Intelligent Identification of High Rock-Filled Embankment Constitutive Model Parameters

Abstract:

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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)

Edited by:

Yanguo Shi and Jinlong Zuo

Pages:

2139-2142

DOI:

10.4028/www.scientific.net/AMR.183-185.2139

Citation:

C. Z. Yang and 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:

$35.00

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