›› 2006, Vol. 27 ›› Issue (S1): 1119-1122.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

ANFIS model for predicting deformation of dam

SHEN Xi-zhong1,2, ZNANG Wen-ge1, FONG Xia-ting2   

  1. 1. Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China; 2. Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
  • Received:2006-03-20 Published:2006-12-15

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Abstract: In forecasting deformation of dam, many influential factors exist as well as interrelation of factors was complex. Hence, general simulation functions are difficultly to meet the needs of safety supervising of dam. As we know, adaptive neural-fuzzy inference system(ANFIS) has good capability of fuzzy system and artificial neural network. Influential factors of deformation of diaphragm wall analyzed systemically as well as effects of temperature, time, and water level of reservoir considered, predicting model of deformation of dam is established based on ANFIS. Taking the second stage cofferdam of Three Gorges Project for example, the studies are carried out with this model. The results show that the model is simple in calculation and good in applicability and precision, so as to provide a new method for forecasting deformation of dam.

Key words: dam, deformation, adaptive neural-fuzzy inference system(ANFIS), Three Gorges Project

CLC Number: 

  • TV 640.31
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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