4.6 Article

Numerical evaluation of a 70-m deep hydropower station foundation pit dewatering

期刊

ENVIRONMENTAL EARTH SCIENCES
卷 81, 期 14, 页码 -

出版社

SPRINGER
DOI: 10.1007/s12665-022-10493-8

关键词

Deep foundation pit; Dewatering; Numerical simulation; Field experiment; Dewatering scheme optimization

资金

  1. Shanghai Municipal Science and Technology Project [18DZ1201301, 19DZ1200900]
  2. Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Natural Resources of the People's Republic of China [KLLSMP202101]
  3. Shanghai Municipal Science and Technology Major Project [2021SHZDZX0100]
  4. Suzhou Rail Transit Line 1 Co. Ltd [SURT01YJ1S10002]
  5. Fundamental Research Funds for the Central Universities
  6. Xiamen Road and Bridge Group [XM2017-TZ0151, XM2017-TZ0117]
  7. Key Laboratory of Impact and Safety Engineering (Ningbo University), Ministry of Education [CJ202101]
  8. China Railway 15 Bureau Group Co. ltd.

向作者/读者索取更多资源

In this study, drainage and pumping methods were used to address the excavation of the foundation pit of Yamansu hydropower station. Pumping tests and numerical simulations were conducted to evaluate the dewatering scheme. The optimized dewatering scheme was successfully verified and can serve as a reference for similar engineering projects.
The foundation pit of Yamansu hydropower station has an average depth of 70 m and has been excavated with five-level slopes. Lowering of groundwater level is important in excavation. In this study, drainage and pumping were conducted in dewatering. Pumping tests were performed to reverse hydraulic parameters and calibrate numerical models. Numerical simulations were performed to evaluate the dewatering scheme. In the first stage, powerhouse tailrace canal was excavated and used as a drainage channel to lower the groundwater level. Drawdown and hydraulic gradient were evaluated to prevent potential water inrush, erosion, piping, and slope failure. In the second stage, cutoff wall and pumping wells were evaluated to reduce the groundwater level. The influences of depth, permeability, and thickness of the cutoff wall were evaluated. Dewatering scheme was revised accordingly based on the evaluation. The optimized dewatering scheme, which can be used as a reference in similar engineering projects, was performed and verified successfully.

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