Paper Title:
3D Back Analysis of Initial Stress Field Based on Neural Network RBF Model
  Abstract

Based on geological condition of underground factory building in Hohhot pumped storage power station, research and analysis are taken for the fundamental element which affect initial stress field, 3D finite element model of underground factory building is build for the analysis. Beigin with regrssion analysis, adopt linear elasticity caculation of finite element method to take linear regression analysis, and obtain range of optimized parameters. Adopt homogeneous design to definite various assemblies of optimized parameters at different levels. Obtain training sample by elasto plastic caculation of finite element, train for RBF model in oder to get inverse model of ground stress field. The calculation result shown that: RBF model overcome the disadvantages such as slow calculating speed and overfitting of BP model, and it could obtain distrubution rule of initial stress filed by inverse analysis in a reasonable way.

  Info
Periodical
Advanced Materials Research (Volumes 243-249)
Edited by
Chaohe Chen, Yong Huang and Guangfan Li
Pages
3223-3228
DOI
10.4028/www.scientific.net/AMR.243-249.3223
Citation
Z. F. Wang, H. D. Liu, T. Jiang, S. W. Wan, "3D Back Analysis of Initial Stress Field Based on Neural Network RBF Model", Advanced Materials Research, Vols. 243-249, pp. 3223-3228, 2011
Online since
May 2011
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Price
$32.00
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