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An Analytical Method for Groundwater Inflow into a Drained Circular Tunnel.

Kai Su¹, Yafeng Zhou^1,2, Hegao Wu¹

¹State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 299 BaYi Road, Wuhan, 430072, China.

|March 23, 2017

Summary

This study introduces a new semi-analytical method to accurately predict groundwater inflow and water level changes around tunnels. The improved method accounts for excavation-induced drawdown, offering better predictions than traditional approaches.

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Area of Science:

Geotechnical Engineering
Hydrogeology
Civil Engineering

Background:

Accurate groundwater inflow estimation is critical for tunnel design and environmental impact assessment.
Current analytical methods often fail to account for excavation-induced drawdown, leading to inaccurate predictions of water level reduction and inflow rates.

Purpose of the Study:

To develop a more accurate semi-analytical method for predicting groundwater inflow and the height of the lowered water level around tunnels.
To incorporate the effects of excavation-induced drawdown into groundwater flow analysis for tunnels.

Main Methods:

Conceptualizing the tunnel problem as two-dimensional flow in a plane perpendicular to the tunnel axis.
Utilizing numerical analysis results to develop a semi-analytical prediction model.
Deriving an analytical formula that explicitly considers excavation-induced drawdown.

Main Results:

The proposed semi-analytical method provides a more accurate prediction of tunnel groundwater inflow compared to existing analytical formulas.
The method demonstrates improved accuracy even for scenarios with inclined groundwater levels.
The developed formula effectively captures the impact of excavation-induced drawdown on pore water pressure and water levels.

Conclusions:

The novel semi-analytical method offers a significant advancement in estimating groundwater inflow for tunnel engineering.
Accounting for excavation-induced drawdown is essential for reliable tunnel design and environmental impact assessments.
This approach enhances the predictability of groundwater behavior around tunnels, particularly in complex hydrogeological conditions.