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Proceedings Paper

Intelligent displacement back analysis for excavation of an underground powerhouse in China
Author(s): W. M. Yang; S. C. Li; M. T. Li; X. J. Li; N. Liu
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Paper Abstract

Back analysis is an effective method to obtain the rock mass mechanical parameters with measured displacements. But the traditional back analysis methods have some shortcomings, such as narrow scope of application and instability. The intelligent back analysis method which incorporates a neural network and a genetic algorithm can overcome the drawbacks mentioned above and give satisfactory results. In this paper, based on orthogonal design, neural network and genetic algorithms, the intelligent displacement back analysis was carried out for the excavation of an underground powerhouse of a pumped storage power station in China. First, a series of samples were selected to train the neural network so that the relations between displacement of rock mass and parameters were erected. Then the optimum values of parameters were gotten taking advantage of optimization of genetic algorithms. Substituting the obtained parameters into FDM software for forward computation, it was found that the calculated displacements agreed the measured data well. The intelligent back analysis method can be used as a powerful tool to find out the optimum mechanical parameters of rock mass.

Paper Details

Date Published: 24 August 2009
PDF: 7 pages
Proc. SPIE 7375, ICEM 2008: International Conference on Experimental Mechanics 2008, 73752R (24 August 2009); doi: 10.1117/12.839228
Show Author Affiliations
W. M. Yang, Shandong Univ. (China)
Ecole Polytechnique Fédérale de Lausanne (Switzerland)
S. C. Li, Shandong Univ. (China)
M. T. Li, Shandong Univ. (China)
X. J. Li, Shandong Univ. (China)
Shandong Jianzhu Univ. (China)
N. Liu, Shandong Univ. (China)

Published in SPIE Proceedings Vol. 7375:
ICEM 2008: International Conference on Experimental Mechanics 2008
Xiaoyuan He; Huimin Xie; YiLan Kang, Editor(s)

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