The Application of Seepage Flow Prediction in Nuer Dam Based on the Grey Self-Memory Model

Author:

Wang Ai-Feng12ORCID,Yang Xiu-Tao3,Guo Da-Hai4ORCID

Affiliation:

1. School of Architecture, Nanyang Institute of Technology, Nanyang, Henan, 473004, China

2. Guizhou Provincial Key Laboratory of Rock and Soil Mechanics and Engineering Safety, Guiyang 550025, China

3. Henan Planning Design & Research Institute Co. Ltd.Zhengzhou, Henan, 450000, China

4. The Nuer Hydro-Junction Projection and Construction Authority in XinJiang Tarim River Basin, Xinjiang, 848300, China

Abstract

The accurate time prediction of seepage pressure in the dam has essential significance for the safety of the dam body and the life and property of people. To predict the time sequence of seepage pressure, the grey self-memory model is introduced at first, and its calculative procedure is analyzed. Then, the engineering overview in the Nuer dam is narrated, and the prediction model of seepage pressure in the Nuer dam is established and analyzed based on the grey self-memory theory. Finally, the conclusions are drawn that relatively to GM (1,1), the grey self-memory model has higher accuracy, and it not only can predict the time sequence of seepage pressure in the Nuer reservoir accurately but also provide a new method for the development trend of seepage flow in the hydraulic engineering in the future.

Funder

Regional Innovation Cooperation Programs of Sichuan Province

Publisher

Hindawi Limited

Subject

General Earth and Planetary Sciences

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