Paper Title:
Intelligent Identification of High Rock-Filled Embankment Constitutive Model Parameters
  Abstract

Based on the orthogonal design method, the finite element method was combined with the artificial neural network to have established high rock-filled embankment constitutive model parameters inverse analysis method. According to orthogonal design requirements, the level of inversion parameters were selected and the numerical simulation program were determined. By ANSYS software calculated out the analysis samples of neural network and trained the BP neural network.Using the field monitoring displacement,the soil constitutive model parameters were identified and the inversion parameters were compared with the theoretical value.The results show that: the maximum relative error of the inversion value with the theoretical value is no more than 9%,which meets accuracy requirements.

  Info
Periodical
Advanced Materials Research (Volumes 183-185)
Chapter
Materials Engineering
Edited by
Yanguo Shi and Jinlong Zuo
Pages
2139-2142
DOI
10.4028/www.scientific.net/AMR.183-185.2139
Citation
C. Z. Yang, X. D. Xu, "Intelligent Identification of High Rock-Filled Embankment Constitutive Model Parameters", Advanced Materials Research, Vols. 183-185, pp. 2139-2142, 2011
Online since
January 2011
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Price
$32.00
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