Displacement back analysis of rock mechanical parameters of large-scale underground powerhouse with unloading surrouding rockmass
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Displacement back analysis of rock mechanical parameters of large-scale underground powerhouse with unloading surrouding rockmass
Vol. 29, Issue 6, (2008)
作者机构:
1. 长江科学院 水利部岩土力学与工程重点实验室,武汉,430010
2. 长江勘测规划设计研究院,武汉,430010
作者简介:
基金信息:
DOI:
CLC:TU457
Online First:15 July 2013,
Published:2008
稿件说明:
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DONG Zhi-hong, DING Xiu-li, LU Bo, et al. Displacement back analysis of rock mechanical parameters of large-scale underground powerhouse with unloading surrouding rockmass[J]. 2008, 29(6).
DOI:
DONG Zhi-hong, DING Xiu-li, LU Bo, et al. Displacement back analysis of rock mechanical parameters of large-scale underground powerhouse with unloading surrouding rockmass[J]. 2008, 29(6).DOI:
Displacement back analysis of rock mechanical parameters of large-scale underground powerhouse with unloading surrouding rockmass
Displacement back analysis based on the in-situ measured information is one of the important parts that compose the dynamics measurement-control and information-oriented construction of the underground project. On the basis of measured displacements of surrounding rockmass
a system analysis method for back analysis of rock mechanics mechanical is established
which is used to gain the unloading surrounding rock mechanical parameters of the large-scale underground powerhouse (excavating span 30 meters and height 78.5 meters) of Pengshui Project on Wujiang River. The analysis method includes uniform design (UD) ,BP artificial neural network(BP-ANN)and genetic algorithm (GA) .Uniform design and numerical simulation are used to gain training samples of BP-ANN
and BP-ANN is used to simulate the relationship between rock mass displacements and rock mechanical parameters. In addition
the initial input weights of BP-ANN model are optimized by genetic algorithm (GA) because the initial input weights of BP artificial neural network model strongly affect the accuracy of neural network. And the rock mechanical parameters are gained through the trained BP-ANN and measured increment displacement of surrounding rock mass. Finally
the surrounding rock mass displacements induced by the excavation of underground powerhouse are forecasted. According the result
the forecasting displacements are approximate to the measured ones; so as to validate
the rightness and reliability of the above method.