Paper Title:
Forecast Model of Phreatic Surface on Tailings Dam Based on GM-GRNN Theory
  Abstract

Due to the extremely complicated seepage boundary conditions of tailing dam, the calculation results adopting two-dimensional simplified theory may greatly different from the measured results. It is urgent need of an accurate calculation method to forecast phreatic surface. In-depth analysis of factors affecting tailings dam phreatic surface, phreatic surface prediction model based on GRNN and GM (1,1) was established. A tailing dam engineering is tested using this model. It shows that the model uses the advantages of "accumulative generation" of a Gray prediction method, which weakens the original sequence of random disturbance factors, and increases the regularity of data. It also makes full advantage of the GRNN approximation performance, which has a fast solving speed, describes the nonlinear relationship easily, and avoids the defects of Gray theory.

  Info
Periodical
Edited by
Ran Chen
Pages
3403-3407
DOI
10.4028/www.scientific.net/AMM.44-47.3403
Citation
F. Y. Wang, Z. S. Xu, L. J. Dong, "Forecast Model of Phreatic Surface on Tailings Dam Based on GM-GRNN Theory", Applied Mechanics and Materials, Vols. 44-47, pp. 3403-3407, 2011
Online since
December 2010
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