Rock and Soil Mechanics ›› 2019, Vol. 40 ›› Issue (4): 1526-1534.doi: 10.16285/j.rsm.2017.2361

• Geotechnical Engineering • Previous Articles     Next Articles

Solution to seepage monitoring data deficiency and judgement of seepage stability

XU Qiang1, 2, XIAO Ming1, 2, CHEN Jun-tao1, 2, NI Shao-hu3   

  1. 1. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, Hubei 430072, China; 2. Key Laboratory of Rock Mechanics in Hydraulic Structural Engineering of Ministry of Education, Wuhan University, Wuhan, Hubei 430072, China; 3. PowerChina Huadong Engineering Corporation Limited, Hangzhou, Zhejiang 310014, China
  • Received:2017-11-27 Online:2019-04-11 Published:2019-04-28
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (51409265) and the Natural Science Foundation of Zhejiang Province (LY13E090003).

Abstract: The underground rock mass condition is very complex. Therefore, the deficiency of seepage monitoring data exists. To comprehensively analyze the underground seepage field in time and space, it is necessary to replenish the missing data. Three types of supplement methods of missing data are proposed: missing data in time sequence can be replenished by creating monitoring statistic model; missing data on spatial sections can be supplemented by regression analysis modified by physical factors; missing data in the whole area can be replenished by back analysis calculation. All these can reflect the regulation of missing data and the influence of chronological and spatial factors on measuring data. Integrated and comprehensive seepage field is obtained, by which seepage stability can be determined, providing reference to project evaluation. These methods are used in Tianhuangping power station. The results show that the complementary piezometric heads and flow rates are in good agreement with the measured data, the back-analyzed seepage field conforms to the engineering practice, and the locations where seepage failure may happen are effectively determined by the back-calculated field. Engineering suggestions are proposed based on the seepage stability, which has instructive meaning to project reinforcement.

Key words: seepage, data deficiency, statistical model, back-analysis, seepage stability

CLC Number: 

  • TU 457
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