Investigation of the spatial distribution of tunnel seepage under varying drainage capacities in water-abundant regions

• The effect of geological and tunnel permeability parameters on tunnel drainage capacity were studied through model tests. • The evolution of the tunnel discharge and tunnel external water pressure under varying conditions were obtained. • The evaluation of the tunnel water pressure spatial distribution was studied. Effective control of the tunnel seepage field is crucial in water-abundant regions to ensure the safety and stability of underground structures. Therefore, it is imperative to investigate the effects of the geological factors and tunnel permeability parameters on the drainage capacities of such structures. The Tongzi Tunnel was subjected to model tests using a self-developed testing apparatus to investigate the spatial distribution of tunnel seepage under varying conditions of sand permeability, number of primary support layers, and number of primary support openings. Subsequently, numerical models were developed to validate the observed tunnel seepage field based on experimental conditions. On this basis, an effective water pressure ratio η is proposed to evaluate the hydraulic safety of the tunnel spatial distribution. The results indicated a positive correlation between the tunnel water discharge and sand permeability, primary support layers, and primary support openings. Among these factors, the primary support openings exhibited the highest sensitivity to tunnel water discharge, whereas the impact of the primary support layers was relatively low. Additionally, the external water pressure in the tunnel exhibited a negative correlation with sand permeability, primary support layers, and primary support openings. The sensitivity ranking of the structural water pressure fluctuations to the parameters is as follows: primary support openings > sand permeability > primary support layers. Furthermore, the longitudinal water pressure values in the tunnel gradually increase from Section A (circular drainage section) to Section B (middle circular drainage section). Model tests and numerical simulations were performed to demonstrate the data reliability. Finally, with the increase of sand permeability and the number of primary support openings, the effective drainage area ( η < 0.6) around the tunnel spatial gradually expands. Besides, the tunnel longitudinal effective drainage interval progressively degrades from the vault (A1 area) to the tunnel bottom (A7 area), and even the tunnel bottom areas are not effectively drained ( η > 0.6).

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Publication Details

Journal
Underground Space
Published
2025-06-11
DOI
https://doi.org/10.1016/j.undsp.2025.02.010
Citations
9
Primary Topic
Geotechnical Engineering and Analysis
Type
article
Field-Weighted Citation Impact
11.73

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article

Investigation of the spatial distribution of tunnel seepage under varying drainage capacities in water-abundant regions

Siqing Wang, Chongbang Xu, Pengfei Li, Qing Xu et al.
9 citations
Underground Space
Geotechnical Engineering and Analysis
11.73
article

Investigation of the spatial distribution of tunnel seepage under varying drainage capacities in water-abundant regions

Siqing Wang, Chongbang Xu, Pengfei Li, Qing Xu, Sulei Zhang
article en
9 citations

Abstract

• The effect of geological and tunnel permeability parameters on tunnel drainage capacity were studied through model tests. • The evolution of the tunnel discharge and tunnel external water pressure under varying conditions were obtained. • The evaluation of the tunnel water pressure spatial distribution was studied. Effective control of the tunnel seepage field is crucial in water-abundant regions to ensure the safety and stability of underground structures. Therefore, it is imperative to investigate the effects of the geological factors and tunnel permeability parameters on the drainage capacities of such structures. The Tongzi Tunnel was subjected to model tests using a self-developed testing apparatus to investigate the spatial distribution of tunnel seepage under varying conditions of sand permeability, number of primary support layers, and number of primary support openings. Subsequently, numerical models were developed to validate the observed tunnel seepage field based on experimental conditions. On this basis, an effective water pressure ratio η is proposed to evaluate the hydraulic safety of the tunnel spatial distribution. The results indicated a positive correlation between the tunnel water discharge and sand permeability, primary support layers, and primary support openings. Among these factors, the primary support openings exhibited the highest sensitivity to tunnel water discharge, whereas the impact of the primary support layers was relatively low. Additionally, the external water pressure in the tunnel exhibited a negative correlation with sand permeability, primary support layers, and primary support openings. The sensitivity ranking of the structural water pressure fluctuations to the parameters is as follows: primary support openings > sand permeability > primary support layers. Furthermore, the longitudinal water pressure values in the tunnel gradually increase from Section A (circular drainage section) to Section B (middle circular drainage section). Model tests and numerical simulations were performed to demonstrate the data reliability. Finally, with the increase of sand permeability and the number of primary support openings, the effective drainage area ( η < 0.6) around the tunnel spatial gradually expands. Besides, the tunnel longitudinal effective drainage interval progressively degrades from the vault (A1 area) to the tunnel bottom (A7 area), and even the tunnel bottom areas are not effectively drained ( η > 0.6).

Underground SpaceVol. 23
Beijing University of Technology (CN), Ministry of Transport (CN), Research Institute of Highway (CN), Beijing Municipal Engineering Design and Research Institute (China) (CN), Qingdao University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality
Clean water and sanitation
Openalex Percentile: Top 1%
Geotechnical Engineering and Analysis
11.73
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