Based on a Groundwater Seepage and Drainage Model in Tunnel Engineering," Sustainability, MDPI, vol. 13(5), pages 1-12, March.
    2. Danial Jahed Armaghani & Panagiotis G. Asteris & Behnam Askarian & Mahdi Hasanipanah & Reza Tarinejad & Van Van Huynh, 2020. "Examining Hybrid and Single SVM Models with Different Kernels to Predict Rock Brittleness," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
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