›› 2002, Vol. 23 ›› Issue (6): 737-741.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

3-D back-analysis of initial ground stress based on ANN-RBF

JIANG Zhong-ming1,2, XU Wei-ya1   

  1. 1.Research Institute of Geotechnical Engineering, Hohai University, Nanjing 210098, China; 2. College of Civil & Hydropower Engineering, China Three Gorges University, Yichang 443002, China
  • Received:2001-11-26 Online:2002-12-10 Published:2016-09-04

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Abstract: Most of the methods which used to estimate the initial ground stress are reviewed. A new approach integrating the theory of finite element method and theory of artificial neural network based on radial basis function (RBF-ANN) was suggested to simulated the initial ground stress. Over fitting could be avoided by using ANN-RBF during the back analysis process. The new approach based on the 3D-FEM integrated the advantage of other methods and took into account of the influence of diverse factors including fault on the initial ground stress. Therefore, back-analysis results are more reliability. Case study shows that the reasonability of initial ground stress simulated by using this approach. In addition, the faults have been considered in 3D-FEM model to evaluate the influence on the initial ground stress and it is helpful to understand the distributing law of initial ground stress.

Key words: artificial neural network, radial basis function, initial ground stress, 3D back-analysis

CLC Number: 

  • TU 452
  • 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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