3D Back Analysis of Initial Stress Field Based on Neural Network RBF Model

Abstract:

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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 et al., "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:

$35.00

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