Volume 39 Issue 3
Jun.  2025
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Li Xiaofeng, Wang Binghua, Xu Jianhang, Zhang Xianmeng. Surface settlement prediction and application of short-distance twin-bore tunnels[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2025, 39(3): 353-360. doi: 10.20265/j.cnki.issn.1007-2993.2024-0191
Citation: Li Xiaofeng, Wang Binghua, Xu Jianhang, Zhang Xianmeng. Surface settlement prediction and application of short-distance twin-bore tunnels[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2025, 39(3): 353-360. doi: 10.20265/j.cnki.issn.1007-2993.2024-0191

Surface settlement prediction and application of short-distance twin-bore tunnels

doi: 10.20265/j.cnki.issn.1007-2993.2024-0191
  • Received Date: 2024-05-07
  • Accepted Date: 2024-12-11
  • Rev Recd Date: 2024-12-10
  • Publish Date: 2025-06-09
  • Accurate prediction of ground surface settlement and displacement during the construction of closely spaced twin-bore metro tunnels is critical for mitigating dynamic hazards induced by subsurface excavation. This study refines the stochastic medium theory by developing an optimized algorithm that integrates three key factors: tunnel cross-section convergence modes, spatial positioning of twin-bore tunnels, and variations in tunnel cross-sectional geometries. Validation was conducted through comparative analysis of settlement monitoring data and theoretical predictions across three engineering case studies. The findings demonstrate that the optimized algorithm applies to scenarios where the span-to-breadth ratio (L/B) is below 7. The stochastic medium simplified theoretical prediction curve and the settlement monitoring curve are better fitted, the maximum settlement position and the trend is consistent with the settlement monitoring curve. The theoretical prediction curve settlement groove width is consistent with the settlement monitoring curve settlement groove width. The optimal algorithm and the settlement monitoring data have good consistency, which can provide reference for the project.

     

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