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December 4, 2025Canadian Geotechnical Journal5 citations

Optimizing methods of excavation dewatering for deformation control in strata with leaky aquifers: A case study in Tianjin, China

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XCXuesong ChengCLChang LiuJAJianguo An

Key Points

  • Building settlement was reduced from 26 mm to 3 mm with an optimized mitigation strategy combining deep-shallow-wells with recharge.
  • Excavation dewatering in studies of leaky aquifers led to a significant groundwater level drop of 4 m.
  • Countermeasures involving numerical simulation showed that mixed wells can exceed aquifer drawdown requirements.
  • Early adaptation of optimized methods indicates potential benefits for construction projects near leaky aquifers.

Abstract

Excavation mostly adopts mixed wells that simultaneously extracts phreatic and confined water when the aquifer is close the excavation base. However, it usually leads to excessive deformation with leaky aquifers. Currently, there is a lack of research and countermeasures for this problem. This study analysed striking influences caused by excavation dewatering with leaky aquifers. When excavation reached 8 m depth, the groundwater level outside dropped 4 m, exceeding the 1 m allowable fluctuation and causing about 14 mm building settlement. A countermeasure, adopting deep-shallow-well while incorporating groundwater recharge, was proposed. Its mechanisms and advantages were also discussed through numerical simulation, and it was subsequently verified in the engineering project. The mixed-well scheme induced greater confined aquifer drawdown (approximately 270% above requirement) and advanced pressure relief (approximately 74 days earlier) than the deep-shallow-well scheme. External recharge can protect effectively adjacent buildings. Early adoption of the optimized scheme could reduce settlement from 26 mm to 3 mm due to the difference between soil compression and rebound modulus. Therefore, for excavation projects in leaky aquifers, the mitigation strategy combining deep-shallow-wells with recharge is recommended.

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Cite This Study

Cheng et al. (2025) studied this question.

synapsesocial.com/papers/6930e8bdea1aef094cca3122https://doi.org/10.1139/cgj-2025-0520
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